Pytorch jobs
...serving models on the Bittensor network. Requirements: Bachelor's or Master's degree in Computer Science or a related field. Extensive experience developing and fine-tuning AI models, with a focus on NLP models. Experience working with EleutherAI/gpt-j models. Experience serving models on the Bittensor network or similar decentralized networks. Strong knowledge of deep learning frameworks such as PyTorch or TensorFlow. Ability to collaborate with a team to optimize models for specific use cases. Strong problem-solving and analytical skills. Additional Information: We will be able to provide the computing resources required to train and serve the model on the Bittensor network. The model will need to make it through the immunity period when served on the Bittensor netw...
I'm seeking a t...develop a project that will identify dementia as present, very mild, mild, or moderate from MRI images datasets. The project will require the use of a PyTorch framework, and a Generative Adversarial Network (GAN) to build the machine learning model. We need a skilled freelancer who is experienced with setting up and training GANs on MRI images data, and is able to successfully evaluate model performance and accuracy. Furthermore, I need an experienced coder who is able to optimise model hyperparameters for maximum model accuracy and efficiency. The ideal candidate will have a proven track record and knowledge in developing models with PyTorch and GANs. If you think you could fulfill this requirements please do not hesitate reach out. I'm looking f...
...advancements Requirements: • Bachelor's or Master's degree in Computer Science, Engineering or related field • Proven experience in developing and deploying AI solutions • Strong understanding of machine learning, deep learning, natural language processing and computer vision • Proficient in programming languages such as Python, Java, C++ and R • Familiarity with AI platforms such as TensorFlow, Keras, PyTorch and scikit-learn • Strong analytical, problem-solving and communication skills • Ability to work collaboratively in a team environment If you have a passion for AI and enjoy working in a fast-paced and dynamic environment, we encourage you to apply for this exciting opportunity with our growing AI company. We offer competitive ...
...simply take in one parameter, the image file from a local file system directory (windows preferred, but Linux is ok too if there's a technical reason that it's necessary), and then utilize some type of machine learning based algorithm (GAN or otherwise) to render a realistic looking skin texture on the drawing contained in the source image. I'm ok if this requires something like Tensorflow or Pytorch installed first in order to run. Once the render is complete, the script should produce a new image file (jpg, png, etc..) with the skin texture overlayed on the original source drawing. The output should look as photorealistic as possible, using modern ML techniques. I've attached some sample drawings to this project, these can also be used for testing the Pyth...
...and train AI models using TensorFlow, PyTorch, or Keras to extract relevant information from orthophotos Integrate the GPT-3 API for NLP functionalities and enhanced user interaction Test and optimize the application to ensure it meets user expectations and requirements Deploy the application on a web server or cloud service Create detailed documentation for the application, including user guides and developer information Provide ongoing support and maintenance as needed Requirements: Proven experience in web application development using Python, Flask or Django, and frontend technologies (HTML, CSS, JavaScript, React or Angular) Strong knowledge of CAD libraries, such as FreeCAD or AutoCAD Experience in AI model development using TensorFlow, PyTorch, or Keras Familiarity...
This project includes a reproduction of the results of a paper that has its code along with it. Only one of the experiments in the paper needs to be implemented which is introduced in the file. The freelancer must reimplement the core contribution based on the description in the paper and make a git repository to upload the codes in it. The code needs to be written with Pytorch. Along with the code, I require a detailed description of the work you have done. For more information on the project refer to the file.
I am looking for someone to work on a simple Python coding work with Nvidia GPUs. Must understand Nvidia GPUs, PyTorch, CuPy, Parallel Processing, Parallel Computing and good at Python programming. Must be expert in computer science, numerical libraries, performance optimization and parallel programing. This project is to make sure you know the work. After this one, several projects small and big projects will follow for the right person.
Hi, I'm looking for someone who has worked with Pytorch and worked with its C++ apis for training or inference for deep neural network models. Please bid only if you have worked with both.
I am looking for someone to implement a Neural Implicit Representation for images using deep neural networks. I want the development to be done in Python and Pytorch. Looking forward to receiving bids and discussing the project in more detail.
