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Jupyter Notebook
Last Updated
May 05, 2022
Similar Repos
| Repo | Language | Stars | Description | Updated At |
|---|---|---|---|---|
| Python | 7 | Pytorch implementation of "Hiding Images in Plain Sight: Deep Steganography" | May 05, 2022 | |
| Jupyter Notebook | 8 | Diffusion Illusions: Hiding Images in Plain Sight | Apr 14, 2023 | |
| Python | 173 | PyTorch implementation of Hash Embeddings (NIPS 2017). Submission to the NIPS Implementation Challenge. | Apr 03, 2023 | |
| Jupyter Notebook | 160 | Hiding Images within other images using Deep Learning | Nov 24, 2022 | |
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| Python | 117 | Implementation for <Deep Hyperspherical Learning> in NIPS'17. | Mar 27, 2023 | |
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| Jupyter Notebook | 7 | re-implementation of deep sets (NIPS 2017) in keras | Jan 04, 2022 | |
| C | 4 | Steganographic encoding implementation for hiding data in images | Jun 15, 2022 | |
| Python | 476 | PyTorch implementation of NIPS 2017 paper Dynamic Routing Between Capsules | Mar 28, 2023 | |
| Python | 125 | PyTorch implementation of "Continual Learning with Deep Generative Replay", NIPS 2017 | Aug 12, 2022 | |
| Python | 5 | PyTorch implementation of "Continual Learning with Deep Generative Replay", NIPS 2017 | Jan 28, 2023 | |
| Python | 87 | A PyTorch implementation of image steganography utilizing deep convolutional neural networks | May 30, 2023 | |
| Python | 11 | PyTorch implementation of FAIR's paper "End-to-End Memory Network", NIPS 2015 | Jul 18, 2019 | |
| Python | 77 | PyTorch implementation of the Value Iteration Networks (VIN) (NIPS '16 best paper) | Mar 21, 2023 | |
| Python | 3 | A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules". | Apr 14, 2020 | |
| Jupyter Notebook | 128 | Tensorflow implementation of NIPS 2017 Paper "Prototypical Networks for Few-shot Learning" | Jul 03, 2022 | |
| Python | 3 | Official Implementation of NIPS 2022 paper Pre-activation Distributions Expose Backdoor Neurons | Apr 28, 2023 | |
| Python | 3 | Code for reproducing results of NIPS 2014 paper "Semi-Supervised Learning with Deep Generative Models" | Oct 09, 2017 | |
| Python | 1532 | PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations" | Jul 27, 2022 | |
| Python | 4 | Tensorflow v2 implementation of NIPS 2017 Paper "Prototypical Networks for Few-shot Learning" | Jan 02, 2022 | |
| Python | 33 | Implementation of Deep evidential regression paper | Apr 25, 2023 | |
| Jupyter Notebook | 24 | Deep Adaptive Image Clustering Paper Implementation | Jul 25, 2022 | |
| C | 4 | C Implementation of Pixel Value Differencing based Steganography (LSB) - PNG Cover Images | Dec 26, 2022 | |
| Python | 5 | Keras implementation of paper "HiDDeN: Hiding Data With Deep Networks" by Jiren Zhu, Russell Kaplan, … | May 04, 2022 | |
| Jupyter Notebook | 7 | Implementation of the paper "Fair Clustering Through Fairlets" by Chierichetti et al. (NIPS 2017) | Mar 28, 2023 | |
| Python | 152 | A PyTorch implementation of CapsNet based on NIPS 2017 paper "Dynamic Routing Between Capsules" | Apr 26, 2023 | |
| Python | 11 | Official pytorch implementation of paper "Image Disentanglement Autoencoder for Steganography without Embedding" (CVPR2022). | Aug 09, 2022 | |
| Python | 10 | An official implementation of the paper "Addressing Segmentation Ambiguity in Neural Linguistic Steganography" | Apr 21, 2023 | |
| Python | 32 | Implementation of the paper : Deep image analogy | Mar 30, 2023 | |
| Python | 3 | My implementation of the 2017 NIPS paper titled "Protein Interface Prediction using Graph Convolutional Networks" | Apr 11, 2021 | |
| Python | 15 | A Keras implementation of DeepMask based on NIPS 2015 paper "Learning to Segment Object Candidates" | Jun 15, 2021 | |
| Jupyter Notebook | 4 | Double Deep Q-Network implementation for Lux AI Challenge. | Dec 13, 2021 | |
| Jupyter Notebook | 64 | Implementation of NIPS 2017 paper "Pose Guided Person Image Generation" in PyTorch. https://arxiv.org/abs/1705.09368 | Sep 18, 2022 | |
| Python | 209 | Official implementation for NIPS'17 paper: PredRNN: Recurrent Neural Networks for Predictive Learning Using Spatiotemporal LSTMs. | Aug 01, 2022 | |
| C++ | 17 | A multi-threaded C++ implementation of Nickel & Kiela's "Poincare Embeddings" paper from NIPS 2017, following … | May 14, 2022 | |
| Python | 14 | MIA 2021 paper 'Global guidance network for breast lesion segmentation in ultrasound images'. | May 20, 2023 | |
| None | 7 | Official PyTorch implementation for the paper "CRoSS: Diffusion Model Makes Controllable, Robust and Secure Image … | May 29, 2023 | |
| Jupyter Notebook | 2 | Implementation of the paper "Deep Learning-Based Channel Estimation" | Jan 04, 2022 | |
| None | 2 | a C++ implementation of projection satellites into geo-referenced images and evaluating NLOS (Non-Line of Sight)) | Dec 14, 2019 | |
| Python | 51 | Codes for paper: Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach | May 15, 2022 | |
| MATLAB | 2 | The Matlab Code and the Supplementary Material for the NIPS 2015 paper "Deep Temporal Sigmoid … | Mar 15, 2023 | |
| Matlab | 45 | The Matlab Code and the Supplementary Material for the NIPS 2015 paper "Deep Temporal Sigmoid … | Mar 16, 2023 | |
| Python | 95 | PyTorch Implementation of image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections … | May 03, 2023 | |
| Python | 163 | [NO MAINTENANCE INTENDED] A PyTorch implementation of CapsNet architecture in the NIPS 2017 paper "Dynamic … | Apr 09, 2022 | |
| Python | 11 | A PyTorch implementation of GAS-Net based on the paper "Global-Aware Siamese Network for Change Detection … | May 09, 2023 | |
| Python | 32 | Pytorch Implementation of the paper - "Tidying Deep Saliency Prediction Architectures" | Jul 18, 2022 |