AndersJing's Stars
xingshaocheng/architect-awesome
后端架构师技术图谱
facebookresearch/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
dmlc/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
yangyangwithgnu/use_vim_as_ide
use vim as IDE
XPixelGroup/BasicSR
Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.
guodongxiaren/README
README文件语法解读,即Github Flavored Markdown语法介绍
MingchaoZhu/DeepLearning
Python for《Deep Learning》,该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
facebookresearch/esm
Evolutionary Scale Modeling (esm): Pretrained language models for proteins
ondras/my-mind
Online Mindmapping Software
fex-team/kityminder-editor
Powerful Mindmap Editing Tool
RosettaCommons/RoseTTAFold
This package contains deep learning models and related scripts for RoseTTAFold
yangkky/Machine-learning-for-proteins
Listing of papers about machine learning for proteins.
Peldom/papers_for_protein_design_using_DL
List of papers about Proteins Design using Deep Learning
agemagician/ProtTrans
ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit and hundreds of Google TPUs using Transformers Models.
aqlaboratory/proteinnet
Standardized data set for machine learning of protein structure
yangyutu/EssentialMath
noatpad/typora-theme-ursine
A Typora theme, inspired by Bear
soedinglab/hh-suite
Remote protein homology detection suite.
tatp22/linformer-pytorch
My take on a practical implementation of Linformer for Pytorch.
debbiemarkslab/EVcouplings
Evolutionary couplings from protein and RNA sequence alignments
tmpchem/computational_chemistry
Files used in TMP Chem videos on computational chemistry
ChatMol/ChatMol
ChatMol
lamoureux-lab/TorchProteinLibrary
PyTorch library of layers acting on protein representations
jonathanking/protein-transformer
Predicting protein structure through sequence modeling
soedinglab/CCMpred
Protein Residue-Residue Contacts from Correlated Mutations predicted quickly and accurately.
j3xugit/RaptorX-3DModeling
Note that current version does not include search of very large metagenome data. For some proteins, metagenome data is important. We will update this as soon as possible.
hiranumn/DeepAccNet
Pytorch/Python3 implementation of DeepAccNet, protein model accuracy evaluator.
j3xugit/RaptorX-Contact
Deep residual neural network for protein contact/distance prediction developed by Xu group
John-Jumper/Upside-MD
Coarse-grained molecular dynamics for protein physics
hiranumn/DeepAccNet-TF
Python/TF1 implementation of DeepAccNet (https://www.biorxiv.org/content/10.1101/2020.07.17.209643v1)