Stock market predictor using deep learning (LSTM network pytorch) on NIFTY 50 Index values of the National Stock Exchange of India. Based on the data of 2020 to 2022, build LSTM network and then use this model to predict the closing value of NIFTY 50 for the period January 2023 till June 2023 with a prediction horizon of one week. Data should be taken from National Stock Exhange of India website.
...improvement. You should develop at least 3 different classifiers, which you will then present and compare in your report. Please develop at least 2 classifiers based on (1) traditional machine learning methods such as MaxEnt, SVM or Naïve Bayes trained on different sets of features (you could use Scikit-learn library). Then, train an another classifier based on the LSTM using PyTorch (and optionally the torchtext library) by following the steps below: a) Download the GloVe word embeddings and map each word in the dataset into its pretrained GloVe word embedding. First go to and download the pre-trained embeddings from 2014 English Wikipedia into the "data" directory. It's a 822MB zip file named , containing 100-dimensional
...to team projects Apply problem-solving and critical thinking skills to overcome obstacles Implement ethical AI practices in all projects Required Skills/Qualifications: Strong background in AI and ML, with experience in systems such as hypothetical AI systems for autonomous vehicles and OpenAI research Proficiency in programming languages like Python, R, Julia, and frameworks like TensorFlow, PyTorch, Scikit-learn, and Hugging Face Transformers Expertise in data preprocessing and cleaning using tools like Pandas, NumPy, OpenCV, NLTK, and Hugging Face Datasets Proficiency in feature engineering techniques and tools, such as Featuretools, Scikit-learn, PCA, and OpenAI API Experience with model training and evaluation using K-fold cross-validation, GridSearchCV, RandomizedSearchCV,...
...Back-end: Python: A versatile programming language widely used for web development, data analysis, and machine learning tasks. Flask or Django: Python web frameworks for building scalable and maintainable web applications. MongoDB: A NoSQL database system known for its flexibility, performance, and scalability, suitable for handling large and complex data sets. Machine Learning: TensorFlow or PyTorch: Open-source machine learning frameworks for developing, training, and deploying deep learning models, such as CNNs. OpenCV: A computer vision library that can be used for preprocessing and augmenting the trading card images. Additional Tools and Services: Git and GitHub: Version control and code repository management tools for collaborative development. Continuous Integration/Con...
We are looking for a talented machine learning engineer to help us reduce the size of our EleutherAI/gpt-neox-20b and EleutherAI/gpt-j-6B and similar models using an MP method. The successful candidate will be responsible for designing and implementing an MP module to reduce the RAM requi...implementation for future reference Requirements: A degree in computer science, machine learning, or a related field Strong experience in machine learning model compression techniques, particularly MP methods Experience working with large language models such as EleutherAI/gpt-neox-20b and EleutherAI/gpt-j-6B Strong programming skills in Python and experience with deep learning frameworks such as PyTorch and TensorFlow Good communication skills and the ability to work collaboratively in a team e...
Looking for individual to make a custom AI platform must have experience in Python, Must be familiar with TensorFlow or PyTorch. Also Flask or DJango. Detail requirements will be discussed.
I need a Deep Learning Expert to help in this Project. We need help to change the dataset of existing code. We need to build a hindi hand written text recognition model using transformers ar...need to build a hindi hand written text recognition model using transformers architecture. For this I have referred a paper "Full Page Handwriting Recognition via Image to Sequence Extraction ". And the architecture code for other language (maths equation conversion ) is already available So we need to change the dataset and accordingly code for hindi language recognition. For this, expert in pytorch and deep learning is needed. existing code for math formula translation using the attached architecture : the paper :
Hi, please read the below and send me a message if you think you can go for it! I don't want to receive those automatic replies. I would appreciate you spending a few minutes to check my requirements before messaging me. I would like to reproduce the method proposed in this paper (you can read the methodology section directly); it's really easy and straightforward if you are knowledgeable wi... My application is on HAM dataset for image classification. Please note that I HAVE THE CODE WRITTEN BY ME ALREADY but it's NOT given me the expected output. so you don't have to write/start from the scratch. I need to finish this asap; a maximum of a week. Upon completion of this task, I have several interesting projects so we can work together for a long time! - Code mu...
