Stars
26
Forks
7
Language
Python
Last Updated
Dec 20, 2023
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Python | 39 | Reward Learning by Simulating the Past | Jul 12, 2022 | |
Python | 6 | Code accompanying the ICLR 2021 paper "ResNet After All? Neural ODEs and Their Numerical Solution" | Jul 05, 2022 | |
Python | 104 | [ICLR 2021] Concept Learners for Few-Shot Learning | Apr 02, 2023 | |
Python | 114 | Code & data accompanying the ICLR 2020 paper "Reinforcement Learning Based Graph-to-Sequence Model for Natural … | May 02, 2023 | |
Python | 2 | Code for the paper HyperDynamics: Meta-Learning Object and Agent Dynamics with Hypernetworks (ICLR 2021). | Apr 05, 2023 | |
Python | 65 | [ICLR 2021] Zero-shot Synthesis with Group-Supervised Learning | Apr 13, 2023 | |
Python | 29 | Code for "Implicit Normalizing Flows" (ICLR 2021 spotlight) | Jun 17, 2022 | |
Jupyter Notebook | 300 | Code accompanying the Real-World Machine Learning book | Aug 29, 2022 | |
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R | 2 | Code accompanying the book "Machine Learning for Hackers" | Nov 16, 2021 | |
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R | 4 | Code accompanying the book "Machine Learning for Hackers" | May 27, 2019 | |
MATLAB | 5 | Source code & data accompanying Xing, Carbonetto & Stephens (2021). | May 05, 2022 | |
Python | 44 | Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322) | Aug 09, 2022 | |
Python | 68 | Code for the paper "Meta-Q-Learning"( ICLR 2020) | Aug 12, 2022 | |
Jupyter Notebook | 32 | ICLR 2021 Stats & Graphs | Dec 09, 2022 | |
Python | 10 | (ICLR 2021) ConstellationNet: Attentional Constellation Nets for Few-Shot Learning | Jun 12, 2022 | |
Python | 3 | [ICLR 2021] Anchor & Transform: Learning Sparse Embeddings for Large Vocabularies | Mar 18, 2022 | |
Python | 17 | PyTorch code accompanying the paper "Imitating Graph-Based Planning with Goal-Conditioned Policies" (ICLR 2023). | Apr 30, 2024 | |
Python | 29 | Official code for Coupled Oscillatory RNN (ICLR 2021, Oral) | Mar 31, 2023 | |
Python | 20 | Code for High-Capacity Expert Binary Networks (ICLR 2021). | Feb 13, 2023 | |
Jupyter Notebook | 29 | Code accompanying the "Debugging machine learning in production" talk | Jan 25, 2023 | |
None | 2 | R code for simulating data under different machine learning methods based on SMMR paper (2021) | Oct 30, 2021 | |
Python | 263 | source code for ICLR'22 paper "VOS: Learning What You Don’t Know by Virtual Outlier Synthesis" | Apr 11, 2023 | |
Python | 9 | Code for the ICLR 2019 paper "Learning to Represent Edits" | Oct 26, 2021 | |
Python | 16 | :test_tube: Learning Neural Generative Dynamics for Molecular Conformation Generation (ICLR 2021) | Apr 15, 2022 | |
Python | 42 | :test_tube: Learning Neural Generative Dynamics for Molecular Conformation Generation (ICLR 2021) | May 03, 2023 | |
Python | 29 | Code accompanying the NeurIPS 2020 submission "Teaching a GAN What Not to Learn." | Mar 04, 2023 | |
Python | 14 | (ICLR 2021) Learning to Represent Action Values as a Hypergraph on the Action Vertices | Jul 10, 2022 | |
Jupyter Notebook | 10 | Code repository complementing the ICLR 2021 paper "Unsupervised Object Keypoint Learning using Local Spatial Predictability" … | Nov 06, 2022 | |
Python | 92 | Code for the ICLR 2021 paper "A Distributional Approach to Controlled Text Generation" | Jul 25, 2022 | |
Python | 7 | Codes accompanying the paper "Offline Reinforcement Learning with Value-Based Episodic Memory" (ICLR 2022 https://arxiv.org/abs/2110.09796) | Jun 19, 2022 | |
Python | 16 | Code for the ICLR 2017 paper "What does it take to generate natural textures?" | Jul 27, 2022 | |
Python | 34 | Codes accompanying the paper "Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement … | Jun 20, 2022 | |
JavaScript | 9 | Accompanying repository for the SIGNAL 2021 Superclass Kickstart | Oct 20, 2021 | |
Python | 86 | [ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients | Apr 26, 2023 | |
Python | 9 | Official implementation of the ICLR 2021 paper "Differentiable Trust Region Layers for Deep Reinforcement Learning" | Mar 18, 2022 | |
Python | 20 | Code accompanying the “what does it mean to listen on a port” blog post. | Jul 11, 2022 | |
Java | 66 | source code accompanying "Deep Learning for Search" book | Oct 16, 2022 | |
Python | 34 | Code for our ICLR'2021 paper "DrNAS: Dirichlet Neural Architecture Search" | Aug 18, 2022 | |
Python | 24 | Codes accompanying the paper "Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling" (ICLR 2023) https://arxiv.org/abs/2209.14548 | May 08, 2023 | |
Python | 125 | Pytorch implementation of BRECQ, ICLR 2021 | Aug 04, 2022 | |
Python | 15 | Pytorch implementation of DGflow (ICLR 2021). | Aug 03, 2022 | |
Python | 200 | [ICLR 2021 Spotlight] A Good Image Generator Is What You Need for High-Resolution Video Synthesis | Aug 19, 2022 | |
Python | 255 | Code for Federated Learning with Matched Averaging, ICLR 2020. | Aug 02, 2022 | |
Python | 2 | Code for Federated Learning with Matched Averaging, ICLR 2020. | Jun 16, 2022 | |
R | 2 | Code accompanying the anticlustering manuscript | Jun 06, 2023 | |
Jupyter Notebook | 58 | Source code for the examples accompanying the paper "Learning convex optimization control policies." | Jun 28, 2022 | |
Python | 58 | Source code for Fathony, Sahu, Willmott, & Kolter, "Multiplicative Filter Networks", ICLR 2021. | Aug 12, 2022 | |
Jupyter Notebook | 1300 | Source code accompanying O'Reilly book: Machine Learning Design Patterns | Aug 11, 2022 |