Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
-
Updated
May 22, 2024 - Python
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
《李宏毅深度学习教程》(李宏毅老师推荐👍),PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases
A library for transfer learning by reusing parts of TensorFlow models.
A collection of AWESOME things about domian adaptation
Fast and Accurate ML in 3 Lines of Code
The next generation deep reinforcement learning tookit
🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥
TensorFlow 101: Introduction to Deep Learning
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
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
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.
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
🦄 State-of-the-Art Conversational AI with Transfer Learning
Train a state-of-the-art yolov3 object detector from scratch!
High Quality Monocular Depth Estimation via Transfer Learning
Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。
FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai
Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
Add a description, image, and links to the transfer-learning topic page so that developers can more easily learn about it.
To associate your repository with the transfer-learning topic, visit your repo's landing page and select "manage topics."