《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases

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

Fast and Accurate ML in 3 Lines of Code

A collection of AWESOME things about domain adaptation

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥

A library for transfer learning by reusing parts of TensorFlow models.

The next generation deep reinforcement learning tookit

Collection of AWESOME vision-language models for vision tasks

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

《迁移学习简明手册》LaTex源码

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 BER

Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit

Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models

一些关于机器学习的学习资料与研究介绍

FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai

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

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

:house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.

jiant is an nlp toolkit

High Quality Monocular Depth Estimation via Transfer Learning

Measuring Massive Multitask Language Understanding | ICLR 2021

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

:dart: Task-oriented embedding tuning for BERT, CLIP, etc.

Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"

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

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

( TPAMI2022 / CVPR2019 Oral ) Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation