metalearning | Topic | Ecosyste.ms: Repos

Topic: "metalearning"

automl/auto-sklearn

Automated Machine Learning with scikit-learn

Language: Python - Size: 121 MB - Last synced at: 5 days ago - Pushed at: 28 days ago - Stars: 7,890 - Forks: 1,306

learnables/learn2learn

A PyTorch Library for Meta-learning Research

Language: Python - Size: 9.52 MB - Last synced at: about 2 hours ago - Pushed at: about 1 year ago - Stars: 2,814 - Forks: 363

sudharsan13296/Awesome-Meta-Learning

A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.

Size: 105 KB - Last synced at: 1 day ago - Pushed at: over 4 years ago - Stars: 1,540 - Forks: 298

sudharsan13296/Hands-On-Meta-Learning-With-Python

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

Language: Jupyter Notebook - Size: 27.3 MB - Last synced at: 2 months ago - Pushed at: almost 4 years ago - Stars: 1,202 - Forks: 360

kjunelee/MetaOptNet

Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)

Language: Python - Size: 2.78 MB - Last synced at: 4 months ago - Pushed at: 12 months ago - Stars: 533 - Forks: 97

g1910/HyperNetworks

PyTorch implementation of HyperNetworks (Ha et al., ICLR 2017) for ResNet (Residual Networks)

Language: Python - Size: 550 KB - Last synced at: 3 months ago - Pushed at: over 4 years ago - Stars: 266 - Forks: 40

dragen1860/MAML-TensorFlow

Faster and elegant TensorFlow Implementation of paper: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

Language: Python - Size: 214 KB - Last synced at: 4 months ago - Pushed at: about 3 years ago - Stars: 205 - Forks: 70

khurramjaved96/mrcl

Code for the NeurIPS19 paper "Meta-Learning Representations for Continual Learning"

Language: Python - Size: 1.62 MB - Last synced at: 3 months ago - Pushed at: 12 months ago - Stars: 201 - Forks: 26

gabrielhuang/reptile-pytorch

A PyTorch implementation of OpenAI's REPTILE algorithm

Language: Jupyter Notebook - Size: 260 KB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 198 - Forks: 38

ealcobaca/pymfe

Python Meta-Feature Extractor package.

Language: Python - Size: 1.8 MB - Last synced at: 8 days ago - Pushed at: about 1 year ago - Stars: 133 - Forks: 29

HLTCHKUST/PAML

Personalizing Dialogue Agents via Meta-Learning

Language: Jupyter Notebook - Size: 30.8 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 128 - Forks: 23

navneet-nmk/Hierarchical-Meta-Reinforcement-Learning

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

Language: Python - Size: 21.6 MB - Last synced at: 9 months ago - Pushed at: about 6 years ago - Stars: 60 - Forks: 4

hannw/sgrnn

Tensorflow implementation of Synthetic Gradient for RNN (LSTM)

Language: Python - Size: 4.15 MB - Last synced at: almost 2 years ago - Pushed at: over 7 years ago - Stars: 40 - Forks: 9

DrSasanBarak/metats

MetaTS | Time Series Forecasting using Meta Learning

Language: Python - Size: 922 KB - Last synced at: 12 months ago - Pushed at: almost 2 years ago - Stars: 37 - Forks: 4

steventango/jumpstart-rl

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

Language: Python - Size: 32.2 KB - Last synced at: 5 days ago - Pushed at: over 1 year ago - Stars: 32 - Forks: 2

dscolby/CausalELM.jl

Taking causal inference to the extreme!

Language: Julia - Size: 3.17 MB - Last synced at: 2 days ago - Pushed at: 7 months ago - Stars: 31 - Forks: 1

ashishpatel26/Meta-Learning-

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

Size: 15.6 KB - Last synced at: 2 months ago - Pushed at: about 6 years ago - Stars: 27 - Forks: 5

cvqluu/dropclass_speaker

DropClass and DropAdapt - repository for the paper accepted to Speaker Odyssey 2020

Language: Python - Size: 178 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 21 - Forks: 13

catnlp/metaLSTM

Meta Learning for LSTM

Language: Python - Size: 1.11 MB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 20 - Forks: 5

yuan-yin/CoDA

Generalizing to New Physical Systems via Context-Informed Dynamics Model

Language: Python - Size: 28.3 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 18 - Forks: 2

