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

• UpdatedFeb 18, 2025
• Python

Transfer Learning for Anime Characters Recognition

• UpdatedNov 18, 2017
• Python

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

• UpdatedApr 15, 2024
• Jupyter Notebook

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

• UpdatedJun 11, 2024
• Python

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

• UpdatedJul 14, 2018
• Python

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

• UpdatedDec 10, 2023
• Jupyter Notebook

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。

• UpdatedMar 28, 2025
• JavaScript

Fall Detection and Prediction using GRU and LSTM with Transfer Learning

• UpdatedMay 25, 2021
• Jupyter Notebook

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

• UpdatedFeb 2, 2022
• Python

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

• UpdatedNov 2, 2020

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

• UpdatedAug 8, 2021
• Python

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

• UpdatedNov 17, 2021
• Python

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

• UpdatedNov 4, 2024
• R

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"

• UpdatedJan 15, 2022
• Python

Simple CNN is a library that can be used to train and infer CNN models by use of PyTorch and ONNX.

• UpdatedSep 24, 2022
• Python

transferlearning for small training set object detection

• UpdatedMay 28, 2020
• Python

Deep Learning and Transfer Learning Architectures for English Premier League Player Performance Forecasting: CS229 Final Project

• UpdatedNov 2, 2024
• Jupyter Notebook

Concrete cracking is a major issue in Bridge Engineering. Detection of cracks facilitates the design, construction and maintenance of bridges effectively.

• UpdatedJan 28, 2023
• Jupyter Notebook

Implementation of various basic layers forward and back propagation. CS 231n Stanford Spring 2018: Convolutional Neural Networks for Visual Recognition. Solutions to Assignments

• UpdatedDec 7, 2022
• Jupyter Notebook

A collection of code snippets covering the basic fundamentals of PyTorch, including tensors, autograd, neural networks, and optimization.

• UpdatedOct 13, 2024
• Jupyter Notebook