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    33 repositories

    • ptgood

      Public
      Official repository for "Planning to Go Out-of-Distribution in Offline-to-Online Reinforcement Learning"
      Python
      •
      Apache License 2.0
      •0•1•0•0•Updated Aug 5, 2024Aug 5, 2024

    • codellmpersonalize

      Public
      code for the llm personalize project
      Python
      •
      MIT License
      •0•0•0•0•Updated May 1, 2024May 1, 2024

    • RL-GATE

      Public template
      Jupyter Notebook
      •
      MIT License
      •2•0•3•0•Updated Apr 10, 2024Apr 10, 2024

    • kubeproject

      Public
      A set of tools built to simplify daily driving of cloud resources for individual VM access, Kubernetes batch jobs and miscellaneous useful functionality related to cloud-based ML research
      Python
      •
      MIT License
      •0•1•0•0•Updated May 24, 2023May 24, 2023

    • CAP-IT

      Public
      Python
      •
      MIT License
      •1•0•0•0•Updated Apr 6, 2023Apr 6, 2023

    • learn2learn

      Public
      A PyTorch Library for Meta-learning Research
      Python
      •
      MIT License
      •355•0•0•0•Updated Feb 21, 2023Feb 21, 2023

    • POEM-Bench

      Public template
      Welcome to GATE - Generalization After Transfer Evaluation - A framework built to evaluate a learning process on its ability to learn and generalize on previously unseen Tasks, Data domains and Modalities.
      Python
      •
      MIT License
      •2•0•0•0•Updated Feb 1, 2023Feb 1, 2023

    • outline

      Public
      The fastest knowledge base for growing teams. Beautiful, realtime collaborative, feature packed, and markdown compatible.
      TypeScript
      •
      Other
      •2.3k•0•0•0•Updated Jan 24, 2023Jan 24, 2023

    • MLProjectTemplate2022

      Public
      Python
      •1•1•0•0•Updated Oct 12, 2022Oct 12, 2022

    • deep-kernel-transfer

      Public
      Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)
      kernelpaperregressionuncertaintybayesian-methodsclassificationkernel-methodsone-shot-learninguncertainty-quantificationgaussian-processes
      Python
      •29•201•2•0•Updated Jan 19, 2022Jan 19, 2022

    • sequential-imagenet-dataloader

      Public
      A plug-in replacement for DataLoader to load Imagenet disk-sequentially in PyTorch.
      deep-learningpytorchimagenet
      Python
      •
      MIT License
      •22•238•4•0•Updated Aug 18, 2021Aug 18, 2021

    • mpl_sizes

      Public
      Match your fig size and font to conference formats.
      latexpythonmatplotlibplotting
      Python
      •0•11•0•0•Updated Aug 16, 2021Aug 16, 2021

    • nas-without-training

      Public
      Code for Neural Architecture Search without Training (ICML 2021)
      Python
      •63•463•8•0•Updated Aug 6, 2021Aug 6, 2021

    • pytorch-experiments-template

      Public template
      A pytorch based classification experiments template
      Python
      •
      GNU General Public License v3.0
      •7•6•7•0•Updated Jun 11, 2021Jun 11, 2021

    • pytorch-experiments-template-docs

      Public
      Documentation for the pytorch-experiments-template repo
      Python
      •
      Apache License 2.0
      •0•0•0•0•Updated May 4, 2021May 4, 2021

    • pytorch-blockswap

      Public
      Code for BlockSwap (ICLR 2020).
      Python
      •
      MIT License
      •4•33•1•0•Updated Mar 25, 2021Mar 25, 2021

    • cinic-10

      Public
      A drop-in replacement for CIFAR-10.
      Jupyter Notebook
      •
      MIT License
      •22•236•2•1•Updated Mar 7, 2021Mar 7, 2021

    • mini-nasbench-201

      Public
      Python
      •
      MIT License
      •0•1•0•0•Updated Feb 26, 2021Feb 26, 2021

    • self-supervised-relational-reasoning

      Public
      Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.
      Python
      •
      MIT License
      •24•1•0•0•Updated Feb 10, 2021Feb 10, 2021

    • deficient-efficient

      Public
      Successfully training approximations to full-rank matrices for efficiency in deep learning.
      Python
      •
      MIT License
      •3•16•0•0•Updated Jan 5, 2021Jan 5, 2021

    • FewShotContinualLearning

      Public
      The original code for the paper "Benchmarks for Continual Few-Shot Learning".
      Python
      •
      MIT License
      •5•0•0•0•Updated Aug 18, 2020Aug 18, 2020

    • FewShotContinualLearningDataProvider

      Public
      The original code for the data providers and the datasets of the paper "Defining Benchmarks for Continual Few-Shot Learning".
      Python
      •
      Other
      •1•0•0•0•Updated Apr 15, 2020Apr 15, 2020

    • pytorch-prunes

      Public
      Code for https://arxiv.org/abs/1810.04622
      Python
      •
      MIT License
      •20•140•1•0•Updated Aug 28, 2019Aug 28, 2019

    • Learning_to_Learn_via_Self-Critique

      Public
      The original code for the paper "Learning to Learn via Self-Critique".
      Python
      •
      MIT License
      •8•0•0•0•Updated Aug 10, 2019Aug 10, 2019

    • HowToTrainYourMAMLPytorch

      Public
      The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.
      Python
      •
      MIT License
      •138•0•0•0•Updated Mar 29, 2019Mar 29, 2019

    • pytorch-GENet

      Public
      A Pytorch implementation of https://arxiv.org/abs/1810.12348.
      Python
      •
      MIT License
      •7•36•1•0•Updated Feb 19, 2019Feb 19, 2019

    • pytorch-moonshine

      Public
      Cheap distillation for convolutional neural networks.
      Python
      •
      MIT License
      •5•33•1•0•Updated Oct 22, 2018Oct 22, 2018

    • torch-dct

      Public archive
      Moved to: https://github.com/gngdb/pytorch-acdc
      Python
      •
      MIT License
      •72•0•0•0•Updated Oct 15, 2018Oct 15, 2018

    • DAGAN

      Public
      DAGAN: Data Augmentation Generative Adversarial Networks
      Python
      •
      MIT License
      •103•0•0•0•Updated May 14, 2018May 14, 2018

    • Tutorial_BayesianCompressionForDL

      Public
      A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).
      Python
      •
      MIT License
      •48•0•0•0•Updated Jan 25, 2018Jan 25, 2018