Lanselott

R-HSD

(DAC2019 / TCAD2020) Faster Region-based Hotspot Detection.

Detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

.tmux

Oh My Tmux! My pretty + versatile tmux configuration that just works (imho the best tmux configuration)

awesome-math

A curated list of awesome mathematics resources

Bash-Cookbook

Bash Cookbook, published by Packt

caffe

Caffe: a fast open framework for deep learning.

caffe-1

Caffe for Sparse and Low-rank Deep Neural Networks

caffe_mpi

A fork of Caffe with OpenMPI-based Multi-GPU (mainly data parallel) support for action recognition and more. More documentation please see the original readme.

CAM

Class Activation Mapping

Computer_vision_project

TODO

CPM

Coarse-to-fine PatchMatch for dense correspondence

CSCI4140-Spring-Assignment1-example

deeplearningbook-chinese

Deep Learning Book Chinese Translation

flownet2

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

FM_caffe

IERG4210_2017

incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

iSmartDNN

Light-weighted neural network inference for object detection on small-scale FPGA board

Lanselott

homepage

LayoutGAN

A reproducing for article LayoutGAN: Generating Graphic Layouts with Wireframe Discriminators.

learnopencv

Learn OpenCV : C++ and Python Examples

MachineLearning

notes

Shichao's Notes

python-cgi-example

A simple server and hit counter entirely in Python designed to demonstrate how to write CGI scripts.

pytorch-semantic-segmentation

PyTorch for Semantic Segmentation

rectirization

A polygon to rectangle conversion tool

second.pytorch

SECOND for KITTI/NuScenes object detection

ssd.pytorch

A PyTorch Implementation of Single Shot MultiBox Detector

To-be-a-researcher

A list of advice on doing research that is useful for me :)

webvision-2.0-benchmarks

Benchmarking image classification models for Webvision Dataset: training from 16 million noisy images from the web.