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Keyang Zhou's Projects

activestereonet icon activestereonet

(Not Finished) Based on the paper: ActiveStereoNet: End-to-End Self-Supervised Learning for Active Stereo Systems

awesome-object-detection icon awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

fcn-using-rgb icon fcn-using-rgb

self-learned by online resorces such as CSDN/GitHub/StackOverflow/...

gobang-ai icon gobang-ai

A simple AI for Gobang chess, still need more improvements.

gobrickspart-api icon gobrickspart-api

API and conversion table of Gobricks vs. LEGO part ID numbers using gobricks backend API

java-interview icon java-interview

经历BAT面试后总结的【高级Java后台开发面试指南】,纯净干货无废话,针对高频面试点

just-code icon just-code

Just Code ! 针对面试训练算法题, 目前包括字节跳动面试题、 LeetCode 和剑指 offer ,持续扩容中 :star:

map icon map

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

padenet icon padenet

code for 'An Effective and Robust Panoramic Monocular Depth Estimation Method for Outdoor Scenes'

py-faster-rcnn icon py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

pytorch-ssd icon pytorch-ssd

MobileNetV1, MobileNetV2, VGG based SSD/SSD-lite implementation in Pytorch 1.0 / Pytorch 0.4. Out-of-box support for retraining on Open Images dataset. ONNX and Caffe2 support. Experiment Ideas like CoordConv.

sparse-to-dense-depth icon sparse-to-dense-depth

Reference: Fangchang Ma, Sertac Karaman. Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image[R]. arXiv preprint arXiv:1709.07492

t-cnn icon t-cnn

ImageNet 2015 Object Detection from Video (VID)

torch2trt icon torch2trt

An easy to use PyTorch to TensorRT converter

vim-monokai icon vim-monokai

Monokai color scheme for Vim converted from Textmate theme

vimrc icon vimrc

The ultimate Vim configuration: vimrc

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