I am looking for a freelancer who is knowledgeable in Pytorch and the Facebook Deep Learning Recommendation Model (DLRM) to analyze numerical data and generate predictions. This project requires the application of Pytorch and the DLRM model to a given set of numerical data in order to draw conclusions and make predictions. I'm looking for someone who can teach me few nuances about running and using pytorch models,
...amount of data preparation and management. The developer should have experience in preparing and cleaning datasets, as well as managing and storing data. Proficiency in programming languages and AI tools: The developer should be proficient in programming languages commonly used in AI development, such as Python or Java, and should have experience in using AI tools such as TensorFlow, Keras, or PyTorch. Problem-solving and critical thinking skills: Developing an AI model requires problem-solving and critical thinking skills. The developer should be able to identify and troubleshoot issues, as well as suggest and implement solutions. Communication and collaboration skills: The developer should have strong communication and collaboration skills to effectively work with you ...
The model is a Pytorch model with Yolo v5. Django Python and running the model on a server is probably the easiest solution, but we are open to different tech.
Any (or all) of A- PyTorch Video Diffusion model, can be a simplified/stripped down version of one of these two codebases applied to moving MNIST. This codebase works RaMVID B- datascience / ML Dockerfile - Dummy variables for user/cluster info - Can scale number of GPUs - nvidia CUDA and cuDNN version changeable (FROM an nvidia image is fine) - conda package management - only torch necessary, but include lines with comments for other installations Stripped down/simplified Project structure should be - Dockerfile - - - - - - code - - other_files - ... Notes - All input variables must be contained in the yaml files and logically
Project Overview: The goal of this project is to implement a neural network to predict the Latitude and Longitude based on the data provided in the attached file. The previous freelancer attempted to solve the problem by building a neural network using Python and its popular deep learning libraries such as Keras, TensorFlow, and PyTorch. However, the previous freelancer's approach failed to meet the requirements of the project. The previous freelancer's approach involved using PCA, which didn't work, and there was manual feature selection involved, and he also was not able to use RFE. Task Description: Your task is to review the Python code provided by the previous freelancer, understand what has already been completed, and build upon it to develop a solution that...
...Troubleshoot and debug issues that arise with the software. • Stay up-to-date with the latest developments in AI technology. Qualifications: • Bachelor’s or Master’s degree in Computer Science, Engineering or related field. • At least 5 years of experience in software development, with a focus on AI. • Strong programming skills in Python and experience working with frameworks such as TensorFlow, PyTorch, and Keras. • Experience in using and connecting the ChatGPT and DALL-E-2 APIs. • Experience in connecting different AI models and integrating data storage and retrieval systems. • Experience in presenting data on the frontend using technologies such as HTML, CSS, and JavaScript. • Strong problem-solving skills and ability to w...
I'm looking to hire a skilled freelancer to develop a text-to-image synthesis generator for our website. The ideal candidate will have experience wor...thoroughly to ensure it can generate high-quality images from any given text input. - Optimize the application for performance and scalability. Requirements: - Proven experience in developing text-to-image synthesis applications using deep learning techniques. - Strong knowledge of neural networks and image processing. - Experience with computer vision libraries such as OpenCV, TensorFlow, and PyTorch. - Ability to work independently and collaboratively in a team environment. - Strong problem-solving skills and attention to detail. - Excellent communication and documentation skills. Example:
Hi, I already have a VPS on digital ocean with python(django) installed and an API is already working. I want to install this script:
Build a GAN network using PyTorch that includes both training and inference. Build a data classification network using PyTorch that includes both training and inference Code must be well commented, documented and must pass CI checks Work will be done out of a GitHub repository
This application will manage all products from various customers. It will need to interface with several APIs, databases, search engines, and Magento2 marketplace. Product entry forms fields will need auto-search, auto complete, auto suggestion, and potentially decision trees. The application will also need to be able to run multiple AI/CV/ML models (tensorflow/pytorch) and manage QR codes for both products and customers. The application needs to manage product taxonomies/attributes per product. The application needs to be able to receive customer product information via an API from multiple sources. This application needs to have basic user management functionality. You must have experience in databases, APIs (integration and creation), AI/ML/CV, search engines, Magento 2, Py...