Baijiong-Lin/MOML

[NeurIPS 2021 | AIJ 2024] Multi-Objective Meta Learning

Language: Python - Size: 250 KB - Last synced at: 3 months ago - Pushed at: 12 months ago - Stars: 14 - Forks: 2

rovle/gpt3-in-context-fitting

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

Language: Jupyter Notebook - Size: 2.04 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 14 - Forks: 0

seujung/SNAIL-gluon

Implementation of SNAIL(A Simple Neural Attentive Meta-Learner) with Gluon

Language: Python - Size: 16.5 MB - Last synced at: 4 months ago - Pushed at: over 6 years ago - Stars: 12 - Forks: 0

RobinKa/MetaVAE

Meta-learning by applying MAML to an inner variational auto-encoder to automatically learn generative models with few examples

Language: Python - Size: 72.3 KB - Last synced at: 5 days ago - Pushed at: over 6 years ago - Stars: 10 - Forks: 0

ealcobaca/meta-padawan Fork of ebadrian/metadl

Meta-Padawan solution to the NeurIPS (2021) - Few-shot learning competition.

Language: Python - Size: 936 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 9 - Forks: 0

Model-Agnostic Meta-Learning for HDR Image Reconstruction. By learning the common structure between all LDR-to-HDR conversion tasks, our model is able to adapt it's predictions given extra exposures of a scene. This novel approach reframes LDR-to-HDR conversion as a meta-learning problem.

Language: Python - Size: 16.3 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 9 - Forks: 3

marlesson/meta-bandit-selector

The Contextual Meta-Bandit (CMB) can be used to select models using the context with online learning based on Reiforcement Learning problem. It's can be used for recommender system ensemble, A/B test, and other dynamic model selector problem.

Language: Jupyter Notebook - Size: 1.95 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 9 - Forks: 3

SewoongLab/RobustMetaLearningMLR

This project contains the code for the paper accepted at NeurIPS 2020 - Robust Meta-learning for Mixed Linear Regression with Small Batches.

Language: Python - Size: 13.7 KB - Last synced at: almost 2 years ago - Pushed at: almost 5 years ago - Stars: 7 - Forks: 3

anas-zafar/agi-cognitive-foundations

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"

Size: 179 KB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 6 - Forks: 0

haghish/autoEnsemble

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

Language: R - Size: 945 KB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 6 - Forks: 2

srikarym/FiLM-for-Meta-Learning

Language: Python - Size: 1.82 MB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 5 - Forks: 0

karthik-d/few-shot-dermoscopic-image-analysis

Skin lesion image analysis that draws on meta-learning to improve performance in the low data and imbalanced data regimes.

Language: Python - Size: 738 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 4 - Forks: 2

Panshark/COLA

Source code for Self-Adaptive Driving in Nonstationary Environments through Conjectural Online Lookahead Adaptation

Language: Python - Size: 8.89 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 0

XoriieInpottn/maml-pytorch

MAML implementation in PyTorch.

Language: Python - Size: 90.8 KB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 4 - Forks: 2

bkj/mammoth

Hyperparameter tuning via gradient descent

Language: Python - Size: 130 KB - Last synced at: about 1 month ago - Pushed at: over 6 years ago - Stars: 4 - Forks: 0

martinkersner/maml

Implementation of "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

Language: Python - Size: 32.2 KB - Last synced at: 4 months ago - Pushed at: over 7 years ago - Stars: 4 - Forks: 3

arvintashakori/SemiPFL

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

Language: Python - Size: 1.67 GB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 2

meowpunch/LENNA

Latency Estimation for Neural Network Architecture

Language: Python - Size: 183 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0

csiro-robotics/MDL

🔥[IEEE TPAMI 2023] Official repository TPAMI 2023 paper "Exploiting Field Dependencies for Learning on Categorical Data"

Language: Python - Size: 10.7 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0

ZhexiongLiu/Task-Adaptive-Meta-Learning

Paper: Task-Adaptive Meta-Learning Framework for Advancing Spatial Generalizability.

