Stars
My learning notes for ML SYS.
A reproduction of the Deepseek-OCR model including training
This project is focused on NLP - News Classification. It utilizes various natural language processing techniques and deep - learning models to classify news articles.
MiniCPM-V 4.5: A GPT-4o Level MLLM for Single Image, Multi Image and High-FPS Video Understanding on Your Phone
Jupyter notebooks for the Natural Language Processing with Transformers book
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Open-source search and retrieval database for AI applications.
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
DeerFlow is a community-driven Deep Research framework, combining language models with tools like web search, crawling, and Python execution, while contributing back to the open-source community.
Test-Driven Development in Go, published by Packt
Minimal reproduction of DeepSeek R1-Zero
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
Benchmark LLMs by fighting in Street Fighter 3! The new way to evaluate the quality of an LLM
Accessible large language models via k-bit quantization for PyTorch.
Source Code for the Book Classic Computer Science Problems in Python
Delve is a debugger for the Go programming language.
Audio transformations library for PyTorch
An assignment for CMU CS11-711 Advanced NLP, building NLP systems from scratch
[ACL-IJCNLP 2021] Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning
Learn to serve Stable Diffusion models on cloud infrastructure at scale. This Lightning App shows load-balancing, orchestrating, pre-provisioning, dynamic batching, GPU-inference, micro-services wo…
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
Learning Shell，Python，Golang，System，Network
🙃 A delightful community-driven (with 2,400+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python…