Total software industry Experience min 10 to 15 years • 4+ years of experience in a Presales role in Data Science/predictive modelling. 2+ years very strong experience as a Presales Data Scientist will also be considered. • 2+ years of experience in customer facing role in US markets preferable. Experience on machine learning algorithms, DL frameworks and compilers, such as PyTorch, TensorFlow, TensorFlow Lite, TVM, TFLM, Glow, ONNX • Experience in building machine learning solutions applied to real-world problems with optimization techniques. • Collaborate with a cross-disciplinary team to design and implement novel AI solutions for edge devices. • Hands-on experience building and implementing machine learning or AI models Experience collaborating w...
A project that includes noise classification and is based on the Urbansound8K dataset. Initially, the data must be read and converted using either Cousine, Wavelet, or Fourier transformation methods. After that, the data must be normalized to form a CNN. Then the code is trained on this data. In the end the output should allow us to be the effect of noise on the classification a...noise classification and is based on the Urbansound8K dataset. Initially, the data must be read and converted using either Cousine, Wavelet, or Fourier transformation methods. After that, the data must be normalized to form a CNN. Then the code is trained on this data. In the end the output should allow us to be the effect of noise on the classification after the transforms. that should be using PyTorch im...
Using PyTorch for Neural Networks to Create Black- Scholes Model Option Pricer In this exercise, our aim is to learn the Black-Scholes European call option price formula via a deep neural network. Recall the Black-Scholes European call option price formula We first create a sample dataset of model parameters by using moneynees S/K instead of S and K separately. Thus, we create input features as 1. Moneyness: S/K with a narrow range: [0.5, 1.5] and a wide range: [0.4, 1.6] 2. Time to maturity: τ with a narrow range: [0.3, 0.95] and a wide range: [0.2, 1.1] 3. Risk free rate: r with a narrow range: [0.03, 0.08] and a wide range: [0.02, 0.1] 4. Volatility: σ with a narrow range: [0.02, 0.9] and a wide range: [0.01, 1.0] 1.1 Create the dataset Create the dataset using the nar...
Using PyTorch for Neural Networks to Create Black- Scholes Model Option Pricer
...and maintain tools and frameworks for AI and machine learning model deployment and monitoring. Stay up-to-date with the latest trends and advancements in AI and machine learning. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 3+ years of experience in AI and machine learning development. Strong programming skills in Python, TensorFlow, and/or PyTorch. Experience with data preprocessing, data analysis, and data visualization. Knowledge of computer vision, natural language processing, or other AI-related fields. Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud. Strong problem-solving skills and the ability to work in a team environment. ...
I have various ML models, which are built in the pytorch machine learning toolkit Now I am about to compile my own pytorch models to HEF(model format for Hailo-8 platform) Please take a bid if you have rich experience in ML model deployment to various platforms
hello, I need to implement smote to deal with class imbalance problen in pytorch
The project is to analyse a cough sound using a pre-trained PyTorch model inside a React Native application. This need to be offline. Need help from someone who have done this already. ONNX runtime is preferred.
This is only a test to evaluate the potential candidate for a project. The ideal candidate should be proficient in Python language and PyTorch library. If you already have experience with Whisper it's a plus. I need to evaluate the feasibility of an implementation and am looking for a candidate who can demonstrate the ability to do this job. You will be required to analyze the code and answer a few questions. If you can provide correct answers, we will discuss the price and you will be hired directly for the project. You must be willing to work together on the project and explain your code.
Using machine learning(pytorch) develop a model and try different model to predicate the wind condition following step will be consider Data exploration and Data Visualiztion Simple machine learning model Raw Data(CNN) Evaluating Pipeline Multi-task mode Important point this is thesis project, Maybe some point change here and there. We will be working as team.
Hello, I need a code in Python using PyTorch to classify sound with 3 different transforms considering noise manipulation
...using to send audio to the Triton server for inference Create a Dockerfile with a JavaScript client sending audio from the microphone to the Python server, from Python to the Triton server through GRPC, and back to the browser with the transcription Create a Docker Compose file with the three services communicating with each other and ready for testing Compare the inference times of the PyTorch model served directly from Python, the TensorRT model served directly from Python, and the model served through the TensorRT server Evaluate the latency of the communication between the Python server and the TensorRT server The goal is to perform audio inference captured from the user's microphone in browser through communication with the Python server and then from this to the Trit...
