Highlights
- Pro
Lists (1)
Sort Name ascending (A-Z)
Stars
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
FastAPI framework, high performance, easy to learn, fast to code, ready for production
《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。
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
A simple Python Pydantic model for Honkai: Star Rail parsed data from the Mihomo API.
《Designing Data-Intensive Application》DDIA 第一版 / 第二版 中文翻译
Best Practices on Recommendation Systems
Train transformer language models with reinforcement learning.
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
Python for《Deep Learning》,该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
A fluent design widgets library based on C++ Qt/PyQt/PySide. Make Qt Great Again.
Dependency injection framework for Python
A unified, comprehensive and efficient recommendation library
Anki plugin to expose a remote API for creating flash cards.
A lightweight library for PyTorch training tools and utilities
📖《Python Parallel Programming Cookbook》中文版
Research on Tabular Deep Learning: Papers & Packages
TensorDict is a pytorch dedicated tensor container.
Benchmark of federated learning. Dedicated to the community. 🤗
Pytorch implementation of the paper Exploring Simple Siamese Representation Learning.
[ICLR2023] Official Implementation of Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (https://arxiv.org/abs/2210.00226)
A JSON formatter that produces compact but human-readable