Awesome Open Source
Search
Programming Languages
Languages
All Categories
Categories
About
Search results for pytorch transfer learning
pytorch
x
transfer-learning
x
147 search results found
Autogluon
⭐
7,109
Fast and Accurate ML in 3 Lines of Code
Super Gradients
⭐
4,125
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
Face.evolve
⭐
3,074
🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥
Sparseml
⭐
1,910
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
Easynlp
⭐
1,871
EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit
Flow Forecast
⭐
1,759
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
Farm
⭐
1,706
🏡 Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.
Transfer Learning Conv Ai
⭐
1,499
🦄 State-of-the-Art Conversational AI with Transfer Learning
Big_transfer
⭐
1,421
Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.
Densedepth
⭐
1,365
High Quality Monocular Depth Estimation via Transfer Learning
Spacy Transformers
⭐
1,302
🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy
Training_extensions
⭐
1,119
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
Getting Things Done With Pytorch
⭐
873
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.
Torchxrayvision
⭐
760
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
Primeqa
⭐
677
The prime repository for state-of-the-art Multilingual Question Answering research and development.
Cutmix Pytorch
⭐
611
Official Pytorch implementation of CutMix regularizer
Deep Transfer Learning
⭐
517
A collection of implementations of deep domain adaptation algorithms
Deepfake Detection
⭐
501
Towards deepfake detection that actually works
Complete Life Cycle Of A Data Science Project
⭐
499
Complete-Life-Cycle-of-a-Data-Science-Project
Powerful Benchmarker
⭐
426
A library for ML benchmarking. It's powerful.
Rexnet
⭐
416
Official Pytorch implementation of ReXNet (Rank eXpansion Network) with pretrained models
Pykale
⭐
415
Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem. ⭐ Star to support our work!
Ner Bert
⭐
403
BERT-NER (nert-bert) with google bert https://github.com/google-research.
Seg Uncertainty
⭐
374
IJCAI2020 & IJCV2021 🌇 Unsupervised Scene Adaptation with Memory Regularization in vivo
Amazon Forest Computer Vision
⭐
364
Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks
Hipt
⭐
341
Hierarchical Image Pyramid Transformer - CVPR 2022 (Oral)
Fast Pytorch
⭐
299
Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes
Transfer Nlp
⭐
281
NLP library designed for reproducible experimentation management
Gam
⭐
257
A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
Pytorch Adapt
⭐
234
Domain adaptation made easy. Fully featured, modular, and customizable.
L2c
⭐
225
Learning to Cluster. A deep clustering strategy.
Retrieval 2017 Cam
⭐
206
Class-Weighted Convolutional Features for Image Retrieval (BMVC 2017)
Noah
⭐
202
Searching prompt modules for parameter-efficient transfer learning.
Pytorch Nlp Notebooks
⭐
199
Learn how to use PyTorch to solve some common NLP problems with deep learning.
Pytorch Retraining
⭐
169
Transfer Learning Shootout for PyTorch's model zoo (torchvision)
Laserembeddings
⭐
163
LASER multilingual sentence embeddings as a pip package
Everypixelmatters
⭐
150
Implementation of ECCV 2020 paper "Every Pixel Matters: Center-aware Feature Alignment for Domain Adaptive Object Detector"
Snca.pytorch
⭐
136
Improving Generalization via Scalable Neighborhood Component Analysis
Pytorch_classifiers
⭐
123
Almost any Image classification problem using pytorch
Bert Sklearn
⭐
119
a sklearn wrapper for Google's BERT model
Scaling Laws Openclip
⭐
112
Reproducible scaling laws for contrastive language-image learning (https://arxiv.org/abs/2212.07143)
Ulm Basenet
⭐
97
Implementation of ULMFit algorithm for text classification via transfer learning
Imagenet
⭐
97
Pytorch Imagenet Models Example + Transfer Learning (and fine-tuning)
Ddc Transfer Learning
⭐
84
A simple implementation of Deep Domain Confusion: Maximizing for Domain Invariance
Prompt Transferability
⭐
79
On Transferability of Prompt Tuning for Natural Language Processing
Adatime
⭐
77
[TKDD 2023] AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data
Tweet Stance Prediction
⭐
77
Applying NLP transfer learning techniques to predict Tweet stance
Mkt
⭐
77
Official implementation of "Open-Vocabulary Multi-Label Classification via Multi-Modal Knowledge Transfer".