Hi, need someone with yolov5/pytorch experience to help with this - I'm training ML model with yolov5 this is my command - python3 -m --nproc_per_node 2 --batch 100 --epochs 1000 --data /home/username/Documents/folder_name/ --weights --device 0,1 --hyp data/hyps/ --name folder_name --patience 0 It will cut out after 30min, because of the default pytorch timeout 1800s. How can I increase it? Thanks described here -
We need a machine learning and data science expert who can create a facial recognition software for us using Insightface face recognition library. Insightface gives you pre trained onnx models, based on Pytorch framework. As Insightface is Python library, the software must be in Python. Detailed specification is attached here as docx. You can expect response by tomorrow. We may provide you GUI for the software.
...Neural Network targeting two fields: Latitude, Longitude. I have attached the file for you to use. The goal of this implementation is to predict the Latitude and Longitude based on the data provided in the attached file. Here are the details for the implementation: The Neural Network should be implemented using Python and its popular deep learning libraries such as Keras, TensorFlow or PyTorch. The data provided in the attached file should be used to train the Neural Network. The data should be split into training and test sets to evaluate the performance of the model. The Neural Network should be designed to take a set of inputs (same as ) and make predictions for Latitude and Longitude. The inputs and outputs should be normalized to ensure that the model can make
Hi, I am looking to hire an exceptional part time Python programmer that has experience with data science libraries such as TensorFlow, NumPy, SciPy, Pandas, Matplotlib, Keras, SciKit-Learn, PyTorch, Scrapy, BeautifulSoup, NLK, Spacy, etc. to help me build data applications on Streamlit. The candidate should also have prior experience applying NLP algorithms and other AI technologies including making use of Open AI. The candidate should also have experience working in Linux, in an AWS and GCP environment, as well as making use of data science platforms such as Snowflakes and Datalore. Don't hesitate to send me a link to your Github or Youtube.
Looking ML experts. I used pretrained models, if u have high GPU after fixing is also good.
We need to develop a function to analyse different types of real time series, representing phisical values such as temperatures, energies etc using AI and ML algorithms. The function should be developed using node-red and tensorflow or pytorch tools. Data are stored in influx db. As a first step a single time series must be developed, though the functio should be easily adapted to other time series.
AI Generated Home Cleaning Training Video We are looking for a developer with experience in AI and deep learning to create an AI generated video for home cleaning training. The video should demonstrate the steps involved in home cleaning and be easy to understand. Requirements: Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras Knowledge of image recognition and generation techniques using deep learning Ability to collect and use data to train the AI model Ability to generate a video using the trained AI model Ability to evaluate the results and make necessary modifications to improve the video's quality Deliverables: A video demonstrating the steps involved in home cleaning The source code and trained AI model used to generate the video Future up...
The goal is to complete Yolov5 image segmentation inferences in Java. So far, I am using OnnxRuntime to send the image tensor to the model and receive the inference tensors. However, the functions used for converting the output tensors to masks are more challenging and need to... The job is successful once we can apply non_max_suppression and process_mask to our arrays/tensors in Java. However, there should not be any significant differences in speed between the Python and Java Implementations. Please send a proposal if you have strong experience with numpy/pytorch, tensors, arrays, ONNX and feel you can complete the job AFTER looking at the two Python functions displayed above.
Hello I need freelancer work in federated learning ( pytorch ) to solve error issue in coding, i need also pretrained models
...model should be able to perform a variety of tasks such as navigating to a specific website, clicking buttons, filling out forms, and performing searches. Skills required: Deep learning and natural language processing: Knowledge of transformer models, attention mechanism, and how to train such models. Python programming: Familiarity with popular deep learning frameworks such as TensorFlow or PyTorch, and programming in Python. Web automation: Knowledge of web automation libraries such as Selenium or Puppeteer, and how to perform actions on a browser programmatically. Data pre-processing: Knowledge of techniques for cleaning and pre-processing data to be used for training deep learning models. Machine learning: Familiarity with basic concepts in machine learning, such as overfit...
