Name: Michael Wang
Type: User
Bio: advanced skills in AI, machine learning and data science can be readily applied to the fields of blockchain/crypto, Web3, fintech, AdTech, investment, & beyond
Location: Silicon Valley
Blog: https://www.linkedin.com/in/michaelshibowang/
Michael Wang's Projects
🙃 A delightful community-driven (with 1500+ contributors) framework for managing your zsh configuration. Includes 200+ optional plugins (rails, git, OSX, hub, capistrano, brew, ant, php, python, etc), over 140 themes to spice up your morning, and an auto-update tool so that makes it easy to keep up with the latest updates from the community.
A tool for running on-premises large language models with non-public data
Building your own video generation model like OpenAI's Sora
Examples and guides for using the OpenAI API
OpenChat: Advancing Open-source Language Models with Imperfect Data
📚 计算机经典编程书籍、大黑书、编程电子书、电子书、编程书籍,包括计算机基础、C/C++、Java、Python、面试题、架构设计、算法系列等经典电子书。
Practical Deep Learning at Scale with MLFlow, published by Packt
A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.
A collective list of free APIs for use in software and web development.
《PyQt5快速开发与实战》配套代码
Python books and studying materials
All Algorithms implemented in Python
Python - 100天从新手到大师
python scripts in the Codecademy Python course
jupyter notebook files; python scripts; python projects
Code included in the book, PyTorch Pocket Reference
PyTorch for Numpy users. https://pytorch-for-numpy-users.wkentaro.com
resources of quantitative trading
R books and studying materials
Questions to ask the company during your interview
A reinforcement learning framework based on MLX.
[CVPR 2023] SadTalker:Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation
Scaling Sentence Embeddings with Large Language Models
Building a quick conversation-based search demo with Lepton AI.
安全思维导图集合
A game theoretic approach to explain the output of any machine learning model.
URL shortening service written in Go and React