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Time-Series Anomaly Detection Comprehensive Benchmark

A self-tuning anomaly detection system to address the challenges of method selection and hyper-parameter tuning without access to a sufficient number of human supplied, ground truth labels.

Latex code for making neural networks diagrams

Methods and Implements of Deep Clustering

A machine learning toolkit for log-based anomaly detection [ISSRE'16]

Some Conferences' accepted paper lists (including AI, ML, Robotic)

PyTorch Tutorial for Deep Learning Researchers

Open Source ML Model Versioning, Metadata, and Experiment Management

Racket指南（中文翻译）

A curated list of awesome Deep Learning tutorials, projects and communities.

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

VIP cheatsheets for Stanford's CS 229 Machine Learning

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules

Implementation of benchmark RL algorithms

Simple Generative Adversarial Networks for MNIST data with Keras.

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"