Stars
14
Forks
1
Language
Ruby
Last Updated
Nov 01, 2023
Similar Repos
Repo | Language | Stars | Description | Updated At |
---|---|---|---|---|
Python | 3 | Translation quality evaluation for Firefox Translations models | Jan 29, 2022 | |
TeX | 3 | Supplementary material for the WMT 2019 publication: The Effect of Translationese in Machine Translation Test … | Oct 27, 2020 | |
Python | 60 | Tensorflow implementation of CNN described in https://arxiv.org/abs/1806.09594 | May 15, 2022 | |
Jupyter Notebook | 26 | Implementation of RLNs, as described in https://arxiv.org/abs/1805.06440 | Oct 10, 2022 | |
Python | 92 | TensorFlow implementation for the GP-VAE model described in https://arxiv.org/abs/1907.04155 | Oct 17, 2022 | |
Python | 74 | Official PyTorch implementation of SynDiff described in the paper (https://arxiv.org/abs/2207.08208). | Apr 28, 2023 | |
Python | 9 | Official PyTorch implementation of AdaDiff described in the paper (https://arxiv.org/abs/2207.05876). | May 05, 2023 | |
Python | 33 | Rank Ordered Autoencoder implementation as described in https://arxiv.org/abs/1605.01749 | Jan 24, 2021 | |
Python | 12 | Training and evaluation scripts for MALA (https://arxiv.org/abs/1709.02974). | Dec 10, 2022 | |
Python | 170 | TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199 | Oct 12, 2022 | |
Jupyter Notebook | 30 | Implementation of the approach described in the paper "Recurrent Instance Segmentation" https://arxiv.org/abs/1511.08250. | Jun 29, 2022 | |
Python | 2 | Python implementation of Elo-MMR as described in https://arxiv.org/abs/2101.00400 | Oct 03, 2023 | |
Python | 5 | A torch-based implementation of the Membership Inference Attack described in the paper : https://arxiv.org/abs/1610.05820 | Jan 02, 2023 | |
Python | 12 | 32-bit Implementation for Breaking Imphash as described in paper: https://arxiv.org/abs/1909.07630 | May 16, 2022 | |
Jupyter Notebook | 138 | Tensorflow implementation of a Hierarchical and Multiscale RNN, described in https://arxiv.org/abs/1609.01704 | Sep 14, 2022 | |
Python | 141 | Dense reppoints: Representing visual objects with dense point sets https://arxiv.org/abs/1912.11473 | Aug 17, 2022 | |
None | 4 | Implementation of [Simple, Scalable Adaptation for Neural Machine Translation](https://arxiv.org/abs/1909.08478) | Dec 24, 2022 | |
Python | 22 | Implement the paper: https://arxiv.org/abs/1907.05321 | Sep 27, 2022 | |
Python | 21 | Simple keras implementation of a generative adversarial neural network, as described in https://arxiv.org/abs/1406.2661 | Jul 08, 2022 | |
Jupyter Notebook | 7 | Jupyter notebooks to play around with population based training, as described in https://arxiv.org/abs/1711.09846 | Apr 16, 2021 | |
Lua | 392 | Implements an efficient softmax approximation as described in the paper "Efficient softmax approximation for GPUs" … | Jun 12, 2022 | |
Lua | 4 | Implements an efficient softmax approximation as described in the paper "Efficient softmax approximation for GPUs" … | May 03, 2020 | |
Python | 9 | Learning algorithm described in "A New PAC-Bayesian Perspective on Domain Adaptation" (see http://arxiv.org/abs/1506.04573) | Jan 01, 2021 | |
Python | 22 | Handwriting generation and handwriting synthesis as described in Alex Graves's paper https://arxiv.org/abs/1308.0850. Pytorch implementation. | May 06, 2023 | |
Jupyter Notebook | 50 | Code for the paper https://arxiv.org/abs/2003.00827 | Aug 30, 2022 | |
Python | 54 | The repository for paper https://arxiv.org/abs/1902.10840 | Mar 31, 2022 | |
Jupyter Notebook | 17 | Reproducing the results of https://arxiv.org/abs/1712.05790 | Sep 14, 2022 | |
Python | 14 | Implementation of the paper https://arxiv.org/abs/1603.00448. | Oct 06, 2022 | |
Python | 410 | Source code for models described in the paper "AudioCLIP: Extending CLIP to Image, Text and … | Oct 12, 2022 | |
None | 2 | Source code for models described in the paper "AudioCLIP: Extending CLIP to Image, Text and … | Mar 29, 2024 | |
Python | 42 | Holistic Evaluation of Language Models (HELM), a framework to increase the transparency of language models … | Nov 20, 2022 | |
Python | 5 | A platform for developing AI systems as described in A Roadmap towards Machine Intelligence - … | Dec 14, 2017 | |
None | 1330 | A platform for developing AI systems as described in A Roadmap towards Machine Intelligence - … | Jun 20, 2022 | |
Python | 22 | Source code for models described in the paper "ESResNet: Environmental Sound Classification Based on Visual … | Dec 27, 2022 | |
Jupyter Notebook | 68 | A keras (tensorflow) reimplementation of MUNIT: Multimodal Unsupervised Image-to-Image Translation https://arxiv.org/abs/1804.04732 | Jun 20, 2022 | |
Python | 32 | PassGAN source code for Python 3 & TensorFlow 1.13 with a pre-trained model. https://arxiv.org/abs/1709.00440 | Jul 11, 2022 | |
Python | 17 | Code for paper ["Exploring extreme parameter compression for pre-trained language models ICLR2022"](https://arxiv.org/abs/2205.10036) | Apr 20, 2023 | |
MATLAB | 3 | Code repo for the paper https://arxiv.org/abs/1809.05021 | Jul 15, 2020 | |
Jupyter Notebook | 4 | The code for artificial protomodelling, https://arxiv.org/abs/2012.12246 | Dec 14, 2022 | |
Jupyter Notebook | 5 | Applying the RUDDER paper (arxiv.org/abs/1806.07857) to Sonic. | Aug 06, 2018 | |
Jupyter Notebook | 3 | Python simulation for the paper https://arxiv.org/abs/1905.04708. | Nov 28, 2022 | |
MATLAB | 2 | Code for the experiments in https://arxiv.org/abs/2006.07340. | Jun 02, 2021 | |
Python | 156 | The state-of-art PyTorch implementation of the method described in the paper "LipNet: End-to-End Sentence-level Lipreading" … | Oct 13, 2022 | |
Jupyter Notebook | 258 | Code to synthesise textures using convolutional neural networks as described in Gatys et al. 2015 … | Oct 13, 2022 | |
Python | 4 | Source Code For Work Described In Paper: "Smart and Context-Aware System employing Emotions Recognition"(https://arxiv.org/abs/2106.15101) | Sep 28, 2022 | |
Python | 7 | PyTorch pre-trained model for real-time interest point detection, description, and sparse tracking (https://arxiv.org/abs/1712.07629) | Feb 14, 2020 | |
None | 2 | PyTorch pre-trained model for real-time interest point detection, description, and sparse tracking (https://arxiv.org/abs/1712.07629) | May 02, 2021 | |
Python | 1451 | PyTorch pre-trained model for real-time interest point detection, description, and sparse tracking (https://arxiv.org/abs/1712.07629) | Oct 18, 2022 | |
Python | 3 | PyTorch pre-trained model for real-time interest point detection, description, and sparse tracking (https://arxiv.org/abs/1712.07629) | Oct 19, 2021 | |
Python | 1631 | pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593 | Oct 17, 2022 |