mijiasheng

mijiasheng's Stars

• josephmisiti/awesome-machine-learning

  A curated list of awesome Machine Learning frameworks, libraries and software.

  Language:Python66.3k3.3k8914.7k

• scikit-learn-contrib/imbalanced-learn

  A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

  Language:Python6.9k1426001.3k

• Parker-Lyu/TensorFLow-Learning

  B站上炼数成金的公开课笔记

  Language:Jupyter Notebook365123197

• MachineLP/PyTorch_image_classifier

  Image classification: efficientnet/resnest/seresnext/.....

  Language:Python251141174

• BuzzFeedNews/zika-data

  Data — and pointers to data — related to the 2015–16 Zika virus outbreak.

  Language:Python11227779

• phageParser/phageParser

  A project to extract CRISPR information from open genetic data.

  Language:Python1111413676

• MaayanLab/Zika-RNAseq-Pipeline

  An open RNA-Seq data analysis pipeline tutorial with an example of reprocessing data from a recent Zika virus study

  Language:Jupyter Notebook10222661

• muzixing/graph_algorithm

  Dijkstra, Floyd, Kruskal, Prim

  Language:Python983247

• nanxstats/protr

  🧬 Toolkit for generating various numerical features of protein sequences

  Language:R5263413

• wangz10/class_imbalance

  Jupyter Notebook presentation for class imbalance in binary classification

  Language:Jupyter Notebook503015

• chihsuan/search-engine

  A search-engine for document searching

  Language:Ruby487126

• mldataanalysis/Dealing-With-Imbalanced-Data

  Using Imblearn To Tackle Imbalanced Data Sets

  Language:Jupyter Notebook370024

• harusametime/RUSBoost

  Classifier of imbalanced data by boosting with random under sampling

  Language:Python284313

• liyihao17/KANN-DBSCAN

  I'm not the author, and just try to code it with python

  Language:Python281117

• Meena-Mani/SECOM_class_imbalance

  Approaches for the class imbalance problem (in semicondutor manufacturing process line data)

  Language:Jupyter Notebook223019

• linsalrob/PhageHosts

  This is the complete code base used in Robert A. Edwards, Katelyn McNair, Karoline Faust, Jeroen Raes, and Bas E. Dutilh (2015) Computational approaches to predict bacteriophage–host relationships. FEMS Microbiology Reviews doi: 10.1093/femsre/fuv048

  Language:Python16758

• pereirabarataap/dunn

  Performs a post hoc Dunn's test for stochastic dominance

  Language:Python8100

• rajanil/mkboost

  A machine learning approach to identify hosts of families of viruses.

  Language:Python7208

• hehuihui1994/emotion_classification_based_on_ensemble_of_multiple_classifiers

  基于多分类器集成的两步情绪分类策略

  Language:Python6205

• allmissing/JDD2018

  2018京东 人口动态普查与预测

  Language:Jupyter Notebook4202

• ChristineLP/fluleap

  Language:HTML210

• josemarialuna/smallDataIndex

  This package contains the code for executing clustering validity indices in Java by using K-means from Weka. The package includes the following clustering validity indices: Silhouette, Dunn, BD-Silhouette, BD-Dunn, Davies-Bouldin, Calinski-Harabasz, MaximumDiameter, SquaredDistance, AverageDistance, AverageBetweenClusterDistance, MinimumDistance.

  Language:Java2001

• flyfrommath/predicting-host-of-influenza-with-word-vector

  Language:Matlab10

• p-a-martins/7pred

  7pred - Protein Subcellular Localization Prediction (Human Proteins)

  Language:Python1