zk403's Stars
PKU-TANGENT/nlp-tutorial
NLP新手入门教程
ShichenXie/scorecardpy
Scorecard Development in python, 评分卡
ZhiningLiu1998/self-paced-ensemble
[ICDE'20] ⚖️ A general, efficient ensemble framework for imbalanced classification. | 泛用,高效,鲁棒的类别不平衡学习框架
jrzaurin/LightGBM-with-Focal-Loss
An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems
apache/mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
360digitech/GBST
GBST is an optimized distributed gradient boosting survival trees library that is implemented based on the XGBoost
cran/glmnet
:exclamation: This is a read-only mirror of the CRAN R package repository. glmnet — Lasso and Elastic-Net Regularized Generalized Linear Models. Homepage: https://glmnet.stanford.edu
parrt/dtreeviz
A python library for decision tree visualization and model interpretation.
tommyod/Efficient-Apriori
An efficient Python implementation of the Apriori algorithm.
jrfiedler/causal_inference_python_code
Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
uber/causalml
Uplift modeling and causal inference with machine learning algorithms
blue-yonder/tsfresh
Automatic extraction of relevant features from time series:
alteryx/featuretools
An open source python library for automated feature engineering
raphaelvallat/pingouin
Statistical package in Python based on Pandas
danielhomola/mifs
Parallelized Mutual Information based Feature Selection module.
scikit-learn-contrib/metric-learn
Metric learning algorithms in Python
LocalCascadeEnsemble/LCE
Random Forest or XGBoost? It is Time to Explore LCE
guofei9987/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)
ThomasBury/arfs
All Relevant Feature Selection
stefmolin/Hands-On-Data-Analysis-with-Pandas
Materials for following along with Hands-On Data Analysis with Pandas.
Ekeany/Boruta-Shap
A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
scikit-learn-contrib/boruta_py
Python implementations of the Boruta all-relevant feature selection method.
scikit-learn-contrib/hdbscan
A high performance implementation of HDBSCAN clustering.
scikit-learn-contrib/MAPIE
A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.
INTERMT/Awesome-PyTorch-Chinese
【干货】史上最全的PyTorch学习资源汇总
marcotcr/lime
Lime: Explaining the predictions of any machine learning classifier
guillermo-navas-palencia/optbinning
Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual explanations.
nalepae/pandarallel
A simple and efficient tool to parallelize Pandas operations on all available CPUs
automl/auto-sklearn
Automated Machine Learning with scikit-learn
reiinakano/scikit-plot
An intuitive library to add plotting functionality to scikit-learn objects.