Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
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Updated
May 29, 2024 - Python
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
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
Transfer Learning for Anime Characters Recognition
To Detect and Classify Brain Tumors using CNN and ANN as an asset of Deep Learning and to examine the position of the tumor.
This repository is the official implementation Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients.
Automatic Annotation tool for labelling images in bulk with their corresponding bounding box annotations.
Interpretation of RNAseq experiments through robust, efficient comparison to public databases
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"
Working repository for Computer Vision course 2018.
Image Recognition, Image Segmentation, Transfer Learning, Face Recognition
Dataset and code for "Interaction Attention Transfer Network for Cross-domain Sentiment Classification“
Implementation of various basic layers forward and back propagation. CS 231n Stanford Spring 2018: Convolutional Neural Networks for Visual Recognition. Solutions to Assignments
Velodrome combines semi-supervised learning and out-of-distribution generalization (domain generalization) for drug response prediction and pharmacogenomics
Resources of domain adaptation papers on sentiment analysis that have used Amazon reviews
Android Application with Tensorflow Backend for Plant Image Classification
Fall Detection and Prediction using GRU and LSTM with Transfer Learning
Simple CNN is a library that can be used to train and infer CNN models by use of PyTorch and ONNX.
In Repository you can find various problem solved using Deep learning algorithm like Artificial Neural Network,Convolutional Neural network,Recurrent Neural Network, AutoEncoder with Keras
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