truongchien,Chien Truong-Quoc,github

adamwr

Implements https://arxiv.org/abs/1711.05101 AdamW optimizer, cosine learning rate scheduler and "Cyclical Learning Rates for Training Neural Networks" https://arxiv.org/abs/1506.01186 for PyTorch framework

amfe

Nonlinear Finite Element Code for structural applications with simplicity in mind.

annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

athena

A GUI for automated sequence design of wireframe scaffolded DNA origami

atomic2field

Codes for translating structural defects to atomic properties

awesome-diffusion-models

A collection of resources and papers on Diffusion Models

awesome-equivariant-network

Paper list for equivariant neural network

awesome-gnn

A list for GNNs and related works.

awesome-graph-neural-networks

Paper Lists for Graph Neural Networks

awesome-graph-pde

This is a collection of resources about partial differential equations, deep learning, graph neural networks, dynamic system simulation.

awesome-graph-transformer

Papers about graph transformers.

awesome-machine-learning-interpretability

A curated list of awesome machine learning interpretability resources.

awesome-neural-ode

A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.

awesome-optimal-transport

A list of awesome papers and cool resources on optimal transport and its applications in general! As you will notice, this list is currently mostly focused on optimal transport for machine learning topics.