Rich-XGK

GTMGC

Implementation of GTMGC: Using Graph Transformer to Predict Molecule’s Ground-State Conformation (ICLR2024 Spotlight).

VQGraph

[ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs

AcademicPages

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

adapter-transformers

Huggingface Transformers + Adapters = ❤️

al-folio-hp

A beautiful, simple, clean, and responsive Jekyll theme for academics

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Awesome-CV

:page_facing_up: Awesome CV is LaTeX template for your outstanding job application

consistency_models

A mini-library for training consistency models.

denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

DMCG

EcConf

EC-Conf: An Ultra-fast Diffusion Model for Molecular conformation Generation with Equivariant Consistency

equiformer

[ICLR'23 Spotlight] Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs

equiformer_v2

[ICLR'24] EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

Mole-BERT-Forked

[ICLR 2023] "Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules"

tokengt

[NeurIPS'22] Tokenized Graph Transformer (TokenGT), in PyTorch

transformers-Forked

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

cryodrgn

Neural networks for cryo-EM reconstruction

e3nn

A modular framework for neural networks with Euclidean symmetry

GeoDiff

Implementation of GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation (ICLR 2022).

GeoLDM

Geometric Latent Diffusion Models for 3D Molecule Generation

latent-diffusion

High-Resolution Image Synthesis with Latent Diffusion Models

LDM-3DG

[ICLR 2024] "Latent 3D Graph Diffusion" by Yuning You, Ruida Zhou, Jiwoong Park, Haotian Xu, Chao Tian, Zhangyang Wang, Yang Shen

mace

MACE - Fast and accurate machine learning interatomic potentials with higher order equivariant message passing.

nequip

NequIP is a code for building E(3)-equivariant interatomic potentials

nerf

Code release for NeRF (Neural Radiance Fields)

nerf-pytorch

A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

QuinNet

QuinNet: Efficiently Incorporating Quintuple Interactions into Geometric Deep Learning Force Fields (NeurIPS 2023)

rich-xgk.github.io

Personal website

SAMMT

Code for EMNLP 2023 paper "Bridging the Gap between Synthetic and Authentic Images for Multimodal Machine Translation"

Uni-Mol

Official Repository for the Uni-Mol Series Methods