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keras 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理。

Deep Learning for humans

jax 是用 Python 编写的开源项目，主题标签有限，建议打开仓库查看具体用途。

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

d2l-en 是用 Python 编写的学习资料，用于系统学习与查阅。

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, M…

best-of-ml-python 是一个学习资料，用于系统学习与查阅。

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

ivy 是用 Python 编写的开源项目，主题标签有限，建议打开仓库查看具体用途。

Convert Machine Learning Code Between Frameworks

wandb 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理。

The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

einops 是用 Python 编写的学习资料，用于系统学习与查阅，主打功能完整、可扩展。

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

trax 是用 Python 编写的学习资料，用于系统学习与查阅。

Trax — Deep Learning with Clear Code and Speed

maths-cs-ai-compendium 是用 TypeScript 编写的学习资料，用于系统学习与查阅。

Become a cracked AI/ML researcher/engineer with this unconventional textbook covering maths, computing, and ML with intuition.

autograd 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理。

Efficiently computes derivatives of NumPy code.

flax 是用 Jupyter Notebook 编写的代码库，提供可直接复用的能力。

Flax is a neural network library for JAX that is designed for flexibility.

pyprobml 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅。

Python code for "Probabilistic Machine learning" book by Kevin Murphy

interviews.ai 是一个学习资料，用于系统学习与查阅。

It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it i…

whisper-jax 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅。

JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.

datasets 是用 Python 编写的学习资料，用于系统学习与查阅。

TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...

deepxde 是用 Python 编写的学习资料，用于系统学习与查阅。

A library for scientific machine learning and physics-informed learning

iree 是用 C++ 编写的学习资料，用于系统学习与查阅。

A retargetable MLIR-based machine learning compiler and runtime toolkit.

dreamerv3 是用 Python 编写的学习资料，用于系统学习与查阅。

Mastering Diverse Domains through World Models

scenic 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理。

Scenic: A Jax Library for Computer Vision Research and Beyond

TransformerEngine 是用 Python 编写的学习资料，用于系统学习与查阅。

A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on Hopper, Ada …

pennylane 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理，主打开源免费。

PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quan…

dm-haiku 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理。

JAX-based neural network library

brax 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅。

Massively parallel rigidbody physics simulation on accelerator hardware.

uvadlc_notebooks 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅。

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023