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awesome-cmake

A curated list of awesome CMake resources, scripts, modules, examples and others.

awesome-deep-vision

A curated list of deep learning resources for computer vision

awesome-emacs

A community driven list of useful Emacs packages, libraries and others.

awesome-knowledge-distillation

Awesome Knowledge Distillation

awesome-satellite-imagery-competitions

List of machine learning competitions for satellite imagery and remote sensing.

caffe

Caffe: a fast open framework for deep learning.

cnn-benchmarks

Benchmarks for popular CNN models

coin-or-optimizationsuite

A harness for building the bundled suite of interoperable optimization tools available in the COIN-OR repository.

dab-detr

[ICLR 2022] DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR

deeplearning

Deep Learning (Python, C/C++, Java, Scala, Go)

detectandtrack

The implementation of an algorithm presented in the CVPR18 paper: "Detect-and-Track: Efficient Pose Estimation in Videos"

docker-clion-dev

Debugging C++ in a Docker Container with CLion IDE

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

gmmcp_tracker

This repository contains the implementation of the GMMCP tracker published in CVPR2015

googletest

Automatically exported from code.google.com/p/googletest

imgaug

Image augmentation for machine learning experiments.

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

kcfcpp

C++ Implementation of KCF Tracker

knowledge-distillation-paper

This resposity maintains a series of papers on knowledge distillation.

learning-tensorflow-by-models

This is a project for engineers to learn model dnn as they need by tensorflow.

leetcode_practice

libadmm

A Library of ADMM for Sparse and Low-rank Optimization

lrslibrary

Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos

map

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

mcf

C++/Python library for multiple object tracking via min-cost flow algorithms

mcg

Multiscale Combinatorial Grouping - Object Proposals and Segmentation

mdp_tracking

Learning to Track: Online Multi-Object Tracking by Decision Making

mmdetection

Open MMLab Detection Toolbox and Benchmark

mmdetection-distiller

This is a knowledge distillation toolbox based on mmdetection.

mmtracking

OpenMMLab Video Perception Toolbox. It supports Single Object Tracking (SOT), Multiple Object Tracking (MOT), Video Object Detection (VID) with a unified framework.