Petl Vit
⭐
73
Official code of [ICCV 2023] Binary Adapters, [AAAI 2023] FacT, [Tech report] Convpass
Rncdl
⭐
71
[NeurIPS 2022] The official implementation of "Learning to Discover and Detect Objects".
Dfspot Deepfake Recognition
⭐
66
Determine whether a given video sequence has been manipulated or synthetically generated
Beyond Inet
⭐
62
Code for experiments for "ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy"
Context Transformer
⭐
61
Context-Transformer: Tackling Object Confusion for Few-Shot Detection, AAAI 2020
Pathnet Pytorch
⭐
60
PyTorch implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks
Pytorch In Real Life
⭐
60
Contains real-life example that can be solved by pytorch
Arelu
⭐
58
AReLU: Attention-based-Rectified-Linear-Unit
Simple
⭐
56
Code for the paper: "SimPLE: Similar Pseudo Label Exploitation for Semi-Supervised Classification"
Self Supervised Vit Path
⭐
50
Self-Supervised Vision Transformers Learn Visual Concepts in Histopathology (LMRL Workshop, NeurIPS 2021)
Finetuning Scheduler
⭐
49
A PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.
Adapting Ocr
⭐
49
Pytorch implementation of our paper: Adapting OCR with Limited Labels
Datum
⭐
47
Official Implementation of One-shot Unsupervised Domain Adaptation with Personalized Diffusion Models
Ta3n
⭐
44
[ICCV 2019 Oral] TA3N: https://github.com/cmhungsteve/TA3N (Most updated repo)
Mrnet
⭐
44
Implementation of the paper: Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet
Hda
⭐
43
codes for Heuristic Domain Adaptation (NeurIPS2020)
Dl_notebooks
⭐
42
This repo contains all the notebooks mentioned in blog.
Adv_nlp_workshop_odsc_europe22
⭐
41
Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage deep learning and deep transfer learning to solve popular tasks in NLP including Classification, Information Retrieval, Sentiment Analysis, Search Engines, Clustering, Paraphrase Mining, Summarization, Language Translation, Q&A systems
Bert Qna Squad_2.0_finetuned_model
⭐
38
BERT which stands for Bidirectional Encoder Representations from Transformations is the SOTA in Transfer Learning in NLP.
Keras Pytorch Avp Transfer Learning
⭐
38
We pit Keras and PyTorch against each other, showing their strengths and weaknesses in action. We present a real problem, a matter of life-and-death: distinguishing Aliens from Predators!
Nlp_workshop_odsc_europe20
⭐
36
Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage machine learning, deep learning and deep transfer learning to learn and solve popular tasks using NLP including NER, Classification, Recommendation \ Information Retrieval, Summarization, Classification, Language Translation, Q&A and Topic Models.
Udacity Cvnd Projects
⭐
34
My solutions to the projects assigned for the Udacity Computer Vision Nanodegree
Invariance Equivariance
⭐
33
"Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning" by Mamshad Nayeem Rizve, Salman Khan, Fahad Shahbaz Khan, Mubarak Shah (CVPR 2021)
Deeplogo2
⭐
32
A brand logo detection system by DETR
Tvt
⭐
31
Code of TVT: Transferable Vision Transformer for Unsupervised Domain Adaptation, WACV 2023
Neuralblack
⭐
30
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
Benchmarktransferlearning
⭐
30
Official PyTorch Implementation and Pre-trained Models for Benchmarking Transfer Learning for Medical Image Analysis
Pytorch Image Models Multi Label Classification
⭐
29
Multi-label classification based on timm.
