transfer-learning

《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

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)。

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

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

一些关于机器学习的学习资料与研究介绍

🦄 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

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

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