机器学习/深度学习

Audio Steganalysis with Handcrafted Features Design (Statistical Machine Learning) Audio steganal...

Data Science Learning Repository of code, resources and utilities related to different data scien...

ML-React-App It's a template on which we can build a React app and call endpoints to make predict...

Workshop: Scientific Computing in Python Python is one of the most popular open source languages ...

RecSim: A Configurable Recommender Systems Simulation Platform RecSim is a configurable platform ...

omega|ml - DataOps & MLOps for humans with just a single line of code you can deploy machine lear...

Bayadera Adopt your pet function and become a patron. A Clojure Library for Bayesian Data Analysi...

TensorFlow.js TensorFlow.js is an open-source hardware-accelerated JavaScript library for trainin...

Pytorch Cheatsheet For more updated examples, see: Pytorch Kaggle Starter.

Preamble This repository contains the lecture slides and course description for the Deep Natural ...

Creating Machine Learning API using Flask Code accompanying the AnalyticsVidhya article NOTE: Thi...

BitcoinForecast Predict bitcoin value for the next 9minutes, with Recurrental Neural Network GRU....

coursera-machinelearning Stanford University - Machine Learning by Andrew Ng Coursera: Machine Le...

Shared Google Colaboratory Notebooks A Repo to store the Google Colaboratory Notebooks that I hav...

Guildsman Resignation As of July 6, 2018, I'm resigning from my work on Guildsman. While I have m...

My Solution to Assignments of Machine-Learning on Coursera This is my solution to the assignments...

Labs for Training and Serving TensorFlow Models with Kubernetes and Kubeflow on Azure Container S...

Google's 43 Rules of Machine Learning Github mirror of M. Zinkevich's great "Rules of Machine Lea...

CanlabCore This repository contains core tools for MRI/fMRI/PET analysis from the Cognitive and A...

Machine-learning-in-action 个人使用jupyter notebook整理的peter的《机器学习实战》代码，使其更有层次感，更加连贯，也根据自己的代码习惯，加了一些自己...