rich-xgk Goto Github PK
Name: Guikun Xu
Type: User
Bio: Southwest Jiaotong University
Location: Chengdu, Sichuan
Blog: homepage.richxu.online
Name: Guikun Xu
Type: User
Bio: Southwest Jiaotong University
Location: Chengdu, Sichuan
Blog: homepage.richxu.online
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Huggingface Transformers + Adapters = โค๏ธ
A beautiful, simple, clean, and responsive Jekyll theme for academics
๐งโ๐ซ 60 Implementations/tutorials of deep learning papers with side-by-side notes ๐; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), ๐ฎ reinforcement learning (ppo, dqn), capsnet, distillation, ... ๐ง
:page_facing_up: Awesome CV is LaTeX template for your outstanding job application
Implementation of Learning Gradient Fields for Molecular Conformation Generation (ICML 2021).
A Toolkit for OpenAI's Consistency Models.
A mini-library for training consistency models.
Neural networks for cryo-EM reconstruction
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
[ICLR 2024 Oral] Generative Gaussian Splatting for Efficient 3D Content Creation
A modular framework for neural networks with Euclidean symmetry
EC-Conf: An Ultra-fast Diffusion Model for Molecular conformation Generation with Equivariant Consistency
[ICLR'23 Spotlight] Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs
[ICLR'24] EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Implementation of GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation (ICLR 2022).
Geometric Latent Diffusion Models for 3D Molecule Generation
Implementation of GTMGC: Using Graph Transformer to Predict Moleculeโs Ground-State Conformation (ICLR2024 Spotlight).
High-Resolution Image Synthesis with Latent Diffusion Models
[ICLR 2024] "Latent 3D Graph Diffusion" by Yuning You, Ruida Zhou, Jiwoong Park, Haotian Xu, Chao Tian, Zhangyang Wang, Yang Shen
MACE - Fast and accurate machine learning interatomic potentials with higher order equivariant message passing.
[ICLR 2023] "Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules"
NequIP is a code for building E(3)-equivariant interatomic potentials
Code release for NeRF (Neural Radiance Fields)
A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.
QuinNet: Efficiently Incorporating Quintuple Interactions into Geometric Deep Learning Force Fields (NeurIPS 2023)
Personal website
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.