transfer-learning

#大语言模型#《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

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

#自然语言处理#Fast and Accurate ML in 3 Lines of Code

#Awesome#A collection of AWESOME things about domain adaptation

#计算机科学#Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

#人脸识别#🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥

#计算机科学#A library for transfer learning by reusing parts of TensorFlow models.

#计算机科学#The next generation deep reinforcement learning tookit

#计算机科学#Collection of AWESOME vision-language models for vision tasks

#计算机科学#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

#自然语言处理#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 Autoenco...

#自然语言处理#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.

#计算机科学#Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

#自然语言处理#EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit

#自然语言处理#Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models

#计算机科学#一些关于机器学习的学习资料与研究介绍

#计算机科学#FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai

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

#自然语言处理#🏡 Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.