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pytorch-tutorial

Build your neural network easy and fast

pytorch-value-iteration-networks

Pytorch implementation of Value Iteration Networks (NIPS 2016 best paper)

pytorch-weights_pruning

PyTorch Implementation of Weights Pruning

pyverilog

Python-based Hardware Design Processing Toolkit for Verilog HDL

qkeras

QKeras: a quantization deep learning library for Tensorflow Keras

quantizedneuralnetworks-keras-tensorflow

Quantized Neural Networks - networks trained for inference at arbitrary low precision.

rainbow

Rainbow: Combining Improvements in Deep Reinforcement Learning

really-awesome-gan

A list of papers on Generative Adversarial (Neural) Networks

realtimepathplanning

Sampling based rewiring approaches to solve motion planning problems for a robot with dynamic obstacles

reco-papers

Classic papers and resources on recommendation

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

reinforcement-learning-1

Minimal and Clean Reinforcement Learning Examples

reinforcement-learning-2

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

roadway_intel

Vehicle make and model classification in Tensorflow by fine-tuning VGG16

rsalgorithms

Some algorithms about traditional and social recommendation.

rspapers

Must-read papers on Recommender System.

sampling-based-path-planning-library

PRM, RRT, RRT*, Informed-RRT* Python impelmentations for 2-D with a simulator. Easily Extendable to N-Dimensions, but would require a N-Dimension collision detection library.

sentiment-2017-imavis

From Pixels to Sentiment: Fine-tuning CNNs for Visual Sentiment Prediction

sentiment_analysis_textcnn

基于tensorflow 实现的用textcnn方法做情感分析的项目，有数据，可以直接跑。

shadowrocket-adblock-rules

提供多款 Shadowrocket 规则，带广告过滤功能。用于 iOS 未越狱设备选择性地自动翻墙。

smaug

SMAUG: Simulating Machine Learning Applications Using Gem5-Aladdin

snn-simulator-nest_14.0-xilinx_fpga_cluster

A Spiking neural network simulator NEST base on FPGA‘s cluster（LIF NEURON）

soft-filter-pruning

Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks

spiking-neural-network

Pure python implementation of SNN

squeezenet

SqueezeNet: AlexNet-level accuracy with 50x fewer parameters

squeezenet-deep-compression

surprise

A Python scikit for building and analyzing recommender systems

taichi

Computer Graphics R&D Infrastructure