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3dpredictor

3DPredictor - a computational approch to predict spatial interactions of chromatin based on epigenetic data

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, ... 🧠

archetypal-analysis

Implementation of Archetypal Analysis algorithms

atac-seq

awesome-quantum-machine-learning

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

bioinf525

ATAC-seq Pipline

bioinformation

chip-seq-analysis

ChIP-seq analysis notes from Ming Tang

compgi10-protein-classification

Repository of code for the COMPGI10 Bioinformatics coursework in 2017 at University College London

compmodbiol

Seminar: Computational Models in Biology, School of Computer Science, IDC Herzliya, Spring 2019

deephit

DeepHit: A Deep Learning Approach to Survival Analysis with Competing Risks

deeplearning-notes

Notes for Deep Learning Specialization Courses led by Andrew Ng.

deeppurpose

A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

dnabendnet

drugprotein

药物靶标预测

google-health

hickit

TAD calling, phase imputation, 3D modeling and more for diploid single-cell Hi-C (Dip-C) and general Hi-C

histocartography

Histocartography is a framework bringing together AI and Digital Pathology

ifeature

iFeature is a comprehensive Python-based toolkit for generating various numerical feature representation schemes from protein or peptide sequences. iFeature is capable of calculating and extracting a wide spectrum of 18 major sequence encoding schemes that encompass 53 different types of feature descriptors. Furthermore, iFeature also integrates five kinds of frequently used feature clustering algorithms, four feature selection algorithms and three dimensionality reduction algorithms.

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.

jiangwenjie-stack.github.io

Know more about Hua-jun Liu lab at

labml

🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

nlp_ability

总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力

nndl.github.io

《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

python-100-days

Python - 100天从新手到大师

scikit-opt

Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman) in Python（遗传算法、粒子群算法、模拟退火算法、蚁群算法、免疫优化算法、鱼群算法）

top-ai-conferences-paper-with-code

MLNLP: This repository is a collection of AI top conferences papers (e.g. ACL, EMNLP, NAACL, COLING, AAAI, IJCAI, ICLR, NeurIPS, and ICML) with open resource code

ubiquinone-prediction

Ubiquinone prediction now available