Zhengqiang Yin's Projects
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
A high performance and generic framework for distributed DNN training
The default theme for Ghost
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
An Open-Source Assistants API and GPTs alternative. Dify.AI is an LLM application development platform. It integrates the concepts of Backend as a Service and LLMOps, covering the core tech stack required for building generative AI-native applications, including a built-in RAG engine.
Driver programming notes
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
๐ชบ A simple, clean, flexible Ghost theme
An elegant & interesting ghost theme.
Build and share delightful machine learning apps, in Python ๐ Star to support our work!
A minimalist blog theme for hugo.
A clean ghost theme based on ivy theme.
Ongoing research training transformer models at scale
OpenMMLab Computer Vision Foundation
A minimal Jekyll Theme to host your resume (CV)
A word cutter which can used unigram, hmm and end2end method.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
Efficient Streaming Language Models with Attention Sinks
Integrating the Best of TF into PyTorch, for Machine Learning, Natural Language Processing, and Text Generation
๐ค Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Open deep learning compiler stack for cpu, gpu and specialized accelerators
an efficient distributed PyTorch framework