Language: Python - Size: 24.4 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0

NonlinearArtificialIntelligenceLab/jaxDiversity

Jax implementation of metalearning diversity paper

Language: Jupyter Notebook - Size: 1.74 MB - Last synced at: 7 months ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 0

NonlinearArtificialIntelligenceLab/DiversityNN

Code Repository for "Neural networks embrace diversity" paper

Language: Python - Size: 6.45 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 0

theislab/scPoli_legacy

scPoli legacy code for reproducibility

Language: Python - Size: 112 MB - Last synced at: 7 months ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

Ankur3107/GitHub-Bugs-Prediction-Challenge

Predict the bugs, features, and questions based on GitHub text data.

Language: Jupyter Notebook - Size: 1.41 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0

dijin1000/Automated-Machine-Learning

A toy project on a Automated Machine Learning technique called linear meta learning

Language: Python - Size: 31.3 KB - Last synced at: over 2 years ago - Pushed at: almost 6 years ago - Stars: 2 - Forks: 0

wangy8989/FinPFN-classifier

Financial Prior-Data Fitted Network (classification)

Language: Jupyter Notebook - Size: 126 MB - Last synced at: 10 days ago - Pushed at: 6 months ago - Stars: 1 - Forks: 1

AdamClarkStandke/Emerging-Neural-Network-Models

Will be implementing and detailing emerging Neural network models such as GNN, Meta-Learning and Memory Augmented models that are still being actively researched and developed to overcome the traditional limitations of Deep learning

Language: Jupyter Notebook - Size: 8.79 KB - Last synced at: 9 days ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

Unique-Divine/Commonplace-Book

Language: TeX - Size: 78.3 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

Temiloluwa/leo_segmentation

This repository is the code base for the project titled Latent Embedding Optimization for Few-shot Segmentation.

Language: Python - Size: 2.5 GB - Last synced at: 23 days ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 3

Panshark/Attack_metaRL

Attacking on Meta Reinforcement Learning in Pytorch

Language: Python - Size: 6.28 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

ajayarunachalam/meta-self-learner

Meta Ensemble Self-Learning Model with Optimization

Language: Jupyter Notebook - Size: 1010 KB - Last synced at: 27 days ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 1

QasimWani/DAML

Pseudocode Implementation of DAML, Domain Adaptive Dialog Generation via Meta Learning

Language: Python - Size: 2.32 MB - Last synced at: 2 months ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

lschlessinger1/MS-project

Master's Project

Language: Jupyter Notebook - Size: 4.03 MB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 1

bkj/ezml

Very simple MAML-like metalearning baseline

Language: Julia - Size: 2 MB - Last synced at: about 1 month ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0

imtanmay46/Meta-Learning

NumerAi Stock Prediction Challenge

Language: Jupyter Notebook - Size: 7.13 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

krish567366/automl_self_improvement

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.

Language: Python - Size: 10.7 KB - Last synced at: 23 days ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

QuantLet/Meta_Learning_Monitoring_Source_Code Fork of lizzzi111/Meta_Learning_Monitoring_Source_Code

Meta-Learning for Monitoring in Code Summarization Systems

Language: Jupyter Notebook - Size: 49.9 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

pritamgouda11/Editing-Techniques-Across-LLM-Architectures

This project investigates model editing techniques for Large Language Models (LLMs), focusing on how these models can be modified in specific domains without compromising overall performance.

Language: Jupyter Notebook - Size: 491 KB - Last synced at: 15 days ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

DannongXu28/MatchingMethods_Underwater_Images

This code is for the honour thesis developed by Dannong Xu. It includes CTNet (developed algorithm in the thesis), Siamese Network, MAML, and Reptile.

Language: Python - Size: 377 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

ioverho/meta-learning-gnns-1 Fork of rahelbeloch/meta-learning-gnns

A project implementing better evaluation scenarios for community models for malicious content detection, and meta-learning GNNs to achieve better downstream adaptation.

Language: Jupyter Notebook - Size: 2.09 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

0M1J/TinyData-Classification

Image classification with very few data sample (n=25 per class)

Language: Jupyter Notebook - Size: 1.35 MB - Last synced at: 6 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

qqplot/ugotme

Uncertainty-Guided Online Test-time Adaptation via Meta-Learning

Language: Python - Size: 5.2 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

kalexandriabond/metaloki

Latent graphs (reward landscapes). Can humans learn them? How?

Language: Jupyter Notebook - Size: 5.37 MB - Last synced at: 4 days ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

qqplot/arm Fork of henrikmarklund/arm

I'm now interested in Learning to Adapt to Domain Shift

Language: Python - Size: 5.22 MB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0