Cups Rl
⭐
27
Customisable Unified Physical Simulations (CUPS) for Reinforcement Learning. Experiments run on the ai2thor environment (http://ai2thor.allenai.org/) e.g. using A3C, RainbowDQN and A3C_GA (Gated Attention multi-modal fusion) for Task-Oriented Language Grounding (tasks specified by natural language instructions) e.g. "Pick up the Cup or else"
Bert_for_longer_texts
⭐
25
BERT classification model for processing texts longer than 512 tokens. Text is first divided into smaller chunks and after feeding them to BERT, intermediate results are pooled. The implementation allows fine-tuning.
Transseg
⭐
25
Official Code Release for Adapting Pre-trained Vision Transformers from 2D to 3D through Weight Inflation Improves Medical Image Segmentation
Easytorch
⭐
24
EasyTorch is a research-oriented pytorch prototyping framework with a straightforward learning curve. It is highly robust and contains almost everything needed to perform any state-of-the-art experiments.
Image Classification Pytorch
⭐
24
Implement image classification in pytorch
Pytorch_cnn_trainer
⭐
23
A simple but powerful CNN trainer for PyTorch
Open Source Models
⭐
22
Address book for computer vision models.
Regularized Self Labeling
⭐
20
We present a regularized self-labeling approach to improve the generalization and robustness properties of fine-tuning.
Model_preparation_algorithm
⭐
20
Model Preparation Algorithm: a Transfer Learning Framework
Deep Learning
⭐
19
It contains the coursework and the practice I have done while learning Deep Learning.🚀 👨💻💥 🚩🌈
Vatl4pose Wacv2024
⭐
19
[WACV2024] Official PyTorch implimentation for ``Active Transfer Learning for Efficient Video-Specific Human Pose Estimation''
Msgazenet
⭐
18
This is the official implementation of our work entitled "Multistream Gaze Estimation with Anatomical Eye Region Isolation by Synthetic to Real Transfer Learning" (Currently under review)
Ae Wtn
⭐
18
Scaling Object Detection by Transferring Classification Weights
Hand Tracking Pytorch
⭐
18
Hand tracking application developed in Pytorch
Ntua Slp Wassa Iest2018
⭐
18
Deep-learning Transfer Learning models of NTUA-SLP team submitted at the IEST of WASSA 2018 at EMNLP 2018.
Au_recognition
⭐
18
AU_Recognition based on CKPlus/CK database
Revolver
⭐
17
REvolveR: Continuous Evolutionary Models for Robot-to-robot Policy Transfer (ICML 2022 Long Oral)
Few_shot_dialogue_generation
⭐
16
Dialogue Knowledge Transfer Networks (DiKTNet)
Objectnet
⭐
15
PyTorch implementation of "Pyramid Scene Parsing Network".
Music Genre Classification
⭐
15
Genre Classification using Convolutional Neural Networks
Multi Label Classification Of Pubmed Articles
⭐
14
The traditional machine learning models give a lot of pain when we do not have sufficient labeled data for the specific task or domain we care about to train a reliable model. Transfer learning allows us to deal with these scenarios by leveraging the already existing labeled data of some related task or domain. We try to store this knowledge gained in solving the source task in the source domain and apply it to our problem of interest. In this work, I have utilized Transfer Learning utilizing
Explainableml Vision
⭐
14
This repository introduces different Explainable AI approaches and demonstrates how they can be implemented with PyTorch and torchvision. Used approaches are Class Activation Mappings, LIMA and SHapley Additive exPlanations.
Deep Learning Projects
⭐
13
Best Deep Learning Projects for Advanced Learners
Adam
⭐
13
The Thirty-Sixth Annual Conference on Neural Information Processing Systems (NeurIPS) 2022
Related Searches
Python Pytorch (14,669)
Jupyter Notebook Pytorch (4,892)
Deep Learning Pytorch (4,652)
Machine Learning Pytorch (2,934)
Dataset Pytorch (1,884)
Pytorch Convolutional Neural Networks (1,777)
Pytorch Tensorflow (1,443)
Pytorch Neural Network (1,391)
Network Pytorch (1,299)
Pytorch Neural (1,217)
1-100 of 147 search results
Next >
Privacy
|
About
|
Terms
|
Follow Us On Twitter
Copyright 2018-2024 Awesome Open Source. All rights reserved.