An open API service providing repository metadata for many open source software ecosystems.

GitHub topics: meta-learning

EnnengYang/Awesome-Forgetting-in-Deep-Learning

A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. TPAMI, 2024.

Size: 438 KB - Last synced at: about 10 hours ago - Pushed at: about 12 hours ago - Stars: 299 - Forks: 13

automl/auto-sklearn

Automated Machine Learning with scikit-learn

Language: Python - Size: 121 MB - Last synced at: about 18 hours ago - Pushed at: 4 months ago - Stars: 7,823 - Forks: 1,298

beiyuouo/arxiv-daily

🎓 Automatically Update Some Fields Papers Daily using Github Actions (Update Every 12th hours)

Language: Python - Size: 33.8 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 171 - Forks: 51

RL-VIG/LibFewShot

LibFewShot: A Comprehensive Library for Few-shot Learning. TPAMI 2023.

Language: Python - Size: 5.02 MB - Last synced at: 1 day ago - Pushed at: 4 months ago - Stars: 964 - Forks: 183

spamegg1/abstract-thinking

Abstract thinking patterns and problem decomposition / solving strategies

Size: 1.27 MB - Last synced at: 1 day ago - Pushed at: 2 days ago - Stars: 35 - Forks: 4

EnnengYang/Awesome-Model-Merging-Methods-Theories-Applications

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.

Size: 2.04 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 378 - Forks: 17

kristmro/McHorcrux

Master Thesis Code: Featuring marine vessel simulator in JAX and PyTorch, Gym environment with live rendering, and meta learning for nonlinear adaptive motion control of marine vessels under wave disturbances.

Language: Python - Size: 1.08 GB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

shirleyzhu233/PyTorch-MAML

A PyTorch implementation of Model Agnostic Meta-Learning (MAML) that faithfully reproduces the results from the original paper.

Language: Python - Size: 29.3 KB - Last synced at: 1 day ago - Pushed at: 8 months ago - Stars: 231 - Forks: 34

microsoft/ORBIT-Dataset

The ORBIT dataset is a collection of videos of objects in clean and cluttered scenes recorded by people who are blind/low-vision on a mobile phone. The dataset is presented with a teachable object recognition benchmark task which aims to drive few-shot learning on challenging real-world data.

Language: Python - Size: 757 MB - Last synced at: 2 days ago - Pushed at: 18 days ago - Stars: 103 - Forks: 23

openml/openml-python

OpenML's Python API for a World of Data and More 💫

Language: Python - Size: 194 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 295 - Forks: 152

metaopt/torchopt

TorchOpt is an efficient library for differentiable optimization built upon PyTorch.

Language: Python - Size: 5.27 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 584 - Forks: 36

victor-nasc/SimpleFewShot

A Python Library for Few-Shot Learning Models

Language: Python - Size: 345 KB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

tata1661/FSL-Mate

FSL-Mate: A collection of resources for few-shot learning (FSL).

Language: Python - Size: 8.98 MB - Last synced at: 1 day ago - Pushed at: 11 months ago - Stars: 1,743 - Forks: 293

peymanbateni/simple-cnaps

Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples" (WACV 2022), and "Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning" (SSRN Electronic Journal)

Language: Python - Size: 466 MB - Last synced at: 3 days ago - Pushed at: about 2 years ago - Stars: 119 - Forks: 25

google/pyglove

Manipulating Python Programs

Language: Python - Size: 3.71 MB - Last synced at: 6 days ago - Pushed at: 7 days ago - Stars: 656 - Forks: 30

weimingwill/awesome-federated-learning

All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.

Language: Shell - Size: 271 KB - Last synced at: 2 days ago - Pushed at: 7 months ago - Stars: 693 - Forks: 97

lorenmt/auto-lambda

The Implementation of "Auto-Lambda: Disentangling Dynamic Task Relationships" [TMLR 2022].

Language: Python - Size: 68.4 KB - Last synced at: 1 day ago - Pushed at: over 2 years ago - Stars: 134 - Forks: 18

kaize0409/awesome-few-shot-gnn

An index of algorithms for few-shot learning/meta-learning on graphs

Size: 116 KB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 148 - Forks: 19

metarl/awesome-metarl

A curated list of awesome Meta Reinforcement Learning

Size: 2.93 KB - Last synced at: 2 days ago - Pushed at: about 5 years ago - Stars: 30 - Forks: 3

FutureAGI/Xenoverse

Xenoverse is a collection of randomized RL, Language, and general-purpose simulation environments, designed for training General-Purpose Learning Agents (GLAs).

Language: Python - Size: 1.75 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 13 - Forks: 6

pykale/pykale

Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem. ⭐ Star to support our work!

Language: Python - Size: 46.3 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 457 - Forks: 66

ThyrixYang/awesome-artificial-intelligence-research

A curated list of Artificial Intelligence (AI) Research, tracks the cutting edge trending of AI research, including recommender systems, computer vision, machine learning, etc.

