Chu Đức Thắng's starred repositories
rl_neuralmmo
Multiagent Environment using Neural MMO
automatic-noise-filtering
[AAMAS 2023] Code for the paper "Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning"
mask-distractions
[AAMAS 2024] Code for the paper "MaDi: Learning to Mask Distractions for Generalization in Visual Deep RL"
the-incredible-pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
anonystick
FullStack
awesome-neurips-2023
Conference schedule, top papers, and analysis of the data for NeurIPS 2023!
icml2023_learning_on_graphs
List of papers on ICML2023.
first-contributions
🚀✨ Help beginners to contribute to open source projects
GPU-Puzzles
Solve puzzles. Learn CUDA.
Tensor-Puzzles
Solve puzzles. Improve your pytorch.
Awesome-Language-Model-on-Graphs
A curated list of papers and resources based on "Large Language Models on Graphs: A Comprehensive Survey".
algorithmic-efficiency
MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvements in both training algorithms and models.
deep-learning-wizard
Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, Apptainer, and more.
ml_and_brain_2023
CMPUT 624 at UAlberta / Machine Learning & the Brain Repo. Course Landing page with links to videos, code and slides.
Awesome-Out-Of-Distribution-Detection
Out-of-distribution detection, robustness, and generalization resources. The repository contains a professionally curated list of papers, tutorials, books, videos, articles and open-source libraries etc
tech-interview-handbook
💯 Curated coding interview preparation materials for busy software engineers
how-to-contribute-to-open-source
A guide to contributing to open source
pytorch2jax
Pytorch2Jax is a small Python library that provides functions that wraps PyTorch models into Jax functions and Flax modules.
geometric-gnn-dojo
Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks.
tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
tf-gnn-samples
TensorFlow implementations of Graph Neural Networks
google-research
Google Research
awesome-neural-geometry
A curated collection of resources and research related to the geometry of representations in the brain, deep networks, and beyond
spinningup
An educational resource to help anyone learn deep reinforcement learning.