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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
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
PyTorch Tutorial for Deep Learning Researchers
You like pytorch? You like micrograd? You love tinygrad! ❤️
Image-to-Image Translation in PyTorch
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas…
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
Low-code framework for building custom LLMs, neural networks, and other AI models
An educational resource to help anyone learn deep reinforcement learning.
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.…
Code for the manim-generated scenes used in 3blue1brown videos
Deep universal probabilistic programming with Python and PyTorch
An elegant PyTorch deep reinforcement learning library.
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
Matplotlib styles for scientific plotting
An open source python library for automated feature engineering