443 Open source projects that are alternatives of or similar to Deep Transfer Learning

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

Implementation of many transfer learning algorithms in Python with Jupyter notebooks

A collection of AWESOME things about domian adaptation

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

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.

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

Library of transfer learners and domain-adaptive classifiers.

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

Python toolbox for transfer learning.

《迁移学习简明手册》LaTex源码

resource collection for transfer learning!

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

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

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

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

Transfer-Learning-Library

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

Adapt Transformer-based language models to new text domains

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

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

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

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

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

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

Awesome Domain Adaptation Python Toolbox

Awesome Multitask Learning Resources

Transfer Learning Toolkit for Primary Researchers

POT : Python Optimal Transport

Deepfakes Video classification via CNN, LSTM, C3D and triplets

🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy

tensorflow deep RL for driving a rover around

Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。

Cool vision, learning, and graphics papers on Cats!

🍬Some papers & books I’ve read.

Paper collection of Neural Text Generation

A Zotero plugin to make Todoist tasks for papers added to Zotero

Skin cancer classification using Inceptionv3

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

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

Automatic feature extraction and node role assignment for transfer learning on graphs (ReFeX & RolX)

Publications from the MathJax project

Keras implementation of BERT with pre-trained weights

self-supervised domain adaptation

A resource repository for 3D machine learning

cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

Neural Paiters

This repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.

Official Pytorch implementation of CutMix regularizer

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

Conversational AI Reading Materials

😎 face releated algorithm, dataset and paper

视觉(语义) SLAM 相关研究跟踪

Notes and comments about Deep Reinforcement Learning papers

Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.

High Quality Monocular Depth Estimation via Transfer Learning

Repository of code for the tutorial on Transfer Learning in NLP held at NAACL 2019 in Minneapolis, MN, USA

Deep-learning seismic facies on state-of-the-art CNN architectures

The awesome and classic papers in recommendation system!!! Good luck to every RecSys-learner!

Recommended Papers. Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Learning (cs.LG)

国内首个迁移学习赛题 中国平安前海征信“好信杯”迁移学习大数据算法大赛 FInSight团队作品(算法方案排名第三)