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regl-cnn

Digit recognition with Convolutional Neural Networks in WebGL

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

rekcarc-tsc-uht

清华大学计算机系课程攻略 Guidance for courses in Department of Computer Science and Technology, Tsinghua University

researcher

A jekyll based resume template

resumecard

resumecards

[Unmaintained] A Markdown based resume generator. It looks great on mobile/desktop and can be saved as PDF.

rknputool

RKNPUTool

roadmap-of-dl-and-ml

Roadmap of DL and ML, some courses, study notes and paper summary

ron

RON: Reverse Connection with Objectness Prior Networks for Object Detection, CVPR 2017

sacred

Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

sbn

SVG by Numbers

scipy-lecture-notes

Tutorial material on the scientific Python ecosystem

screenity

The most powerful screen recorder & annotation tool for Chrome 🎥

scythe

Deep learning library based on the gcForest algorithm

sd_markdown

Single header version of the lovely sundown library for markdown

securitybiometrics

semantic-segmentation-pytorch

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

semanticsoftsegmentation

Spectral segmentation described in Aksoy et al., "Semantic Soft Segmentation", ACM TOG (Proc. SIGGRAPH), 2018

seq2seq

A general-purpose encoder-decoder framework for Tensorflow

sequence-diagram-html

CSS (plus convertors) for sequence diagrams

serialtool

Little helper functions to make serial port communication obvious

sf-zh

《软件基础》中文版

shenzhenmeetup.ml

shufflenet-v2-pytorch

Perfect implement. Model shared. x0.5 (Top1:60.646) and 1.0x (Top1:69.402).

shufflenet_v2_pytorch_caffe

ShuffleNet-V2 for both PyTorch and Caffe.

siamfc-tf

SiamFC tracking in TensorFlow.

siggraph18sss

SIGGRAPH2018, Semantic Soft Segmentation, http://people.inf.ethz.ch/aksoyy/sss/

signal-processing-plus-plus

simple-faster-rcnn-pytorch

A simplified implemention of Faster R-CNN with competitive performance