Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

Interactive deep learning book with code, math, and discussions. Available in multi-frameworks.

Interview = 简历指南 + LeetCode + Kaggle

深度学习入门教程, 优秀文章, Deep Learning Tutorial

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

免费学代码系列：小白python入门、数据分析data analyst、机器学习machine learning、深度学习deep learning、kaggle实战

1st Place Solution for CrowdFlower Product Search Results Relevance Competition on Kaggle.

1st place solution

数据科学竞赛各种baseline代码、思路分享

A searchable compilation of Kaggle past solutions

A community run, 5-day PyTorch Deep Learning Bootcamp

MLBox is a powerful Automated Machine Learning python library.

PyTorch extensions for fast R&D prototyping and Kaggle farming

Kaggle：Quora Question Pairs, 4th/3396 (https://www.kaggle.com/c/quora-question-pairs)

HungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict!

Code for Kaggle Data Science Competitions

深度学习在推荐系统中的应用及论文小结。

Kaggle datascience bowl 2017

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

猫狗大战

Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).

CatBoost tutorials repository

3rd Place Solution for HomeDepot Product Search Results Relevance Competition on Kaggle.

Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras

The First Place Solution of Kaggle iMaterialist (Fashion) 2019 at FGVC6

[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml