transferlearning | Topic | Ecosyste.ms: Repos

Topic: "transferlearning"

jindongwang/transferlearning

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

Language: Python - Size: 35.4 MB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 13,779 - Forks: 3,835

freedomofkeima/transfer-learning-anime

Transfer Learning for Anime Characters Recognition

Language: Python - Size: 62.3 MB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 187 - Forks: 24

Mid-Push/Moving-Semantic-Transfer-Network

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

Language: Python - Size: 104 MB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 105 - Forks: 38

ybendou/easy

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

Language: Python - Size: 46.9 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 104 - Forks: 16

iawooo/ctt

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。

Language: JavaScript - Size: 2.02 MB - Last synced at: 2 days ago - Pushed at: 5 days ago - Stars: 82 - Forks: 46

SartajBhuvaji/Brain-Tumor-Classification-Using-Deep-Learning-Algorithms

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

Language: Jupyter Notebook - Size: 74.3 MB - Last synced at: 26 days ago - Pushed at: over 1 year ago - Stars: 65 - Forks: 24

aksh-ai/neuralBlack

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

Language: Jupyter Notebook - Size: 6.36 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 56 - Forks: 30

Suraj520/CognitiveAnnotationTool

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

Language: Python - Size: 2.24 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 31 - Forks: 14

IKKIM00/fall-detection-and-predction-using-GRU-and-LSTM-with-Transfer-Learning

Fall Detection and Prediction using GRU and LSTM with Transfer Learning

Language: Jupyter Notebook - Size: 616 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 27 - Forks: 2

1146976048qq/IATN

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

Language: Python - Size: 220 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 20 - Forks: 3

hosseinshn/Velodrome

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

Language: Python - Size: 2.09 MB - Last synced at: 25 days ago - Pushed at: over 3 years ago - Stars: 17 - Forks: 2

shbrief/GenomicSuperSignature

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

Language: R - Size: 194 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 16 - Forks: 7

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"

Language: Python - Size: 15.3 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 13 - Forks: 4

LahiRumesh/simple_cnn

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

Language: Python - Size: 58.6 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 8 - Forks: 2

danielfrees/mlpremier

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

Language: Jupyter Notebook - Size: 56.2 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 3 - Forks: 1

aartighatkesar/Deep-Learning-Fundamentals

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

Language: Jupyter Notebook - Size: 59.6 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 2

CDInstitute/MongeNET

Transfer Learning and Data Augmentation Techniques for Sketch Recognition

Size: 59.6 KB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 3 - Forks: 1

radonys/CV-Assignments

Working repository for Computer Vision course 2018.

Language: Python - Size: 19.2 MB - Last synced at: about 1 year ago - Pushed at: about 7 years ago - Stars: 3 - Forks: 4

Sanky18/L-T-EduTech-Hackathon-at-SHAASTRA-IITM

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

Language: Jupyter Notebook - Size: 2.19 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

sunnysoni97/iplantify_droid

Android Application with Tensorflow Backend for Plant Image Classification

Language: Python - Size: 249 MB - Last synced at: 3 months ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 2

Hannibal730/KONKUK-Univ_Autonomous-Driving-Competition

건국대학교 주관 행동모사 자율주행 경진대회 1위 (2024.06)

Language: Python - Size: 39.6 MB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 1 - Forks: 0

Anthony-Antona/Functional-Analysis-and-Transfer-Learning

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]

Language: Jupyter Notebook - Size: 3.49 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

SkyisjustTheBeginning/breed-identifier

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

Language: Python - Size: 8.79 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

HectorBst/webcam-racer Fork of jakesgordon/javascript-racer

Fork of initial project, in order to use Webcam and Machine Learning instead of keyboard to drive the car.

Language: JavaScript - Size: 16.2 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

cchighman/ImageAI-YOLOv3-Fine-Tuning-Vehicle-Classification

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.

Language: Jupyter Notebook - Size: 101 KB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 1

navanith007/ULMFit-using-pytorch

This repository contains solving of NLP problems using transfer learning

Language: Jupyter Notebook - Size: 11.7 KB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0

Thunder1989/melange

Language: Jupyter Notebook - Size: 1.68 MB - Last synced at: about 1 year ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 0

vijay06/Keras

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

Language: Jupyter Notebook - Size: 2.58 MB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 1

xinbinhuang/learn_image_classification Fork of johannesharmse/learn_image_classification

Vancouver School of AI - Image Classification

Language: Python - Size: 6 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 1

eliashossain001/SARS-CoV-2Detection

Developing and comparing deep learning models for identifying Covid-19 diseases on CT and X-ray images.

