transferlearning

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

翻译 - Everything about Transfer Learning and Domain Adaptation--迁移学习

Transfer Learning for Anime Characters Recognition

#计算机科学#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

#计算机科学#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

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

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Fall Detection and Prediction using GRU and LSTM with Transfer Learning

#计算机科学#Automatic Annotation tool for labelling images in bulk with their corresponding bounding box annotations.

#计算机科学#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“

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

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 T...

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

transferlearning for small training set object detection

#计算机科学#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

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

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