601 Open source projects that are alternatives of or similar to KD3A

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.)

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

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

Awesome Multitask Learning Resources

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

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

Implementation of many transfer learning algorithms in Python with Jupyter notebooks

和（he for objective-c） —— “信息熵减机系统”

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

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

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

Awesome Domain Adaptation Python Toolbox

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

《迁移学习简明手册》LaTex源码

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

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

Learning to Cluster. A deep clustering strategy.

A collection of AWESOME things about domian adaptation

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

Library of transfer learners and domain-adaptive classifiers.

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

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

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

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

resource collection for transfer learning!

Adapt Transformer-based language models to new text domains

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

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

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

Deep Transfer Learning Papers

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.

Transfer-Learning-Library

Python toolbox for transfer learning.

Awesome Graph Self-Supervised Learning

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

A simple implementation of K-means (and Bisecting K-means) clustering algorithm in Python

Tensorflow Implementation on Paper [BMVC2018]Deep Association Learning for Unsupervised Video Person Re-identification

Reference implementations of popular DL models missing from keras-applications & keras-contrib

Implementation of linear CorEx and temporal CorEx.

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

A PyTorch implementation for Adversarial Representation Learning for Domain Adaptation

Adversarial Adaptation with Distillation for BERT Unsupervised Domain Adaptation

Pytorch implementation of Deep Reconstruction Classification Networks

(Minimally) implements SimCLR (https://arxiv.org/abs/2002.05709) in TensorFlow 2.

Substra is a framework for traceable ML orchestration on decentralized sensitive data.

ADENINE: A Data ExploratioN PipelINE

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

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

Model-Contrastive Federated Learning (CVPR 2021)

Programming Assignments and Lectures for Andrew Ng's "Machine Learning" Coursera course

Code for paper "Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic Imagery", Ren et al., CVPR'18

Building a Neural Network that classifies faces using OpenCV and Tensorflow

PyTorch implementation of the NIPS 2017 paper - Unsupervised Learning of Disentangled Representations from Video

Inception V3 for Transfer Learning on Cats and Dogs

A curated list of all the Awesome --Topic Name-- lists I've found till date relevant to Data lifecycle, ML and DL.

[AAAI2021] Unsupervised Opinion Summarization with Content Planning

💻Speech and Natural Language Processing (SLP & NLP) Lab Assignments for ECE NTUA

Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)

[ECCV'20] Patch-match and Plane-regularization for Unsupervised Indoor Depth Estimation