483 Open source projects that are alternatives of or similar to SHOT-plus

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

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

Meta Self-learning for Multi-Source Domain Adaptation： A Benchmark

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

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

Adapt Transformer-based language models to new text domains

Transfer-Learning-Library

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

Source code of our submission (Rank 1) for Multi-Source Domain Adaptation task in VisDA-2019

[CVPR 2020] Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation (PyTorch)

Code for the paper: "SimPLE: Similar Pseudo Label Exploitation for Semi-Supervised Classification"

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

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

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

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

Awesome Domain Adaptation Python Toolbox

Awesome Multitask Learning Resources

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

Library of transfer learners and domain-adaptive classifiers.

Federated Learning Library: https://fedml.ai

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

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

Python toolbox for transfer learning.

Awesome Graph Self-Supervised Learning

[CVPR21] Implementation of our work "Three Ways to Improve Semantic Segmentation with Self-Supervised Depth Estimation"

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

Learning to Cluster. A deep clustering strategy.

Official code for "Self-Supervised driven Consistency Training for Annotation Efficient Histopathology Image Analysis" Published in Medical Image Analysis (MedIA) Journal, Oct, 2021.

A collection of AWESOME things about domian adaptation

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

resource collection for transfer learning!

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

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

Deep Transfer Learning Papers

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

One Person, One Model, One World: Learning Continual User Representation without Forgetting

supervised and semi-supervised image classification with self-supervision (Keras)

Code for Paper ''Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning'' [ICCV 2019]

《迁移学习简明手册》LaTex源码

PyTorch implementation of EMAN for self-supervised and semi-supervised learning: https://arxiv.org/abs/2101.08482

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.

Implementation of many transfer learning algorithms in Python with Jupyter notebooks

Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling

(AAAI2020)Grapy-ML: Graph Pyramid Mutual Learning for Cross-dataset Human Parsing

Self-supervised Spatiotemporal Learning via Video Clip Order Prediction

[CVPR 2020 VL3] The repository for meta fine-tuning in cross-domain few-shot learning.

No description or website provided.

A library for graph deep learning research

Official project website for the CVPR 2021 paper "Exploring intermediate representation for monocular vehicle pose estimation"

Framework to learn Named Entity Recognition models without labelled data using weak supervision.

[NeurIPS2021 Poster] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

FPGA Deployable Fire Detection Model for Real-Time Video Surveillance Systems Using Convolutional Neural Networks

Open-source benchmark datasets and pretrained transformer models in the Filipino language.

Transfer learning algorithm TrAdaboost,coded by python

Attending to Discriminative Certainty for Domain Adaptation

Code for paper "Can contrastive learning avoid shortcut solutions?" NeurIPS 2021.

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

A set of deep learning models for FRB/RFI binary classification.

Implementation of our paper "DMT: Dynamic Mutual Training for Semi-Supervised Learning"

Whitening for Self-Supervised Representation Learning | Official repository