A Python-embedded modeling language for convex optimization problems.

Differentiable convex optimization layers

Code repository for the Animal AI Olympics competition

中文整理的强化学习资料（Reinforcement Learning）

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

AutoGBT is used for AutoML in a lifelong machine learning setting to classify large volume high cardinality data streams under concept-drift. AutoGBT was developed by a joint team ('autodidact.ai')…

neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support

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

西电睿思手机客户端[iOS]适用于discuz论坛

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

LR、FM model solved by ftrl and sgd parallel on MPI

update the libffm-1.13. Add FTRL and linear

A Library for Field-aware Factorization Machines

2017年买房经历总结出来的买房购房知识分享给大家，希望对大家有所帮助。买房不易，且买且珍惜。Sharing the knowledge of buy an own house that according to the experience at hangzhou in 2017 to all the people. It's not easy to buy a own house, so…

Python Implementation of Reinforcement Learning: An Introduction

A feedback controller for stabilizing RTB performance to a target value.

A benchmarking framework supporting the experiments in KDD'14 paper "Optimal Real-Time Bidding for Display Advertising"

A framework of statistical arbitrage mining in performance-driven display advertising.

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

Papers on Computational Advertising

A collection of infrastructure and tools for research in neural network interpretability.

Publicly released tools/plugins from PPP for DEFCON 25 CTF Finals

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

Implementation of C-RNN-GAN.

An Open Source Machine Learning Framework for Everyone

🍀 Lean & mean spacemacs-ish Vim distribution

A collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.

Microsoft Graph Engine

WTTE-RNN a framework for churn and time to event prediction