Repository Index

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

• deep-learning
• machine-learning
• book
• notebook

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.

• python
• machine-learning
• deep-learning
• data-science

Generate audiobooks from e-books, 50+ TTS engines with voice cloning and 1696 languages!

• audiobooks
• docker
• epub
• linux

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

• gbdt
• gbm
• machine-learning
• data-mining

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

• deeplearning
• cnn
• rnn
• gan

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

• pytorch
• unet
• pytorch-unet
• semantic-segmentation

Open Machine Learning Course

• machine-learning
• data-analysis
• data-science
• pandas

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

• machine-learning
• decision-trees
• gradient-boosting
• gbm

Kaggle Python docker image

MLBox is a powerful Automated Machine Learning python library.

• machine-learning
• auto-ml
• kaggle
• deep-learning

CatBoost tutorials repository

• catboost
• tutorials
• ipython-notebook
• ipython

Code for Kaggle EEG Detection competition