Fahao Chen's Projects
30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace.
A PyTorch implementation of the Transformer model in "Attention is All You Need".
LSTM and QRNN Language Model Toolkit for PyTorch
Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).
Federated Learning Library: https://fedml.ai
Federated learning on graph and tabular data related papers, frameworks, and datasets.
A collection of AWESOME things about mixture-of-experts
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Since the emergence of chatGPT in 2022, the acceleration of Large Language Model has become increasingly important. Here is a list of papers on accelerating LLMs, currently focusing mainly on inference acceleration, and related works will be gradually added in the future. Welcome contributions!
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code. [work in progress]
cluster data collected from production clusters in Alibaba for cluster management research
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CogDL: An Extensive Toolkit for Deep Learning on Graphs
Repo for the Deep Reinforcement Learning Nanodegree program
Implementation of our proposed defense strategy against adversarial attacks "Defensive Approximation (DA)"
Python package built to ease deep learning on graph, on top of existing DL frameworks.
DGN Code
The implementation of DyG.
Representation learning on dynamic graphs using self-attention networks
Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks
FGNN's artifact evaluation (EuroSys 2022)
My Personal Info
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Distributed Deep Graph Learning Framework for Dynamic Graphs
Must-read papers on graph neural networks (GNN)
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