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Jupyter Notebook
Last Updated
Jul 11, 2022
Similar Repos
Repo | Language | Stars | Description | Updated At |
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Jupyter Notebook | 8 | This is the available code for the paper `evidential fully convolutional network for semantic segmentation … | Jun 23, 2022 | |
Python | 13 | A fuzzy machine learning algorithm utilizing Dempster-Shafer and Bayesian Theory | May 25, 2023 | |
Java | 2 | Features matching with Dempster-Shafer Theory as implements in the Evidence4J library | Dec 22, 2021 | |
Python | 2 | A Python library for performing calculations in the Dempster-Shafer theory of evidence. | Mar 08, 2023 | |
Python | 33 | Implementation of Deep evidential regression paper | Apr 25, 2023 | |
Python | 10 | Evidential Deep Learning in PyTorch | May 05, 2023 | |
Python | 4 | An implementation using PyTorch for the paper "Evidential Deep Learning to Quantify Classification Uncertainty". | Sep 09, 2022 | |
Python | 276 | Implementation of: Nazari, Mohammadreza, et al. "Deep Reinforcement Learning for Solving the Vehicle Routing Problem." … | Oct 11, 2022 | |
Python | 4 | Code for Arxiv Preprint "Double Descent Demystified: Identifying, Interpreting & Ablating the Sources of a … | Apr 26, 2023 | |
Python | 11 | Code for paper Kanavati, F. et al. (2020). Fully-automated deep learning slice-based muscle estimation from … | Sep 29, 2022 | |
Python | 5 | PyTorch implementation of the original evidental-deep-learning@https://github.com/aamini/evidential-deep-learning/ | Jul 25, 2022 | |
Jupyter Notebook | 49 | COVID-CXNet: Diagnosing COVID-19 in Frontal Chest X-ray Images using Deep Learning. Preprint available on arXiv: … | Aug 05, 2022 | |
None | 2 | COVID-CXNet: Diagnosing COVID-19 in Frontal Chest X-ray Images using Deep Learning. Preprint available on arXiv: … | Feb 22, 2022 | |
Python | 108 | Code for the paper: ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? … | Oct 04, 2022 | |
Python | 2 | Classifier For Deep Learning | Nov 22, 2018 | |
Jupyter Notebook | 12 | Companion code to the preprint: E Bıyık, K Wang, N Anari, D Sadigh, "Batch Active … | Dec 29, 2022 | |
C | 63 | A short paper describing the library is available on arXiv. | Aug 26, 2022 | |
Jupyter Notebook | 12 | This project takes the arXiv dataset and builds an automatic tag classifier from the arXiv … | May 04, 2022 | |
MATLAB | 3 | Code for the paper {Pang, Bo, and Zhong-Ping Jiang. "Reinforcement Learning for Adaptive Optimal Stationary … | Jul 13, 2022 | |
Jupyter Notebook | 5 | Fastai implementation of Evidential Deep Learning to Quantify Classification Uncertainty | Jun 14, 2022 | |
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Python | 2 | GUI deep learning image classifier. | Jul 04, 2019 | |
Python | 9 | Code for Paper "Evidential Softmax for Sparse MultimodalDistributions in Deep Generative Models" | Jun 06, 2022 | |
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Python | 51 | Official repository for the paper: Zhu, Alex Zihao, et al. "EventGAN: Leveraging Large Scale Image … | Sep 19, 2022 | |
Jupyter Notebook | 17 | Code for paper titled, "Beyond Homology Transfer: Deep Learning for Automated Annotation of Proteins". Preprint … | Mar 25, 2023 | |
Jupyter Notebook | 53 | demonstration of the information bottleneck theory for deep learning | May 05, 2023 | |
Jupyter Notebook | 6 | Thai name gender classifier with Deep learning | Nov 17, 2022 | |
Jupyter Notebook | 5 | Deep Learning Paper Implementations | Aug 03, 2022 | |
Python | 2 | Deep learning paper recurrence | Jan 04, 2022 | |
Jupyter Notebook | 48 | Deep learning paper notes | Sep 04, 2021 | |
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Python | 1900 | Official Pytorch implementation of the preprint paper "Castle in the Sky: Dynamic Sky Replacement and … | Oct 11, 2022 | |
None | 3 | Machine-Learning , Deep-Learning Paper Review | Sep 09, 2021 | |
Jupyter Notebook | 3 | Devlin, Jacob, et al. "Bert: Pre-training of deep bidirectional transformers for language understanding." arXiv preprint … | Jun 27, 2022 | |
HTML | 5 | Image Classifier website with Deep Learning using Flask | May 19, 2022 | |
Jupyter Notebook | 2 | Mobile Deep Learning Classifier for north american brids | Nov 02, 2022 | |
Jupyter Notebook | 25 | Accompanying code for reproducing experiments from the HybridSVD paper. Preprint is available at https://arxiv.org/abs/1802.06398. | Sep 22, 2022 | |
Haskell | 124 | Deep learning via category theory and functional programming | Nov 18, 2022 | |
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None | 9 | deep-learning-paper-been-read | Feb 13, 2020 | |
C++ | 4 | The implementation for the paper Laura M Smith, Linhong Zhu, Kristina Lerman, and Allon G … | Jul 29, 2022 | |
Python | 3 | Deep Evidential Learning with Noisy Correspondence for Cross-modal Retrieval ( ACM Multimedia 2022, Pytorch Code) | Oct 12, 2022 | |
TeX | 2 | Scribed notes for the [IFT6085] Deep Learning Theory course at UdeM | Feb 27, 2022 | |
Python | 4 | Tensorflow implementation of the Online Deep Learning: Learning Deep Neural Networks on the Fly paper. | Oct 04, 2022 | |
TeX | 4 | The Marpa theory paper [ARCHIVED] | Jan 28, 2023 | |
Java | 5 | A Dempster-Shafer (D-S) engine based on eVidenZ, an efficient D-S engine developed in C++ by … | May 17, 2022 | |
Python | 64 | Using GitHub Action to collect paper list with publicly available source code in the daily … | Oct 12, 2022 | |
Python | 22 | Code repository for the paper "Meta-Learning via Classifier(-free) Diffusion Guidance" | Apr 17, 2023 |