Yiming Li's repositories
AI-System
System for AI Education Resource.
awesome-chatgpt-prompts-zh
ChatGPT 中文调教指南。各种场景使用指南。学习怎么让它听你的话。
Awesome-DynamicGraphLearning
Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs). 将深度学习技术(图神经网络等)应用在动态图、动态网络、动态知识图谱上的论文、工具等。
COVID-19
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
craig
Data-efficient Training of Machine Learning Models
deep-active-learning
Deep Active Learning
dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
EvolveGCN
Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
GNNPapers
Must-read papers on graph neural networks (GNN)
gpucb
Simple implementation of GP-UCB algorithm.
GraphSAINT
[ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive Learning Method).
Literatures-on-GNN-Acceleration
A reading list for deep graph learning acceleration.
luckylym.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
NAS
Works built upon DARTS
pytorch-sentiment-analysis
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
pytorch_geometric_temporal
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
Quantization
Data and model quantization
ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
seed_rl
SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.
TOC
Trie-based Matrix Compression