Peng Li's repositories
annotated_deep_learning_paper_implementations
🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
BayesianDeepLearning-Survey
Bayesian Deep Learning: A Survey
causal-learn
Causal Discovery for Python. Translation and extension of the Tetrad Java code.
DeepPurpose
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
Direct-target-prediction
A simple model used for predicting drug-direct target interactions
DLEPS
A Deep Learning based Efficacy Prediction System for drug discovery
DrugMAN
DrugMAN: a model framework for drug-target interaction prediction by integrating heterogeneous information with mutual attention network
External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
FirstNLP
Try NLP with me.
Generalization-Causality
关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记
graph4nlp
Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html) for various learning resources!
GSEA_R
Updated implementation of the GSEA-P R application for modern R distributions
hello-world
just a repository
hosts
镜像：https://scaffrey.coding.net/p/hosts/git / https://git.qvq.network/googlehosts/hosts
HumanDiseaseOntology
Repository for the Human Disease Ontology.
openfold
Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
prose
Multi-task and masked language model-based protein sequence embedding models.
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
Build your neural network easy and fast, 莫烦Python中文教学
RandomWalkRestartMH
A package to perform Random Walk with Restart on different types of networks
shiny
Easy interactive web applications with R
shiny-server
Host Shiny applications over the web.
SymptomOntology
The symptom ontology was designed around the guiding concept of a symptom being: “A perceived change in function, sensation or appearance reported by a patient indicative of a disease”. Understanding the close relationship of Signs and Symptoms, where Signs are the objective observation of an illness, the Symptom Ontology will work to broaden it’s scope to capture and document in a more robust manor these two sets of terms. Understanding that at times, the same term may be both a Sign and a Symptom. The Symptom Ontology is available under CC0 license (https://creativecommons.org/publicdomain/zero/1.0/).
tetrad
Repository for the Tetrad Project, www.phil.cmu.edu/tetrad.
TranscriptionNet
TranscriptionNet is an attention-based deep learning algorithm that integrates various large-scale gene function network information to predict changes in induced gene expression (GECs) by perturbing each gene in the genome.