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transfer-learning

Here are 3,980 public repositories matching this topic...

tim-learn / awesome-test-time-adaptation

Collection of awesome test-time (domain/batch/instance) adaptation methods

transfer-learning domain-adaptation test-time-augmentation domain-generalization distribution-shift test-time-adaptation source-free-domain-adaptation test-time-training continual-test-time-adaptation

Updated Jun 6, 2024

Edgar-La / Brain-Tumor-Classification

deep-learning cnn classification transfer-learning vgg16 data-augmentation keras-visualization resnet-50 mobilenet inception-resnet-v2 brain-tumor brain-tumor-classification efficentnet3d

Updated Jun 6, 2024
Jupyter Notebook

ViTAE-Transformer / ViTAE-Transformer-Remote-Sensing

A comprehensive list [SAMRS@NeurIPS'23, RVSA@TGRS'22, RSP@TGRS'22] of our research works related to remote sensing, including papers, codes, and citations. Note: The repo for [TGRS'22] "An Empirical Study of Remote Sensing Pretraining" has been moved to: https://github.com/ViTAE-Transformer/RSP

deep-learning remote-sensing classification object-detection transfer-learning semantic-segmentation change-detection self-supervised-learning vision-transformer

Updated Jun 6, 2024
TeX

ViTAE-Transformer / MTP

The official repo for [JSTARS'24] "MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining"

deep-learning remote-sensing classification object-detection transfer-learning semantic-segmentation change-detection pre-training foundation-models

Updated Jun 6, 2024
Python

hnuzhy / CV_DL_Gather

Gather research papers, corresponding codes (if having), reading notes and any other related materials about Hot🔥🔥🔥 fields in Computer Vision based on Deep Learning.

machine-learning deep-learning codes object-detection transfer-learning papers super-resolution knowledge-distillation action-recognition multi-object-tracking domain-adaptation model-compression single-person-pose-estimation multi-person-pose-estimation

Updated Jun 6, 2024

isLinXu / paper-list

autoupdate paper list

reinforcement-learning classification image-generation object-detection transfer-learning optical-flow object-tracking semantic-segmentation action-recognition audio-processing pose-estimation depth-estimation anomaly-detection multimodal scene-understanding graph-neural-networks llm

Updated Jun 6, 2024
Python

autogluon / autogluon

Fast and Accurate ML in 3 Lines of Code

Updated Jun 5, 2024
Python

XaverKrueckl / BaySIDshot

Master Thesis on Analyzing Slot and Intent Detection for Upper German Dialects via Zero-Shot Transfer Learning

transfer-learning sid dialects zeroshot-learning multilingual-models machamp

Updated Jun 5, 2024
Python

molmod / psiflow

scalable molecular simulation

machine-learning dft molecular-dynamics pytorch quantum-chemistry transfer-learning cp2k enhanced-sampling coupled-cluster free-energy-calculations orca-quantum-chemistry plumed2 gpaw

Updated Jun 5, 2024
Python

pablotanner / emotion-recognition

Files relevant for my bachelor thesis on different automatic emotion recognition approaches

random-forest svm transfer-learning landmarks openface landmark-detection emotion-detection emotion-recognition facs facial-action-units

Updated Jun 5, 2024
Jupyter Notebook

LuluW8071 / Data-Science

From Python basics to Machine Learning and PyTorch Deep Learning - one day at a time, explore it all

python git machine-learning computer-vision deep-learning neural-network cnn data-visualization pytorch image-classification transfer-learning 100-days-of-code pytorch-tutorial opencv2 pytorch-lightning pytorch-lightning-tutorial

Updated Jun 5, 2024
Jupyter Notebook

sparseml

neuralmagic / sparseml

Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models

nlp sparsity tensorflow keras pytorch deep-learning-algorithms image-classification deep-learning-library pruning object-detection transfer-learning automl computer-vision-algorithms onnx deep-learning-models sparsification pruning-algorithms smaller-models sparsification-recipes

Updated Jun 5, 2024
Python

openvinotoolkit / training_extensions

Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™

machine-learning computer-vision deep-learning pytorch semi-supervised-learning image-classification object-detection transfer-learning image-segmentation quantization action-recognition automl incremental-learning anomaly-detection hyper-parameter-optimization self-supervised-learning openvino neural-networks-compression datumaro

Updated Jun 5, 2024
Python

chinmoyt03 / Deep-Learning-Based-Diabetes-Risk-Analysis

Data Science Project: Comparing 3 Deep Learning Methods (CNN, LSTM, and Transfer Learning).

python deep-learning neural-network cnn dropout convolutional-neural-networks confusion-matrix transfer-learning keras-tensorflow classification-report softmax sigmoid adam-optimizer long-short-term-memory roc-auc relu minmaxscaler standard-error-of-the-mean

Updated Jun 5, 2024
Jupyter Notebook

bminixhofer / zett

Code for Zero-Shot Tokenizer Transfer

multilingual transfer-learning language-model tokenization llm llms

Updated Jun 5, 2024
Python

explosion / spacy-transformers

🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy

nlp machine-learning natural-language-processing google pytorch spacy openai transfer-learning language-model bert natural-language-understanding spacy-pipeline spacy-extension pytorch-model gpt-2 huggingface xlnet

Updated Jun 5, 2024
Python

jianghaojun / Awesome-Parameter-Efficient-Transfer-Learning

A collection of parameter-efficient transfer learning papers focusing on computer vision and multimodal domains.

machine-learning computer-vision deep-learning transfer-learning multimodal-deep-learning parameter-efficient-learning parameter-efficient-tuning

Updated Jun 5, 2024

tensorflow / hub

A library for transfer learning by reusing parts of TensorFlow models.

python machine-learning tensorflow ml embeddings image-classification transfer-learning

Updated Jun 5, 2024
Python

ZobayerAkib / Transfer-Learning-for-NLP-with-TensorFlow-Hub

This project demonstrates the use of various pre-trained models for transfer learning in NLP using TensorFlow Hub.

nlp natural-language-processing transfer-learning pretrained-models tensorboard-visualizations fine-tuning tensorflowhub pretrained-language-model quora-insincere-questions-classification

Updated Jun 4, 2024
Jupyter Notebook

myspace20 / disease-classifier

A minimal late light blight disease classifier for the tomato plant for small scale farms and home growers of the tomato plant.

nodejs machine-learning typescript deep-learning tensorflow python3 transfer-learning disease-prediction

Updated Jun 4, 2024
TypeScript

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