livey

scalable_maddpg

scalable multi agents reinforcement learning

GAMP_SBL

Computationally Efficient Sparse Bayesian Learning via Generalized Approximate Message Passing

svm-embed

Support Vector Machine for Embedded System

R1BCS

Robust one bit Bayesian Compressive Sensing with Sign Flip Errors

Learning-based-Power-Allocation-Strategy-in-Small-Cell-Network

Learning-based Power Allocation Strategy in Small Cell Network

machine-learning-checklist

resources for machine learning related algorithms and concepts

Support-Aided-Sparse-Bayesian-Learning

support aided sparse bayesian learning

Harvard-Statistics110-Notes

This is for Harvard Statistics 110 Study online notes.

Smart-Freescale-Car

The is a camera based patrol line car for the 2010 Smart Freescale Car Cup contest.

DeepLearningBook

MIT Deep Learning Book in PDF format

maddpg

Implementation of Multi-Agent Deep Deterministic Policy Gradients

raspberrypi_telegram_surveillance

reinforcement-learning

Some MatLab codes for regenerating figures in the reinforcement learning book

scalable_maddpg_clever_prey

scalable multi-agent reinforcement learning

DavisSML

DDAD

Dense Depth for Autonomous Driving (DDAD) dataset.

DDPG

Reimplementation of DDPG(Continuous Control with Deep Reinforcement Learning) based on OpenAI Gym + Tensorflow

ddpg-1

Implementation of Deep Deterministic Policy Gradients using TensorFlow and OpenAI Gym

deep-rl

Collection of Deep Reinforcement Learning algorithms

DeepLearning-500-questions

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

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

improved_wgan_training

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

pytorch-maddpg

A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)

scikit-feature

open-source feature selection repository in python (DMML Lab@ASU)

stanford_dl_ex

Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial

Tensorflow2.0

学习笔记代码

tensorflow_tutorials

From the basics to slightly more interesting applications of Tensorflow

wasserstein-notebook

Wasserstein / earth mover's distance visualizations