A PyTorch reimplementation of MAML, replicating some of the experiments from the paper.
☆44Sep 19, 2018Updated 7 years ago
Alternatives and similar repositories for maml-pytorch
Users that are interested in maml-pytorch are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A Pytorch implementation of MAML☆61Jan 23, 2023Updated 3 years ago
- ☆32Nov 22, 2022Updated 3 years ago
- Implementation of the paper "Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory", Ron Amit and Ron Meir, ICML 2018☆22Oct 30, 2019Updated 6 years ago
- [NeurIPS 2020 Spotlight Oral] "Training Stronger Baselines for Learning to Optimize", Tianlong Chen*, Weiyi Zhang*, Jingyang Zhou, Shiyu …☆29Dec 30, 2021Updated 4 years ago
- Meta learning is a subfield of machine learning where automatic learning algorithms are applied on metadata about machine learning experi…☆29Jun 13, 2019Updated 7 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- A study on the following problems: what the memorization problem is in meta-learning; why memorization problem happens; and how we can pr…☆21Mar 24, 2023Updated 3 years ago
- MetaMix for ICML 2021☆27Jun 9, 2021Updated 5 years ago
- Machine Learning Course From Scratch☆13Jul 24, 2024Updated last year
- Meta-learning Gaussian process (GP) priors via PAC-Bayes bounds☆26Jan 25, 2024Updated 2 years ago
- Code and paper repository for the ICML paper "Learning population level diffusions with generative recurrent networks"☆11May 26, 2016Updated 10 years ago
- Dirichlet Process Mixture Models in Julia☆14May 31, 2016Updated 10 years ago
- An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta☆240Jul 7, 2020Updated 5 years ago
- Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)☆2,479May 16, 2019Updated 7 years ago
- an implementation of elastic band method for robot navigation problem☆10Sep 19, 2017Updated 8 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆44Nov 10, 2020Updated 5 years ago
- Codes for "Understanding and Accelerating Particle-Based Variational Inference" (ICML-19)☆22Nov 17, 2019Updated 6 years ago
- ☆69Sep 21, 2020Updated 5 years ago
- Presentations of the advanced topics in optimization☆11Oct 30, 2019Updated 6 years ago
- A PyTorch implementation of Model Agnostic Meta-Learning (MAML) that faithfully reproduces the results from the original paper.☆245Sep 2, 2024Updated last year
- This project applies Monte Carlo Tree Search (MCTS) to a simple grid world.☆10May 30, 2018Updated 8 years ago
- A curated list of Meta-Learning resources/papers.☆553Dec 21, 2020Updated 5 years ago
- Implementation of different Relative Entropy Policy Search flavors☆13Nov 15, 2021Updated 4 years ago
- ☆13Aug 29, 2019Updated 6 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- pytorch implementation of SAC, TD3 and TD7 with Mujoco Benchmark results from 4 seeds.☆15Jul 4, 2024Updated last year
- [ACL 2024] "Understanding and Patching Compositional Reasoning in LLMs"☆14Aug 28, 2024Updated last year
- ☆13Jun 15, 2021Updated 5 years ago
- ☆12Feb 29, 2024Updated 2 years ago
- Neat implementation of Meta-SGD in pytorch: https://arxiv.org/abs/1707.09835☆93Apr 8, 2019Updated 7 years ago
- Query-focused summarization data☆44Feb 17, 2023Updated 3 years ago
- Tilting estimators for program evaluation for Python 3☆10Oct 31, 2019Updated 6 years ago
- This repository collects supplementary material to study reinforcement learning with a focus on topics covered by the TU Darmstadt IAS le…☆12Feb 11, 2019Updated 7 years ago
- Augmenting Time Series Datasets with Weighted Elastic Barycenter Averaging☆10Jun 2, 2025Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Code for Knowledge-Adaptation Priors based on the NeurIPS 2021 paper by Khan and Swaroop.☆17Feb 1, 2022Updated 4 years ago
- Zeroth-order Min-max Optimization☆13Jun 28, 2020Updated 5 years ago
- Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm☆44Nov 15, 2018Updated 7 years ago
- Implementation of the IAPI algorithm and a power-system real-time simulator, as described in "Hierarchical Decision Making In Electricity…☆13Sep 26, 2016Updated 9 years ago
- Mining Discriminative Components with Random Forests☆16Jun 13, 2016Updated 10 years ago
- PyTorch model of OpenFace☆12May 8, 2017Updated 9 years ago
- ☆10Jun 3, 2019Updated 7 years ago