Stars
185
Forks
54
Language
Python
Last Updated
Mar 31, 2024
Similar Repos
Repo | Language | Stars | Description | Updated At |
---|---|---|---|---|
Python | 84 | Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686 | Oct 17, 2022 | |
Python | 31 | Code for paper "Model-based Adversarial Meta-Reinforcement Learning" (https://arxiv.org/abs/2006.08875) | Oct 02, 2022 | |
Jupyter Notebook | 3 | [ICCV19] AdaptIS: Adaptive Instance Selection Network, https://arxiv.org/abs/1909.07829 | Dec 16, 2021 | |
Jupyter Notebook | 331 | [ICCV19] AdaptIS: Adaptive Instance Selection Network, https://arxiv.org/abs/1909.07829 | Aug 20, 2022 | |
Python | 21 | Code for "Meta Learning Backpropagation And Improving It" @ NeurIPS 2021 https://arxiv.org/abs/2012.14905 | Nov 26, 2022 | |
Python | 50 | MELD: Meta-Reinforcement Learning from Images via Latent State Models https://arxiv.org/abs/2010.13957 | Sep 11, 2022 | |
Python | 82 | Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098) | Sep 15, 2022 | |
Python | 8 | PyTorch implementation of the "Learning an Adaptive Learning Rate Schedule" paper found here: https://arxiv.org/abs/1909.09712. | Apr 05, 2022 | |
Python | 89 | Context-Aware Visual Compatibility Prediction (https://arxiv.org/abs/1902.03646) | Sep 20, 2022 | |
Python | 26 | An implementation of End to End Learning for Self-Driving Cars https://arxiv.org/abs/1604.07316 and visualize the cnn … | Mar 23, 2022 | |
Python | 7 | Simpler Transfer Learning (Using "Bellwethers"). ARXIV link: https://arxiv.org/abs/1703.06218 | Jul 01, 2021 | |
Python | 18 | CoLa - Decentralized Linear Learning: https://arxiv.org/abs/1808.04883 | Feb 19, 2022 | |
Jupyter Notebook | 2 | self assembling neural network using circuits, some similarities in : https://arxiv.org/abs/1511.02799 | Jan 27, 2022 | |
Python | 74 | Neat implementation of Meta-SGD in pytorch: https://arxiv.org/abs/1707.09835 | Sep 13, 2022 | |
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 | Self Attention GAN (https://arxiv.org/abs/1805.08318) implemented with keras | Aug 24, 2022 | |
Python | 188 | Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459) | Oct 12, 2022 | |
Python | 23 | 3D CNNs with Adaptive Temporal Feature Resolutions (CVPR2021) https://arxiv.org/abs/2011.08652 | Jun 24, 2022 | |
Python | 2 | https://arxiv.org/abs/2003.10120 | Feb 03, 2021 | |
Python | 3 | https://arxiv.org/abs/2201.06499 | May 23, 2022 | |
None | 16 | https://arxiv.org/abs/2010.14660 | May 02, 2022 | |
Python | 122 | https://arxiv.org/abs/1904.01941 | Oct 16, 2022 | |
Jupyter Notebook | 125 | https://arxiv.org/abs/2107.12518 | Aug 31, 2022 | |
Python | 37 | https://arxiv.org/abs/1706.04972 | Sep 24, 2022 | |
Python | 65 | https://arxiv.org/abs/2005.10497 | Sep 11, 2022 | |
Python | 21 | https://arxiv.org/abs/2009.01561 | Oct 10, 2022 | |
None | 16 | https://arxiv.org/abs/2102.11439 | Jul 22, 2022 | |
Jupyter Notebook | 21 | https://arxiv.org/abs/1707.00836 | Nov 18, 2021 | |
Python | 32 | https://arxiv.org/abs/2104.13464 | Sep 15, 2022 | |
Jupyter Notebook | 10 | https://arxiv.org/abs/2006.04992 | Oct 07, 2022 | |
Python | 16 | https://arxiv.org/abs/1711.05101 | Aug 02, 2022 | |
Python | 5 | https://arxiv.org/abs/1606.00704 | Jan 13, 2021 | |
Python | 84 | https://arxiv.org/abs/1805.01104 | Oct 15, 2022 | |
Python | 69 | https://arxiv.org/abs/2302.11813 | Apr 26, 2023 | |
None | 35 | https://arxiv.org/abs/2211.08469 | Apr 15, 2023 | |
Python | 13 | https://arxiv.org/abs/2008.13065 | Feb 28, 2023 | |
Python | 2 | https://arxiv.org/abs/2106.08072 | Jun 08, 2022 | |
Python | 7 | https://arxiv.org/abs/1606.01781 | Jan 12, 2018 | |
Jupyter Notebook | 15 | https://arxiv.org/abs/2005.05207 | Aug 22, 2022 | |
Python | 8 | https://arxiv.org/abs/2009.14786 | Nov 16, 2022 | |
None | 5 | https://arxiv.org/abs/2305.09731 | May 22, 2023 | |
Python | 18 | MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning (https://arxiv.org/abs/2310.08252) | Oct 14, 2023 | |
Python | 5 | DARTS (https://arxiv.org/abs/1806.09055) combined with UNIQ (https://arxiv.org/abs/1804.10969) | Jan 21, 2020 | |
Python | 6 | Implementation for paper "Towards the Generalization of Contrastive Self-Supervised Learning" (https://arxiv.org/abs/2111.00743) | Jun 06, 2022 | |
Python | 72 | PyTorch implementation of EMAN for self-supervised and semi-supervised learning: https://arxiv.org/abs/2101.08482 | Aug 16, 2022 | |
Python | 6 | Official implementation of paper "Matrix Information Theory for Self-supervised Learning" (https://arxiv.org/abs/2305.17326) | Jan 05, 2024 | |
Python | 144 | Code associated with our paper "Learning Visuomotor Policies for Aerial Navigation Using Cross-Modal Representations": https://arxiv.org/abs/1909.06993 | Aug 01, 2022 | |
Jupyter Notebook | 7 | Solving PDEs using Deep learning Code Associated with https://arxiv.org/abs/2011.10015 | Jan 15, 2023 | |
Python | 2 | https://arxiv.org/abs/2105.07562, Power-grid stability predictions using transferable machine learning | Feb 27, 2022 | |
Python | 3 | Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088 | Aug 13, 2021 |