Machine Learning Toolkit for Kubernetes

XGBoost 中文文档

Code samples for my book "Neural Networks and Deep Learning"

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow

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…

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

Sequential Matching Network implemented by MXNET

spark graphx learn demo

A TensorFlow implementation of Baidu's DeepSpeech architecture

A searchable compilation of Kaggle past solutions

1st place solution

Deep learning algorithms source code for beginners

OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version.

make a better chinese character recognition OCR than tesseract

Deep universal probabilistic programming with Python and PyTorch

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

MobileNet build with Tensorflow

PRML algorithms implemented in Python

A MXNet implementation of Mask R-CNN

open source driving agent

Python library for converting Scikit-Learn pipelines to PMML

A toolkit for controlling Euro Truck Simulator 2 with python to develop self-driving algorithms.

Explore how machine learning works, live in the browser. No coding required.

Convert PDF to HTML without losing text or format.

A Chinese Translation of Stanford CS229 notes 斯坦福机器学习CS229课程讲义的中文翻译

推荐系统

my simple tutorial for mxnet, a fast deep learning framework

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