Ming Zhu's starred repositories
cs-video-courses
List of Computer Science courses with video lectures.
Open-Assistant
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
stanford_alpaca
Code and documentation to train Stanford's Alpaca models, and generate the data.
alpaca-lora
Instruct-tune LLaMA on consumer hardware
generative_agents
Generative Agents: Interactive Simulacra of Human Behavior
mistral-src
Reference implementation of Mistral AI 7B v0.1 model.
PaLM-rlhf-pytorch
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
machine-learning-cheat-sheet
Classical equations and diagrams in machine learning
DeepSeek-Coder
DeepSeek Coder: Let the Code Write Itself
LeetCode-Solutions
🏋️ Python / Modern C++ Solutions of All 3141 LeetCode Problems (Weekly Update)
codeinterpreter-api
👾 Open source implementation of the ChatGPT Code Interpreter
Play-Leetcode
My Solutions to Leetcode problems. All solutions support C++ language, some support Java and Python. Multiple solutions will be given by most problems. Enjoy:) 我的Leetcode解答。所有的问题都支持C++语言,一部分问题支持Java语言。近乎所有问题都会提供多个算法解决。大家加油!:)
Alpaca-CoT
We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tuning) together for easy use. We welcome open-source enthusiasts to initiate any meaningful PR on this repo and integrate as many LLM related technologies as possible. 我们打造了方便研究人员上手和使用大模型等微调平台,我们欢迎开源爱好者发起任何有意义的pr!
pyan
pyan is a Python module that performs static analysis of Python code to determine a call dependency graph between functions and methods. This is different from running the code and seeing which functions are called and how often; there are various tools that will generate a call graph in that way, usually using debugger or profiling trace hooks - for example: https://pycallgraph.readthedocs.org/ This code was originally written by Edmund Horner, and then modified by Juha Jeronen. See README for the original blog posts and links to their repositories.