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modern-cpp-tutorial

📚 Modern C++ Tutorial: C++11/14/17/20 On the Fly | https://changkun.de/modern-cpp/

moment-matching-for-multi-source-domain-adaptation-m3sda

This code was finished when source code hasn't been released.

msda

Multiple Source Domain Adaptation with Adversarial Learning

mytinystl

Achieve a tiny STL in C++11

opencompounddomainadaptation-ocda

Pytorch implementation for "Open Compound Domain Adaptation" (CVPR 2020 ORAL)

openpose

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

openset-da

Code for 'Open Set Domain Adaptation by Backpropagation'

orb_slam2

Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

protobuf

Protocol Buffers - Google's data interchange format

prototypical-networks

Code for the NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

pytorch-adda

A PyTorch implementation for Adversarial Discriminative Domain Adaptation

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-grad-cam

PyTorch implementation of Grad-CAM

pytorch-vae

A Collection of Variational Autoencoders (VAE) in PyTorch.

pytorch-yolo-v1

an experiment for yolo-v1, including training and testing.

pytorch-yolo-v3

A PyTorch implementation of the YOLO v3 object detection algorithm

pytorch-yolov3

Minimal PyTorch implementation of YOLOv3

pytorch-yolov4

PyTorch ,ONNX and TensorRT implementation of YOLOv4

qt-opencv

OpenCV in Qt

qt-project

Qt adds libraries and header directories

resnest

ResNeSt: Split-Attention Network

san

Code release for "Partial Transfer Learning with Selective Adversarial Networks" (CVPR 2018)

shapematchinggan

[ICCV 2019, Oral] Controllable Artistic Text Style Transfer via Shape-Matching GAN

slambook

stylegan2

StyleGAN2 - Official TensorFlow Implementation

test

tt

tinytetris

80x23 terminal tetris!

transfer-learning-library

Transfer-Learning-Library

universal-domain-adaptation

Code release for Universal Domain Adaptation(CVPR 2019)

wae

Wasserstein Auto-Encoders