A modular toolbox for meta-learning research with a focus on speed and reproducibility.
☆125Apr 13, 2023Updated 3 years ago
Alternatives and similar repositories for meta-blocks
Users that are interested in meta-blocks are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- (MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection)☆395Mar 24, 2025Updated last year
- Meta-Reinforcement Learning with Policy Residual Representation☆11Aug 15, 2019Updated 6 years ago
- Implementation of Model-Agnostic Meta-Learning (MAML) applied on Reinforcement Learning problems in TensorFlow 2.☆27May 11, 2021Updated 5 years ago
- Meta-SGD Algorithms Implementation☆22Jul 18, 2024Updated last year
- A dataset of datasets for learning to learn from few examples☆802May 24, 2024Updated last year
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.☆82Oct 23, 2021Updated 4 years ago
- Benchmark for Lifelong learning research☆117Aug 16, 2021Updated 4 years ago
- A Pytorch-based library to evaluate learning methods on small image classification datasets☆18Jun 22, 2022Updated 3 years ago
- ☆68Dec 14, 2022Updated 3 years ago
- The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) p…☆827Dec 5, 2023Updated 2 years ago
- [CVPR 2022] "The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy" by Tianlong C…☆25Mar 9, 2022Updated 4 years ago
- ☆13Feb 14, 2022Updated 4 years ago
- A PyTorch Library for Meta-learning Research☆2,882Dec 16, 2025Updated 5 months ago
- Inductive graph convolutional neural networks for few-shot learning text classification.☆16Apr 27, 2021Updated 5 years ago
- 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.
- A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch☆2,058Jul 17, 2023Updated 2 years ago
- Towards Visual Explanations for Convolutional Neural Networks via Input Resampling☆13Aug 16, 2017Updated 8 years ago
- A meta-learning framework for few-shot graph learning☆20Mar 1, 2023Updated 3 years ago
- Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"☆82Dec 16, 2020Updated 5 years ago
- MTM☆143Nov 23, 2022Updated 3 years ago
- Watch Face Description Language☆18Dec 25, 2019Updated 6 years ago
- This is the pytorch implementation of the UAI2023 paper "A Trajectory is Worth Three Sentences: Multimodal Transformer for Offline Reinf…☆11Oct 9, 2023Updated 2 years ago
- Reproduction of "Model-Agnostic Meta-Learning" (MAML) and "Reptile".☆189Mar 21, 2019Updated 7 years ago
- A general, modular, and programmable architecture search framework☆121Mar 24, 2023Updated 3 years ago
- 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.
- Federated posterior averaging implemented in JAX☆50Apr 13, 2023Updated 3 years ago
- A final project of the course "Algorithm Design and Analysis"☆16Dec 31, 2017Updated 8 years ago
- ☆65Jul 25, 2024Updated last year
- ☆15Dec 28, 2020Updated 5 years ago
- Interactive Toolbox for Robust Vision Classification☆43May 29, 2023Updated 2 years ago
- Code associated with the NeurIPS19 paper "Weighted Linear Bandits in Non-Stationary Environments"☆17Nov 14, 2019Updated 6 years ago
- Ludwig benchmark☆20May 11, 2026Updated last week
- Some papers on low-resource knowledge base population. (mostly from 2018 to 2020)☆20Mar 25, 2020Updated 6 years ago
- An SKLearn-style toolbox for estimating and analyzing models, distributions, and functions with context-specific parameters.☆77Mar 6, 2026Updated 2 months ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- The original code for the paper "Learning to Learn via Self-Critique".☆48Aug 10, 2019Updated 6 years ago
- Group-conditional DRO to alleviate spurious correlations☆15Jul 15, 2021Updated 4 years ago
- Code for "Zero-Shot Out-of-Distribution Detection with Feature Correlations"☆13Jan 19, 2020Updated 6 years ago
- Resources and environment for unsupervised outlier model selection (UOMS)☆28Oct 21, 2022Updated 3 years ago
- Code of our Neurips2020 paper "Auto Learning Attention", coming soon☆22Apr 14, 2021Updated 5 years ago
- Parsing Science Toolkit☆27Nov 14, 2017Updated 8 years ago
- A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.☆1,558Nov 24, 2020Updated 5 years ago