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

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

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).

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

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

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

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

jiant is an nlp toolkit

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

🎯 Task-oriented embedding tuning for BERT, CLIP, etc.

✂️ Automated high-quality background removal framework for an image using neural networks. ✂️

Measuring Massive Multitask Language Understanding | ICLR 2021

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

Official Pytorch implementation of CutMix regularizer

Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™