yaox12
Follow
Stars
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Scrapy, a fast high-level web crawling & scraping framework for Python.
Rich is a Python library for rich text and beautiful formatting in the terminal.
A high-throughput and memory-efficient inference and serving engine for LLMs
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
Glances an Eye on your system. A top/htop alternative for GNU/Linux, BSD, Mac OS and Windows operating systems.
Image-to-Image Translation in PyTorch
Graph Neural Network Library for PyTorch
Open standard for machine learning interoperability
Datasets, Transforms and Models specific to Computer Vision
Fast and memory-efficient exact attention
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
100+ Chinese Word Vectors 上百种预训练中文词向量
Ongoing research training transformer models at scale
SGLang is a fast serving framework for large language models and vision language models.
💮 amazing QRCode generator in Python (supporting animated gif) - Python amazing 二维码生成器（支持 gif 动态图片二维码）
🐍 Geometric Computer Vision Library for Spatial AI
NumPy aware dynamic Python compiler using LLVM
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.