Ming Zhu's repositories
awesome-scalability
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
Awesome-System-for-Machine-Learning
A curated list of research in machine learning system. I also summarize some papers if I think they are really interesting.
chatbot-flask-template
CoronaBot is a chat bot for answering question regarding Coronavirus
ChatterBot
ChatterBot is a machine learning, conversational dialog engine for creating chat bots
CRATE
Code for CRATE (Coding RAte reduction TransformEr).
CS229-Fall-2018-Problem-Solutions
Problem sets solutions of Stanford CS229 Fall 2018.
DALLE2-pytorch
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
design-pattern
Example code for different design patterns.
evpp
A modern C++ network library for developing high performance network services in TCP/UDP/HTTP protocols.
FastChat
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and FastChat-T5.
frameworkcontroller
General-Purpose Kubernetes Pod Controller
googletest
Google Test
GPT-4-LLM
Instruction Tuning with GPT-4
judge
A modern, open-source online judge and contest platform system.
leveldb
LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.
lit-llama
Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.
llama
Inference code for LLaMA models
lws
LeaderWorkerSet: An API for deploying a group of pods as a unit of replication
ML-For-Beginners
12 weeks, 24 lessons, classic Machine Learning for all
modern-cpp-features
A cheatsheet of modern C++ language and library features.
project-layout
Standard Go Project Layout
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
site
A modern, open-source online judge frontend.
stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
stanford_alpaca
Code and documentation to train Stanford's Alpaca models, and generate the data.
talent-plan
open source training courses about distributed database and distributed systemes
traefik
The Cloud Native Application Proxy
vllm
A high-throughput and memory-efficient inference and serving engine for LLMs