915 Open source projects that are alternatives of or similar to Awesome Transfer Learning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

A collection of AWESOME things about domian adaptation

Here is the official implementation of the model KD3A in paper "KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation".

[ICCV 2019 Oral] TA3N: https://github.com/cmhungsteve/TA3N (Most updated repo)

[ICLR-2020] Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification.

code for our ECCV 2020 paper "A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation"

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

Awesome Resources for Advanced Computer Vision Topics

A stable algorithm for GAN training

Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem

Pytorch implementation of four neural network based domain adaptation techniques: DeepCORAL, DDC, CDAN and CDAN+E. Evaluated on benchmark dataset Office31.

Library of transfer learners and domain-adaptive classifiers.

Adapt Transformer-based language models to new text domains

resource collection for transfer learning!

Implementation of many transfer learning algorithms in Python with Jupyter notebooks

IJCAI2020 & IJCV 2020 🌇 Unsupervised Scene Adaptation with Memory Regularization in vivo

( CVPR2019 Oral ) Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation

Python toolbox for transfer learning.

ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation (CVPR20)

Awesome Graph Self-Supervised Learning

A simple implementation of Deep Domain Confusion: Maximizing for Domain Invariance

Deep Transfer Learning Papers

Central Moment Discrepancy for Domain-Invariant Representation Learning (ICLR 2017, keras)

A place to keep track of all the annotated papers.

A comprehensive list of awesome contrastive self-supervised learning papers.

code for our TPAMI 2021 paper "Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer"

Learning to Cluster. A deep clustering strategy.

Video Representation Learning by Recognizing Temporal Transformations. In ECCV, 2020.

Repository to track the progress in Meta-Learning (MtL), including the datasets and the current state-of-the-art for the most common MtL problems.

Awesome Multitask Learning Resources

NLP Paper

Transfer-Learning-Library

[ICML 2021] Break-It-Fix-It: Unsupervised Learning for Program Repair

和（he for objective-c） —— “信息熵减机系统”

《迁移学习简明手册》LaTex源码

code released for our ICML 2020 paper "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation"

Complete-Life-Cycle-of-a-Data-Science-Project

Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]

Awesome Domain Adaptation Python Toolbox

Weakly Supervised 3D Object Detection from Point Clouds (VS3D), ACM MM 2020

Cross-domain NER using cross-domain language modeling, code for ACL 2019 paper

Implementation of my paper "Real-time Document Localization in Natural Images by Recursive Application of a CNN."

Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.

Some of the ML and DL related reading materials, research papers that I've read

Minecraft psychic plugin for Paper

Code for the paper "Leveraging Procedural Generation to Benchmark Reinforcement Learning"

Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)

🦄 State-of-the-Art Conversational AI with Transfer Learning

CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning

This repository intends to enable autonomous drone delivery with the Intel Aero RTF drone and PX4 autopilot. The code can be executed both on the real drone or simulated on a PC using Gazebo. Its core is a robot operating system (ROS) node, which communicates with the PX4 autopilot through mavros. It uses SVO 2.0 for visual odometry, WhyCon for visual marker localization and Ewok for trajectoy planning with collision avoidance.

Minecraft server optimization guide

ACM-ICPC-resource chinese

Python Framework for Extractive Text Summarization

Code for CVPR 2020 paper "Deep Local Parametric Filters for Image Enhancement"

Quantize weights and activations in Recurrent Neural Networks.

MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification

Code for unsupervised aspect extraction, using Keras and its Backends

Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds (CVPR 2020)

Natural Language Processing Tutorial for Deep Learning Researchers

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)