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Open-source foundational library for training deep learning models with PyTorch.
A Python toolkit for building and fine-tuning deep learning models, including NLP and question answering.
AMD-SHARK Studio is a web UI for the SHARK+IREE high-performance machine learning distribution.
An open-source tool for quickly annotating and labeling images for computer vision and deep learning projects.
A deep learning library for Haskell, enabling developers to build advanced AI models and applications.
A deep learning toolkit for medical image analysis, supporting a variety of neural network models and medical imaging tasks.
A comprehensive collection of resources for learning machine learning in Russian.
A Python/Pytorch app for easily synthesising human voices
A curated list of best AI resources for developers, including tutorials, libraries, and tools.
Example Android app demonstrating how to use TensorFlow for machine learning on Android devices.
A library for self-supervised learning on graphs, providing contrastive, generative, and predictive pretext tasks.
A curated list of Machine Learning, AI, and NLP solutions for iOS development.
A Python repository for experimenting with deep learning and computer vision using images of cats.
Knet.jl is a deep learning framework for the Julia programming language, focused on research and scientific computing.
A curated list of recent Transformer-based computer vision papers and implementations.
Official repository of a book on deep learning with PyTorch, a popular machine learning framework.
An implementation of federated learning, a distributed machine learning technique, using PyTorch.
Unified Training of Universal Time Series Forecasting Transformers for accurate time series forecasting.
Reference Jupyter notebooks and demo AI/ML applications for enterprise use cases
This open-source repository provides a comprehensive set of Chinese tutorials for the popular OpenCV computer vision library in Python.
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