An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

Code and documentation to train Stanford's Alpaca models, and generate the data.

This repo contains annotated research papers that I found really good and useful

A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/

GTP engine and self-play learning in Go

This repository is a compilation of free resources for learning Data Science.

List of Computer Science courses with video lectures.

starter from "How to Train a GAN?" at NIPS2016

An algorithm that generalizes the paradigm of self-play reinforcement learning and search to imperfect-information games.

Bringing Old Photo Back to Life (CVPR 2020 oral)

Notes for courses taken at Harvard (2015--2019)

A complete computer science study plan to become a software engineer.

Integrating the Best of TF into PyTorch, for Machine Learning, Natural Language Processing, and Text Generation. This is part of the CASL project: http://casl-project.ai/

Pytorch implemention of Deep CNN Encoder + LSTM Decoder with Attention for Image to Latex

Machine learning, in numpy

Text recognition (optical character recognition) with deep learning methods, ICCV 2019

该存储库包含由deeplearning.ai提供的相关课程的个人的笔记和实现代码。

Learning Vim and Vimscript doesn't have to be hard. This is the guide that you're looking for 📖

leetcode problems I solved to prepare for my Google interview.

Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.