dimahwang88 Goto Github PK

awesome-bits

:computer: A curated list of awesome bitwise operations and tricks

awesome-cs-books

:books: Awesome CS Books/Series(.pdf by git lfs) Warehouse for Geeks, ProgrammingLanguage, SoftwareEngineering, Web, AI, ServerSideApplication, Infrastructure, FE etc. :dizzy: 优秀计算机科学与技术领域相关的书籍归档

awesome-footy

A bundle of Computer Vision / Deep Learning papers with code implementations applied to football data analysis.

awesome-person-re-identification

Awesome Person Re-Identification

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

bepro_pjt

video texture mapping

bgslibrary

A background subtraction library

brew

🍺 The missing package manager for macOS

captcha_recognize

Image Recognition captcha without image segmentation 无需图片分割的验证码识别

cascadercnn-train-gcp

centertrack

Simultaneous object detection and tracking using center points.

colorconsistency

Global optimization on the color consistency across multiple images. /C++/

concurrentqueue

A fast multi-producer, multi-consumer lock-free concurrent queue for C++11

convolutional-network

A convolutional neural network from scratch

cppcoreguidelines

The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++

cracking-coding-interview

cvpr2021-papers-with-code

CVPR 2021 论文和开源项目合集

data-science-ebooks

This repository contains resources in the form of ebooks, which are related to Data Science, Machine Learning, and similar topics.

data-science-resources

deep-learning-all

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep-person-reid

Torchreid: Deep learning person re-identification in PyTorch.

deep_homography_estimation

This project implements the 2016 paper Deep Image Homography Estimation by DeTone, Malisiewicz, and Rabinovich.

deft

Joint detection and tracking model named DEFT, or ``Detection Embeddings for Tracking." Our approach relies on an appearance-based object matching network jointly-learned with an underlying object detection network. An LSTM is also added to capture motion constraints.

design-patterns-for-humans

Design Patterns for Humans™ - An ultra-simplified explanation

detect-track

Code release for "Detect to Track and Track to Detect", ICCV 2017

dimahwang.github.io

dimahwang88.github.io

dlib-mrcnn-tracking