[ICCV 2023 & AAAI 2023] Binary Adapters & FacT, [Tech report] Convpass

Refine high-quality datasets and visual AI models

A quick guide (especially) for trending instruction finetuning datasets

distributed trainer for LLMs

GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.

PECOS - Prediction for Enormous and Correlated Spaces

For optimization algorithm research and development.

Must-read papers on graph neural networks (GNN)

Paper Lists for Graph Neural Networks

A timeline of some of the greatest hits in cryptocurrencies, NFTs, and other web3 projects since the beginning of 2021

Go implementation of MEV-Auction for Ethereum

links to conference publications in graph-based deep learning

Resumes generated using the GitHub informations

This script can batch transfer any SPL token to multiple addresses listed in a CSV, and then save the tx hash to a new CSV. You can use the following mainnet fork RPC to test the functionalities fo…

Pool-based active learning in Python

Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.

This is originally a collection of papers on neural network accelerators. Now it's more like my selection of research on deep learning and computer architecture.

Growth 3.0 with React Native - an app to help you to be Awesome Developer

Abseil Common Libraries (C++)

sketch + style = paints 🎨 (TOG2018/SIGGRAPH2018ASIA)

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.

Library for fast text representation and classification.

An Open Source Machine Learning Framework for Everyone

Deep Learning and deep reinforcement learning research papers and some codes