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📚 Freely available programming books
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
Turn (almost) any Python command line program into a full GUI application with one line
Minimal and clean examples of machine learning algorithms implementations
Most popular metrics used to evaluate object detection algorithms.
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
Implementation and experiments of graph embedding algorithms.
A fast, efficient universal vector embedding utility package.
An open-source tool for visual and modular block programming in python
A learning rate range test implementation in PyTorch
PyTorch dataset extended with map, cache etc. (tensorflow.data like)
Torchélie is a set of utility functions, layers, losses, models, trainers and other things for PyTorch.