IBelieve1234's Stars
zhaohe555/SESN
XiaShan1227/Graphormer
Do Transformers Really Perform Bad for Graph Representation? [NIPS-2021]
decodermu/GPD
Graphormer Based Protein Sequence Design
YoshitakaMo/localcolabfold
ColabFold on your local PC
LoveFishoO/AlphafoldInstallation
One-click use of AlphaFold
DeepGraphLearning/SiamDiff
Code for Pre-training Protein Encoder via Siamese Sequence-Structure Diffusion Trajectory Prediction (https://arxiv.org/abs/2301.12068)
Han00127/Protein-Representation-Learning-Reproduce
This is unofficial my reproduction of Protein Representation Learning by Geometric Structure Pretraining published at ICLR2023
GGchen1997/STEPS_Bioinformatics
flatironinstitute/DeepFRI
Deep functional residue identification
Wenjian-Ma/Struct2Go
lamm-mit/MateriomicTransformer
Generative Pretrained Autoregressive Transformer Graph Neural Network applied to the Analysis and Discovery of Materials
cedar997/graduation
毕业设计 蛋白质二级结构预测
FangjinhuaWang/PatchmatchNet
Official code of PatchmatchNet (CVPR 2021 Oral)
4uiiurz1/pytorch-deform-conv-v2
PyTorch implementation of Deformable ConvNets v2 (Modulated Deformable Convolution)
YoYo000/BlendedMVS
BlendedMVS: A Large-scale Dataset for Generalized Multi-view Stereo Networks
walsvid/Awesome-MVS
Awesome list of multi-view stereo papers
WZMIAOMIAO/deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
fengdu78/lihang-code
《统计学习方法》的代码实现
fujingnan/ml_algorithm
经典机器学习算法手写实现,持续更新……
zhulei227/ML_Notes
机器学习算法的公式推导以及numpy实现
shuhuai007/Machine-Learning-Session
electech6/openMVS_comments
open Multi-View Stereo reconstruction library
oreilly-japan/deep-learning-from-scratch
『ゼロから作る Deep Learning』(O'Reilly Japan, 2016)
oreilly-japan/deep-learning-from-scratch-2
『ゼロから作る Deep Learning ❷』(O'Reilly Japan, 2018)
oreilly-japan/deep-learning-from-scratch-3
『ゼロから作る Deep Learning ❸』(O'Reilly Japan, 2020)
KangCai/Machine-Learning-Algorithm
:star2:【Numpy 手写实现】SVM 支持向量机 | KNN K近邻 | Kmeans | Logistic Regression 逻辑回归 | Maximum Entropy 最大熵 | Naive Bayes 朴素贝叶斯 | Perception 感知机 | Decision Tree 决策树 | Random Forest 随机森林 | DBDT | GDA 高斯判别分析 | PCA 主成分分析 | LDA 线性判别分析
acidbubbles/vam-timeline
Advanced and intuitive keyframe animations for Virt-A-Mate
996icu/996.ICU
Repo for counting stars and contributing. Press F to pay respect to glorious developers.