#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
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。
#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.
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.
#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
#计算机科学#Working repository for Computer Vision course 2018.