Popular GitHub Repositories for Metalearning

Automated Machine Learning with scikit-learn

A PyTorch Library for Meta-learning Research

Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

A PyTorch implementation of OpenAI's REPTILE algorithm

Personalizing Dialogue Agents via Meta-Learning

This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.

MetaTS | Time Series Forecasting using Meta Learning

Tensorflow implementation of Synthetic Gradient for RNN (LSTM)

Implementation of Jump-Start Reinforcement Learning (JSRL) with Stable Baselines3

Meta learning is a subfield of machine learning where automatic learning algorithms are applied on metadata about machine learning experiments.

The official GitHub page for the survey paper "Thinking Beyond Tokens: From Brain-Inspired Intelligence to Cognitive Foundations for Artificial General Intelligence and its Societal Impact"

Experiments on GPT-3's ability to fit numerical models in-context.

SemiPFL: Personalized Semi-Supervised Federated Learning Framework for Edge Intelligence

autoEnsemble : An AutoML Algorithm for Building Homogeneous and Heterogeneous Stacked Ensemble Models by Searching for Diverse Base-Learners

Latency Estimation for Neural Network Architecture

Metalearning for Hyperparameter Optimization

Code for the paper "Benchmarking AutoML solutions for Clusering"

A next-gen toolkit for autonomous machine learning that automatically optimizes models using reinforcement learning, evolutionary algorithms, and generative AI. Combines meta-learning for cross-task adaptation, hybrid hyperparameter tuning, and secure MLOps to accelerate AI deployment.

Slime Mold swarm optimization - efficient derivative free biologically inspired solver