riddleyefei Goto Github PK
Type: User
riddleyefei's Projects
ailearning
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
autoencoder
个人练习，自编码器及其变形（理论+实践）
bmdca
Fork of matteofigliuzzi/bmDCA repository for Boltzmann-machine Direct Coupling Analysis (bmDCA).
deeplearning_ai_books
deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）
dig
A library for graph deep learning research
feature-viewer
Library to visualize protein sequence features in javascript using D3 - From SIB CALIPHO group; neXtProt project
ilearn
iLearn, a Python Toolkit and Web Server Integrating the Functionality of Feature Calculation, Extraction, Clustering, Feature Selection, Feature Normalization, Dimension Reduction and Model Construction for Classification, Best Model Selection, Ensemble Learning and Result Visualization for DNA, RNA and Protein Sequences.
imbalanced-dataset-sampler
A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.
machine-learning-for-proteins
Listing of papers about machine learning for proteins.
protein-transformer
Predicting protein structure through sequence modeling
proteingcn
ProteinGCN: Protein model quality assessment using Graph Convolutional Networks
python
All Algorithms implemented in Python
python-100-days
Python - 100天从新手到大师
python-machine-learning-book-3rd-edition
The "Python Machine Learning (3rd edition)" book code repository
pytorch-handbook
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
pytorch-vae
A Collection of Variational Autoencoders (VAE) in PyTorch.
pytorch1.0-cn
PyTorch 1.0 官方文档 中文版，欢迎关注微信公众号：磐创AI
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.
rnn-classifier
Minimal RNN classifier with self-attention in Pytorch
shap
A game theoretic approach to explain the output of any machine learning model.
torch-cam
Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM)
vae_protein_function
Protein function prediction using a variational autoencoder
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