Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
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Updated
Dec 20, 2022 - Python
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data
A collection of AWESOME things about domian adaptation
A library for transfer learning by reusing parts of TensorFlow models.
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.
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
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 …
FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai
The next generation deep reinforcement learning tookit
Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
jiant is an nlp toolkit
Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.
High Quality Monocular Depth Estimation via Transfer Learning
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