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

《迁移学习简明手册》LaTex源码

这是一个基于Cloudflare实现的Telegram消息转发机器人，专注于将用户消息安全、高效地转发到后台群组每个用户独立群组中的分话题，直接话题中发送信息而无需再艾特回复，适用于客服、社区管理等场景。

Transfer Learning for Anime Characters Recognition

A Multi-Class Brain Tumor Classifier using Convolutional Neural Network with 99% Accuracy achieved by applying the method of Transfer Learning using Python and Pytorch Deep Learning Framework

This repository is the official implementation Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients.

Tensorflow codes for ICML2018, Learning Semantic Representations for Unsupervised Domain Adaptation

Transfer Learning for Time Series Prediction Task

Applying transfer learning to a custom dataset by retraining Inception's final layer

To Detect and Classify Brain Tumors using CNN and ANN as an asset of Deep Learning and to examine the position of the tumor.

基于PyTorch使用迁移学习完成项目

Xuhong Li, Yves Grandvalet, and Franck Davoine. "Explicit Inductive Bias for Transfer Learning with Convolutional Networks." In ICML 2018.

Transfer Learning from Monolingual ASR to Transcription-free Cross-lingual Voice Conversion

Deep transfer learning-based skin cancer detection flask web app deployed on Heroku

Fall Detection and Prediction using GRU and LSTM with Transfer Learning

Automatic Annotation tool for labelling images in bulk with their corresponding bounding box annotations.

Resources of domain adaptation papers on sentiment analysis that have used Amazon reviews

Solving Problems with Applied Deep Learning (ITS-530)

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Dataset and code for "Interaction Attention Transfer Network for Cross-domain Sentiment Classification“

A transfer learning toolchain for semantic segmentation

Transfer Learning for Deep Learning

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Velodrome combines semi-supervised learning and out-of-distribution generalization (domain generalization) for drug response prediction and pharmacogenomics

instance based Transfer learning, TrAdaboost, mutisource-trAdaBoost regresion

A PyTorch implementation of Parameter-sharing Capsule Network based on the paper "Evaluating Generalization Ability of Convolutional Neural Networks and Capsule Networks for Image Classification via Top-2 Classification"

Interpretation of RNAseq experiments through robust, efficient comparison to public databases

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