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Search results for pytorch transfer learning
pytorch
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transfer-learning
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147 search results found
Pscapsnet
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12
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"
Fgvc
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12
Fine-Grained Visual Classification for Plants & Flowers
Large Scale Pretraining Transfer
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11
Code for reproducing the experiments on large-scale pre-training and transfer learning for the paper "Effect of large-scale pre-training on full and few-shot transfer learning for natural and medical images" (https://arxiv.org/abs/2106.00116)
A2mim
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11
[ICML 2023] Architecture-Agnostic Masked Image Modeling -- From ViT back to CNN
Udacity Nanodegree Projects
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11
Udacity nanodegree projects: DLND, DRLND, DAND
Maskdectector
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11
This repository contains an implementación to detect people with mask to prevent from COVID-19
Deep Learning With Neural Networks
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11
This repo contains various use-cases of deep-learning implemented in Pytorch. It also contains summarized notes of each chapter from the book, 'Deep Learning' written by Ian Goodfellow.
Bert Coref Resolution Lee
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11
Coreference Model Experimentation (Tensorflow and Pytorch) : Mainly Using transfer learning and Transformer Model BERT
Contextual Squeeze And Excitation
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10
Official Pytorch implementation of the paper "Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification" (NeurIPS 2022)
Tvmodels
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10
Pytorch implementation of vision models.
Mixmatch Transferlearning
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10
Combines the SSL Method MixMatch with a pre-trained model (EfficientNet) on a chest x-ray dataset.
Car_damage_instance_segmentation_model
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9
Computer Vision
Flower Species Recognition
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9
A CNN that recognizes the flower species
Densedepth Pytorch
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9
pytorch implement of [High Quality Monocular Depth Estimation via Transfer Learning]
Hugging Face Tutorials
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9
Getting started with Hugging Face
Transfer_learning_cspt
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9
Avit
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9
[MICCAI ISIC Workshop 2023] AViT: Adapting Vision Transformers for Small Skin Lesion Segmentation Datasets (an official implementation)
T5 Text To Text Transfer Transformer
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9
Demo of the T5 model for various pre-trained task.
Prognet_emorecog
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9
A Pytorch implementation of 'Progressive Neural Networks for Transfer Learning in Emotion Recognition'
Simple_cnn
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9
Simple CNN is a library that can be used to train and infer CNN models by use of PyTorch and ONNX.
Cw Rgp
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9
An official implementation of CW-RGP.
Udacity Deep Learning Nanodegree
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8
The course is contained knowledge that are useful to work on deep learning as an engineer. Simple neural networks & training, CNN, Autoencoders and feature extraction, Transfer learning, RNN, LSTM, NLP, Data augmentation, GANs, Hyperparameter tuning, Model deployment and serving are included in the course.
Farle
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7
A CLI tool to help train Atari games for performing experiments related to transfer learning in reinforcement learning built as part of our final year project.
Personreidentification
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7
My team was a finalist in the Walmart Deep Learning Computer Vision Competition. The project was part of the graduate machine learning course at Texas A&M. We built a CNN with mutual & transfer learning, and more in PyTorch.
Cdsw Caltech Gpu
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7
Deep learning for image classification via transfer learning using Keras, PyTorch, and MXNet on Cloudera Data Science Workbench
Cam
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7
VGG transfer learning and Class Activation Mapping
Deep Learning Nd
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7
Projects and exercises for the Deep Learning Nanodegree
Res Facenet
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7
Pretrained Facenet model
Gtn
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6
PyTorch implementation for "Gated Transfer Network for Transfer Learning"
Security Intelligence On Exchanged Multimedia Messages Based On Deep Learning
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6
Deep learning (DL) approaches use various processing layers to learn hierarchical representations of data. Recently, many methods and designs of natural language processing (NLP) models have shown significant development, especially in text mining and analysis. For learning vector-space representations of text, there are famous models like Word2vec, GloVe, and fastText. In fact, NLP took a big step forward when BERT and recently GTP-3 came out. Deep Learning algorithms are unable to deal with te
Open Set Resnet
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6
Open set classification of car models. This 3-step classifier solves the problem where dogs are classified as cars, by first filtering these images out using ResNet CNNs transfer-trained on different datasets.
Face To Bmi Vit
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6
Predict the Body Mass Index with one image of a human face, with state-of-the-art results.
Issueslanguagemodel
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6
A Language model trained on a large corpus of GitHub Issues
Pytorch Image Classification
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6
Image classification using pytorch
Policy Distillation Baselines
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6
Pytorch Implementation of Policy Distillation for control, which has well-trained teachers via stable_baselines3.
Efft Effective Factor Tuning
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6
Official code of EFFT (arXiv:2311.06749)
Cola_pytorch
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5
COLA contrastive pre-training method implemented in PyTorch
Transfer Learning In Pytorch
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5
Implementing transfer learning on AlexNet using Pytorch
St_loss
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5
Selective Transferring Loss for Pedestrian Detection Learning from Multi-Domains
Pneumonia_detection
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5
This repository contains code for pneumonia detection using X-ray images of the lungs.
Federated Knowledge Alignment
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5
Xllm Demo
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5
Demo project using XLLM
Pyclassify
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5
Simple command line tool for transfer learning
Refcontrast
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5
Understanding Synonymous Referring Expressions via Contrastive Features
Hierarchical Language Modeling
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5
We address the task of learning contextualized word, sentence and document representations with a hierarchical language model by stacking Transformer-based encoders on a sentence level and subsequently on a document level and performing masked token prediction.
Chest Xray Vision
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5
Chest Xray image Classification using Deep learning using Pytorch ~
Malaria Detection
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5
Deep learning approach to solve malaria detection using transfer learning in Pytorch
Pytorch Image Models With Simclr
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5
Multi-label classification based on timm, and add SimCLR to timm.
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