Chang Liu's repositories
AdaptSegNet
Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)
awesome-deep-learning-papers
The most cited deep learning papers
CLAN
( CVPR2019 Oral ) Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation
CloserLookFewShot
source code to ICLR'19, 'A Closer Look at Few-shot Classification'
CS231n-2017-Summary
After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to know about it. I've skipped some contents in some lectures as it wasn't important to me.
Deep-Learning-Coursera
Deep Learning Specialization by Andrew Ng, deeplearning.ai.
deepcluster
Deep Clustering for Unsupervised Learning of Visual Features
DTA.pytorch
Official implementation of Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation, to be presented at ICCV 2019.
examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
fast-rcnn
Fast R-CNN
FINCH-Clustering
Source Code for FINCH Clustering Algorithm
gt-nlp-class
Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"
hypersearch
Hyerparameter Optimization for PyTorch
MaxSquareLoss
Code for "Domain Adaptation for Semantic Segmentation with Maximum Squares Loss" in PyTorch.
MEDM
Minimal-Entropy Diversity Maximization for Unsupervised Domain Adaptation
ML-Open-Source-Implementations
A repo of open source implementations of machine learning papers
MM-SADA-code
Repository to contain the code for the CVPR 2020 publication: Multi-Modal Domain Adaptation for Fine-Grained Action Recognition
Non-local_pytorch
Implementation of Non-local Block.
ORB_SLAM2
Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
README
README文件语法解读，即Github Flavored Markdown语法介绍