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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

confgf

Implementation of Learning Gradient Fields for Molecular Conformation Generation (ICML 2021).

consistency-models

A Toolkit for OpenAI's Consistency Models.

consistency_models

A mini-library for training consistency models.

cryodrgn

Neural networks for cryo-EM reconstruction

denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

dmcg

e3nn

A modular framework for neural networks with Euclidean symmetry

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

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

geodiff

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

geoldm

Geometric Latent Diffusion Models for 3D Molecule Generation

gtmgc

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

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.

mole-bert-forked

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

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.

nvim

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"