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10-steps-to-become-a-data-scientist

📢 Ready to learn! you will learn 10 skills as data scientist:📚 Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.

awesome-imbalanced-learning

A curated list of awesome imbalanced learning papers, codes, frameworks and libraries. | 类别不平衡学习：论文/代码/框架/库

beautiful-visualization-with-python

python数据可视化之美

bioinfo-ptms-python

研究生期间研究生物信息学PTMs位点预测，这里存放研究生三年的学习笔记和代码文件，供大家参考学习，共同进步！学习笔记阅读地址：https://wugenqiang.github.io/BioInfo-PTMs-Python/

bioinformatics_code_by_shaoyutao

此代码由19级邵雨涛贡献

captor

cbam-keras

CBAM implementation on Keras

cbam-tensorflow

CBAM implementation on TensowFlow

chendasheng

陈达生硕士期间代码数据存放

classification-with-noisy-labels-by-importance-reweighting

TPAMI: Classification with noisy labels by importance reweighting.

co-teaching

NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。

deeplearning_models_classifier_tutorial

使用常见的CNN架构实现CIFAR分类。

deeprmethylsite

deepsucc

Open source codes and datasets for the DeepSucc algorithm

densenet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

distema

Prediction of the quality of single protein model using deep learning and residue-residue distance maps

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。

drug-drug-interaction-prediction

Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network

eanet

External Attention Network

easyscholar

一款浏览器插件，支持在各种论文网站显示会议、期刊等级。支持的排名有：西南财经大学swufe，**财经大学cufe，复旦大学fdu，上海交通大学sjtu，西南交通大学swjtu，对外经济贸易大学uibe，西安电子科技大学xdu，SCI，SCI影响因子，**科学引文数据库cscd，北大中文核心pku。支持的网站有：谷歌学术，微软学术，知网，Springer，IEEExplore，ACM，DBLP，web of science，百度学术，Aminer，readpaper

eat_pytorch_in_20_days

Pytorch🍊🍉 is delicious, just eat it! 😋😋

eat_tensorflow2_in_30_days

Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

emcbow-gpcr

A new method for Identifying GPCRs

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

feps_cfs

fraud_detection_techniques

identifying-protein-biomarkers-in-blood-for-alzheimer-s-disease

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.

ilearnplus

iLearnPlus is the first machine-learning platform with both graphical- and web-based user interface that enables the construction of automated machine-learning pipelines for computational analysis and predictions using nucleic acid and protein sequences.