Language: Jupyter Notebook - Size: 29.6 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 0 - Forks: 0

Arsalanzabeeb786/facial-keypoints-detection-using-pytorch

Facial Keypoint Detection using PyTorch and a modified VGG16 architecture. This project identifies 68 facial landmarks—covering eyes, nose, mouth, jawline, and eyebrows—on human faces. The model is trained on normalized keypoints with adaptive pooling, custom dataset handling, and transfer learning.

Language: Jupyter Notebook - Size: 627 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

steveee27/Multi-Label-Clothing-Classification-Predicting-Type-and-Color

This project focuses on creating a multi-label classification system to categorize clothing images based on type (T-shirt or Hoodie) and color (Red, Yellow, Blue, Black, White). By leveraging advanced deep learning techniques, this solution aims to streamline product categorization for fashion e-commerce platforms like Matos Fashion.

Language: Jupyter Notebook - Size: 43.9 KB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

steveee27/Fruit-Classification-with-VGG-16-Architecture

This project classifies fruit images into four categories: Acai, Acerola, Apple, and Avocado. Using Convolutional Neural Networks (CNN), it predicts fruit types with VGG-16. The model is optimized with data augmentation, dropout, and batch normalization for better performance and accuracy.

Language: Jupyter Notebook - Size: 8.17 MB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

steveee27/Batik-Motif-Classification-Using-Deep-Learning-and-Transfer-Learning

This project involves the use of deep learning models to classify Indonesian batik motifs. By utilizing deep learning techniques such as Convolutional Neural Networks (CNNs) and Transfer Learning, this project aims to automatically identify three well-known batik motifs: Parang, Mega Mendung, and Kawung.

Language: Jupyter Notebook - Size: 26.2 MB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Projects-Developer/Brain-Tumor-Detection-using-Deep-Learning

A deep learning-based approach for automatic detection of brain tumors from magnetic resonance imaging (MRI) scans. Brain Tumor Detection using Deep Learning Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials

Size: 5.86 KB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Projects-Developer/Plant-Disease-Detection-Project

A machine learning-based project aimed at detecting and identifying plant diseases from images of affected plants. Plant Disease Detection Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials

Size: 5.86 KB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

SathvikNayak123/image-classification-with-MLOps

End-toEnd Data Science Project with Transfer Learning and MLOps

Language: Jupyter Notebook - Size: 157 MB - Last synced at: about 2 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

alexdjulin/ik-image-classification-with-cnn

Build a Convolutional Neural Network (CNN) model to classify images from a given dataset into predefined categories/classes.

Language: Jupyter Notebook - Size: 17.7 MB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

mb16biswas/dog_classifier_web_app

created using transfer learning

Language: Jupyter Notebook - Size: 39.6 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

MariahFerns/Image-Classification-Transfer-Learning

Image classification using CNN and transfer learning from pre-trained models for better performance.

Language: Jupyter Notebook - Size: 18.3 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

ruchithakor/Skin_Cancer_TransferLearning_XAI

Skin cancer classification using Transfer Learning and explainable AI

Language: Jupyter Notebook - Size: 191 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

basuru07/Image_Processing_and_Computer_Vision_Practicals

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.

Language: Jupyter Notebook - Size: 1.22 GB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

gitzaan/Transfer-Learning-for-Customizable-Web-Filtering

Using Transfer Learning on base URL classification models to meet the differing needs of various organizations.

Language: Jupyter Notebook - Size: 27 MB - Last synced at: 9 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

saitejabandela/Fashion-Recommender-System

Fashion Recommender : Powered by Transfer Learning

Language: Python - Size: 3.91 KB - Last synced at: 7 months ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

kaledhoshme123/X-ray-Covid-19---Pneumonia-Heat-map

Obtaining a Heat Map of the areas most influential in sorting chest X-ray images.

Language: Jupyter Notebook - Size: 1.44 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 1

sraddhanjali/Aerial-Cactus-Identification

Trained a CNN model to classify cactus species (columnar cactus) in a binary classification challenge, hosted on Kaggle competition. Refined the model with image augmentation, pre-trained VGG16 model parameters using transfer learning, and improved the identification metric (area under ROC score) from 0.9964 to 0.9971 on the test set.

Language: Jupyter Notebook - Size: 3.56 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0