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🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Models and examples built with TensorFlow
A curated list of awesome Machine Learning frameworks, libraries and software.
scikit-learn: machine learning in Python
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
TensorFlow code and pre-trained models for BERT
A toolkit for developing and comparing reinforcement learning algorithms.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
The fundamental package for scientific computing with Python.
We have made you a wrapper you can't refuse
LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source …
Graph Neural Network Library for PyTorch
Image augmentation for machine learning experiments.
Python package built to ease deep learning on graph, on top of existing DL frameworks.
The pytest framework makes it easy to write small tests, yet scales to support complex functional testing
Low-code framework for building custom LLMs, neural networks, and other AI models
TensorFlow-based neural network library
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
Implementation of Graph Convolutional Networks in TensorFlow
Efficiently computes derivatives of NumPy code.
TensorFlow Neural Machine Translation Tutorial