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imbalanced-learn

Python module to perform under sampling and over sampling with various techniques.

imgaug

Image augmentation for machine learning experiments.

jupyters_and_slides

keras-blog

Blog with Keras news, tutorials, and demos.

keras-resources

Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library

learngit

推送请注意：请使用UTF-8编码，只接受能被自动Merge的Pull Request

learning-pyspark

Code repository for Learning PySpark by Packt

learningpyspark

Code base for the Learning PySpark book (in preparation)

leeml-notes

李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes

leetcode

leetcode solution

leetcode-1

Greatness from Basis comes

leetcode-2

No voice but big deal.

lightgbm

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

lime

Lime: Explaining the predictions of any machine learning classifier

lime_water

Automatic and Interpretable Machine Learning with H2O and LIME

mab

Pydata MAB Tutorial

manifold_learning

Worked examples about manifold learning using sklearn and jupyter

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

metaops

Tuning the Parameters of Heuristic Optimizers (Meta-Optimization / Hyper-Parameter Optimization)

mifs

Parallelized Mutual Information based Feature Selection module.

mini

黄金海盗船mini项目

mlatimperial2017

Materials for the course of machine learning at Imperial College organized by Yandex SDA

mlatimperial2018

ML at Imperial College

mli-resources

Machine Learning Interpretability Resources

mlxtend

A library of extension and helper modules for Python's data analysis and machine learning libraries.

models

Models and examples built with TensorFlow

nb_conda_kernels

Package for managing conda environment-based kernels inside of Jupyter

nearpy

Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different locality-sensitive hashes.

nlp_course

YSDA course in Natural Language Processing

nndl-codes

Sample Codes for NNDL