Stars
230
Forks
57
Language
Python
Last Updated
Jul 21, 2023
Similar Repos
Repo | Language | Stars | Description | Updated At |
---|---|---|---|---|
Python | 22 | Code for paper https://arxiv.org/abs/2102.13186 | Sep 23, 2022 | |
Python | 121 | Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470 | Oct 03, 2022 | |
Python | 6 | code for uai2017 paper: https://arxiv.org/abs/1704.06131 | Apr 06, 2021 | |
OpenEdge ABL | 9 | code for icml paper: https://arxiv.org/abs/1711.03243v3 | Jul 20, 2020 | |
Jupyter Notebook | 50 | Code for the paper https://arxiv.org/abs/2003.00827 | Aug 30, 2022 | |
Python | 36 | ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341 | Apr 25, 2023 | |
Python | 16 | Code for CIKM 2021 paper: Differentially Private Federated Knowledge Graphs Embedding (https://arxiv.org/abs/2105.07615) | Feb 13, 2022 | |
Python | 155 | Source code for the paper "Hyperbolic Neural Networks", https://arxiv.org/abs/1805.09112 | Oct 17, 2022 | |
Python | 53 | Paper: https://arxiv.org/abs/1702.02285 | Aug 29, 2022 | |
Jupyter Notebook | 21 | paper: https://arxiv.org/abs/2110.08037 | Apr 22, 2023 | |
Python | 155 | Code and data for paper: https://arxiv.org/abs/1802.07101 | Sep 26, 2022 | |
MATLAB | 3 | Code repo for the paper https://arxiv.org/abs/1809.05021 | Jul 15, 2020 | |
Python | 128 | Code for ICRA 2021 paper: https://arxiv.org/abs/2012.03385 | Apr 25, 2023 | |
C++ | 25 | Code for IROS 2020 paper: https://arxiv.org/abs/1910.04854 | Feb 10, 2023 | |
Python | 3 | Code for Kinematic Highway paper (https://arxiv.org/abs/2103.16673) | Aug 02, 2022 | |
CSS | 2 | Code for our paper "CliqueCNN: Deep Unsupervised Exemplar Learning" https://arxiv.org/abs/1608.08792 | Sep 03, 2022 | |
CSS | 23 | Code for our paper "CliqueCNN: Deep Unsupervised Exemplar Learning" https://arxiv.org/abs/1608.08792 | Sep 11, 2022 | |
Python | 31 | Code for paper "Model-based Adversarial Meta-Reinforcement Learning" (https://arxiv.org/abs/2006.08875) | Oct 02, 2022 | |
Python | 67 | Source code of Neural Logic Reinforcement Learning (https://arxiv.org/abs/1904.10729) | Sep 27, 2022 | |
Python | 46 | Code for Canonne-Kamath-Steinke paper https://arxiv.org/abs/2004.00010 | Jul 05, 2022 | |
Python | 343 | code for the SE3 Transformers paper: https://arxiv.org/abs/2006.10503 | Oct 14, 2022 | |
Python | 8 | Code to accompany NeurIPS paper https://arxiv.org/abs/2006.08564 | Feb 07, 2023 | |
Python | 111 | Source code for the ICML'18 paper "Hyperbolic Entailment Cones for Learning Hierarchical Embeddings", https://arxiv.org/abs/1804.01882 | Oct 10, 2022 | |
Python | 7 | Paper link: https://arxiv.org/abs/2001.01431 | Aug 11, 2022 | |
Python | 22 | Official repository for the paper "Partition and Code: learning how to compress graphs" (NeurIPS'21) https://arxiv.org/abs/2107.01952 | Sep 03, 2022 | |
Python | 3 | Code for Off The Beaten Sidewalk paper (https://arxiv.org/abs/2006.00962) | Mar 23, 2023 | |
Python | 337 | Code for https://arxiv.org/abs/1611.10080 | Oct 17, 2022 | |
Shell | 139 | Code for https://arxiv.org/abs/1703.05693 | May 29, 2022 | |
Python | 141 | Code for https://arxiv.org/abs/1810.04622 | Aug 07, 2022 | |
Python | 16 | Code for https://arxiv.org/abs/1712.00254 | Dec 08, 2021 | |
Python | 122 | Code for the paper "True Few-Shot Learning in Language Models" (https://arxiv.org/abs/2105.11447) | Oct 05, 2022 | |
C++ | 60 | Code accompanying the CVPR 2019 paper: https://arxiv.org/abs/1812.04155 | Oct 06, 2022 | |
Python | 54 | The repository for paper https://arxiv.org/abs/1902.10840 | Mar 31, 2022 | |
Jupyter Notebook | 726 | A multi-task learning example for the paper https://arxiv.org/abs/1705.07115 | Oct 17, 2022 | |
Python | 27 | Remplementation of paper https://arxiv.org/abs/1705.08665 | Oct 02, 2022 | |
Python | 22 | Implement the paper: https://arxiv.org/abs/1907.05321 | Sep 27, 2022 | |
Jupyter Notebook | 39 | implementation of paper https://arxiv.org/abs/2210.04559 | Apr 08, 2023 | |
Python | 110 | The demo code for the MLDG paper "Learning to Generalize: Meta-Learning for Domain Generalization", https://arxiv.org/abs/1710.03463, … | Oct 13, 2022 | |
Python | 18 | (SIGKDD 2022) Connected Low-Loss Subspace Learning for a Personalization in Federated Learning (https://arxiv.org/abs/2109.07628) | Apr 21, 2023 | |
Cuda | 6080 | Code and data for paper "Deep Painterly Harmonization": https://arxiv.org/abs/1804.03189 | Oct 16, 2022 | |
Python | 7 | CV2 and OpenVINO demo code for the paper https://arxiv.org/abs/1804.06208 | Jan 28, 2023 | |
Jupyter Notebook | 4 | Code for the results of the paper at https://arxiv.org/abs/1805.07601 | Nov 17, 2022 | |
Python | 214 | paper: https://arxiv.org/abs/2307.02469 page: https://lynx-llm.github.io/ | Jan 04, 2024 | |
Python | 38 | Contains code relating to this arxiv paper https://arxiv.org/abs/1802.03761 | Sep 01, 2022 | |
Jupyter Notebook | 3 | Python simulation for the paper https://arxiv.org/abs/1905.04708. | Nov 28, 2022 | |
Python | 10 | Reference code for https://arxiv.org/abs/1906.08879 | Oct 13, 2022 | |
Lua | 3 | Source Codes for reproducing the results in the paper: https://arxiv.org/abs/1703.03821 | Jul 11, 2020 | |
Python | 74 | Official code for the paper "Task2Vec: Task Embedding for Meta-Learning" (https://arxiv.org/abs/1902.03545, ICCV 2019) | Jul 30, 2022 | |
Jupyter Notebook | 36 | Source code for Deep Fundamental Factor Models, https://arxiv.org/abs/1903.07677 | Jul 29, 2022 | |
Python | 7 | [WORK IN PROGRESS!!] Unofficial source code for https://arxiv.org/abs/1907.03950 | Aug 10, 2022 |