deasonyuan Goto Github PK

ai-edu

AI education materials for Chinese students, teachers and IT professionals.

alpharefine

Official implementation for Alpha-Refine

arcf-tracker

Code of ARCF-Tracker v1.0 (Matlab Version for Discussion)

asct

Matlab code for Visual object tracking with adaptive structural convolutional network

awesome-active-learning

A list of active learning methods for deep learning.

awesome-active-learning-1

Awesome Active Learning Paper List

awesome-active-learning-2

A curated list of awesome Active Learning

awesome-domain-adaptation

A collection of AWESOME things about domian adaptation

awesome-multi-task-learning

A collection of awesome resources in multi-task learning

awesome-object-detection

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

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

awesome-tiny-object-detection

A curated list of Tiny Object Detection papers and related resources.

awesome_underwater_datasets

Pointers to large-scale underwater datasets and relevant resources.

awpcn

The python code for Adaptive Weight Part-based Convolutional Network for Person Re-Identification

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

birdsai

Code to help use the BIRDSAI dataset (https://sites.google.com/view/elizabethbondi/dataset).

cf-vgg

cfml

Matlab code for Robust visual tracking with correlation filters and metric learning

cmdtirtracking

Unsupervised Cross-Modal Distillation for Thermal Infrared Tracking (ACM MM 2021)

cnn-explainer

Learning Convolutional Neural Networks with Interactive Visualization. https://poloclub.github.io/cnn-explainer/

comparison

Compare performances of algorithms on Objcet Tracking Benchmarks (SOT/MOT...)

contrastcorr

coursera-ml-andrewng-notes

cyclesiam

The official implementation code for CycleSiam

d2l-en

Interactive deep learning book with code, math, and discussions. Available in multi-frameworks.

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

datasets-and-benchmark-code

deep-learning-with-pytorch-quick-start-guide

Deep Learning with PyTorch Quick Start Guide, published by Packt

deep-learning-with-tensorflow-book

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments