Pinned Repositories
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
DNABendNet
Ubiquinone-prediction
Ubiquinone prediction now available
JiangWenJie-stack's Repositories
JiangWenJie-stack/DNABendNet
JiangWenJie-stack/Ubiquinone-prediction
Ubiquinone prediction now available
JiangWenJie-stack/3Dpredictor
3DPredictor - a computational approch to predict spatial interactions of chromatin based on epigenetic data
JiangWenJie-stack/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, ... 🧠
JiangWenJie-stack/archetypal-analysis
Implementation of Archetypal Analysis algorithms
JiangWenJie-stack/ATAC-seq
JiangWenJie-stack/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
JiangWenJie-stack/bioinf525
ATAC-seq Pipline
JiangWenJie-stack/Bioinformation
JiangWenJie-stack/ChIP-seq-analysis
ChIP-seq analysis notes from Ming Tang
JiangWenJie-stack/COMPGI10-Protein-Classification
Repository of code for the COMPGI10 Bioinformatics coursework in 2017 at University College London
JiangWenJie-stack/CompModBiol
Seminar: Computational Models in Biology, School of Computer Science, IDC Herzliya, Spring 2019
JiangWenJie-stack/DeepHit
DeepHit: A Deep Learning Approach to Survival Analysis with Competing Risks
JiangWenJie-stack/deeplearning-notes
Notes for Deep Learning Specialization Courses led by Andrew Ng.
JiangWenJie-stack/DeepPurpose
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
JiangWenJie-stack/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。
JiangWenJie-stack/drugProtein
药物靶标预测
JiangWenJie-stack/google-health
JiangWenJie-stack/hickit
TAD calling, phase imputation, 3D modeling and more for diploid single-cell Hi-C (Dip-C) and general Hi-C
JiangWenJie-stack/histocartography
Histocartography is a framework bringing together AI and Digital Pathology
JiangWenJie-stack/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.
JiangWenJie-stack/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/JiangWenJie-stack.github.io
Know more about Hua-jun Liu lab at
JiangWenJie-stack/labml
🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱
JiangWenJie-stack/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
JiangWenJie-stack/nndl.github.io
《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning
JiangWenJie-stack/Python-100-Days
Python - 100天从新手到大师
JiangWenJie-stack/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）
JiangWenJie-stack/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