There are 2 repositories under transferlearning topic.
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
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
Tensorflow codes for ICML2018, Learning Semantic Representations for Unsupervised Domain Adaptation
To Detect and Classify Brain Tumors using CNN and ANN as an asset of Deep Learning and to examine the position of the tumor.
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
Dataset and code for "Interaction Attention Transfer Network for Cross-domain Sentiment Classification“
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
Velodrome combines semi-supervised learning and out-of-distribution generalization (domain generalization) for drug response prediction and pharmacogenomics
Simple CNN is a library that can be used to train and infer CNN models by use of PyTorch and ONNX.
Implementation of various basic layers forward and back propagation. CS 231n Stanford Spring 2018: Convolutional Neural Networks for Visual Recognition. Solutions to Assignments
Transfer Learning and Data Augmentation Techniques for Sketch Recognition
Working repository for Computer Vision course 2018.
Concrete cracking is a major issue in Bridge Engineering. Detection of cracks facilitates the design, construction and maintenance of bridges effectively.
Deep Learning and Transfer Learning Architectures for English Premier League Player Performance Forecasting: CS229 Final Project
Android Application with Tensorflow Backend for Plant Image Classification
Final Report - Project of Machine Learning_M2QF_University of Paris Saclay [https://www.universite-paris-saclay.fr/formation/master/mathematiques-et-applications/m2-finance-quantitative]
Guide for setting up a virtual environment and kernel for Python image processing. Practical exercises cover face recognition, shapes detection, vehicle identification, face detection, and vehicle number plate detection in a Jupiter Notebook. Purpose: Hands-on experience with essential computer vision techniques.
Fashion Image CNN Classifier using Keras
Object Detection via pre-trained YOLOv3 is used to detect vehicles from an image. Transfer learning on ResNet-50 outer layers with a two-class dataset trains for 50 epochs. 81% accuracy.
Fork of initial project, in order to use Webcam and Machine Learning instead of keyboard to drive the car.
Obtaining a Heat Map of the areas most influential in sorting chest X-ray images.
Apply deep learning to detect and classify cracks. Prior to tensorflow framework and developed a GUI for deployment purposes.
This repository contains solving of NLP problems using transfer learning
A transfer learning model to identify the breed of a dog from an image.It uses the trained model mobilenet.The modules used are Numpy , PIL , Tensorflow and tensorflow_hub
Vancouver School of AI - Image Classification
Image Recognition, Image Segmentation, Transfer Learning, Face Recognition
Skin cancer classification using Transfer Learning and explainable AI
Fashion Recommender : Powered by Transfer Learning