Size: 44.9 KB - Last synced at: about 7 hours ago - Pushed at: over 2 years ago - Stars: 124 - Forks: 14

bupt-ai-cz/Meta-SelfLearning

Meta Self-learning for Multi-Source Domain Adaptation: A Benchmark

Language: Python - Size: 965 KB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 202 - Forks: 5

wesselb/neuralprocesses

A framework for composing Neural Processes in Python

Language: Python - Size: 8 MB - Last synced at: 5 days ago - Pushed at: 5 months ago - Stars: 85 - Forks: 17

IDSIA/automated-cl

Official repository for the paper "Automating Continual Learning"

Language: Python - Size: 1.05 MB - Last synced at: 11 days ago - Pushed at: about 1 year ago - Stars: 14 - Forks: 3

tanyuqian/redco

NAACL '24 (Best Demo Paper RunnerUp) / MlSys @ NeurIPS '23 - RedCoast: A Lightweight Tool to Automate Distributed Training and Inference

Language: Python - Size: 11.5 MB - Last synced at: 10 days ago - Pushed at: 5 months ago - Stars: 65 - Forks: 7

ealcobaca/pymfe

Python Meta-Feature Extractor package.

Language: Python - Size: 1.8 MB - Last synced at: 6 days ago - Pushed at: 11 months ago - Stars: 133 - Forks: 28

HFooladi/THEMAP

Task Hardness Estimation for Molecular Activity Predcition (THEMAP)

Language: Jupyter Notebook - Size: 9.15 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 3 - Forks: 0

msuzen/looper

A resource list for causality in statistics, data science and physics

Size: 789 KB - Last synced at: 8 days ago - Pushed at: 19 days ago - Stars: 264 - Forks: 33

airs-cuhk/airsoul

Next-gen Foundation Model for Embodied AI

Language: Python - Size: 2.58 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 15 - Forks: 6

ugurkanates/awesome-real-world-rl

Great resources for making Reinforcement Learning work in Real Life situations. Papers,projects and more.

Size: 173 KB - Last synced at: 6 days ago - Pushed at: over 2 years ago - Stars: 398 - Forks: 47

learnables/learn2learn

A PyTorch Library for Meta-learning Research

Language: Python - Size: 9.52 MB - Last synced at: 20 days ago - Pushed at: 11 months ago - Stars: 2,756 - Forks: 359

haodongcui/Meta-Learning

The journey of learning Meta-Learning 记录学习元学习的过程

Language: Python - Size: 2.93 KB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 1 - Forks: 0

ivansojivarghese/Text-Sentiment-Analysis-SC4001-Project

We explore transformer-based techniques for robust sentiment analysis, evaluate these models on IMDb and SST-2 datasets under low-resource conditions, benchmark training strategies, and identify the most efficient approaches for real-world NLP deployments.

Language: Jupyter Notebook - Size: 26.1 MB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 0 - Forks: 0

floodsung/LearningToCompare_FSL

PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)

Language: Python - Size: 8.19 MB - Last synced at: 27 days ago - Pushed at: over 5 years ago - Stars: 1,065 - Forks: 264

MaximeVandegar/Papers-in-100-Lines-of-Code

Implementation of papers in 100 lines of code.

Language: Python - Size: 20.5 MB - Last synced at: 27 days ago - Pushed at: about 2 months ago - Stars: 1,479 - Forks: 156

tristandeleu/pytorch-meta

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

Language: Python - Size: 1.08 MB - Last synced at: 28 days ago - Pushed at: almost 2 years ago - Stars: 2,026 - Forks: 258

sicara/easy-few-shot-learning

Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.

Language: Python - Size: 2.16 MB - Last synced at: 27 days ago - Pushed at: 6 months ago - Stars: 1,172 - Forks: 156

tata1661/PAR-NeurIPS21

Codes for "Property-Aware Relation Networks for Few-shot Molecular Property Prediction (NeurIPS 2021)".

Language: Python - Size: 23.5 MB - Last synced at: 26 days ago - Pushed at: about 3 years ago - Stars: 48 - Forks: 8

google-research/meta-dataset

A dataset of datasets for learning to learn from few examples

Language: Jupyter Notebook - Size: 3.18 MB - Last synced at: about 1 month ago - Pushed at: 12 months ago - Stars: 778 - Forks: 140

sileod/tasksource

Datasets collection and preprocessings framework for NLP extreme multitask learning

Language: Python - Size: 368 KB - Last synced at: 28 days ago - Pushed at: 4 months ago - Stars: 178 - Forks: 10

sungyubkim/GBML

A collection of Gradient-Based Meta-Learning Algorithms with pytorch

Language: Python - Size: 1.41 MB - Last synced at: 1 day ago - Pushed at: over 5 years ago - Stars: 62 - Forks: 8

Duan-JM/awesome-papers-fewshot 📦

Collection for Few-shot Learning

Language: TeX - Size: 670 KB - Last synced at: 3 days ago - Pushed at: almost 2 years ago - Stars: 980 - Forks: 134

enajx/HebbianMetaLearning

Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686

Language: Python - Size: 71.5 MB - Last synced at: 26 days ago - Pushed at: almost 4 years ago - Stars: 137 - Forks: 24

acerbilab/amortized-conditioning-engine

Amortized Probabilistic Conditioning for Optimization, Simulation and Inference (Chang et al., AISTATS 2025)

Language: Jupyter Notebook - Size: 285 MB - Last synced at: 23 days ago - Pushed at: about 1 month ago - Stars: 13 - Forks: 1

guan-yuan/awesome-AutoML-and-Lightweight-Models

A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.

Size: 150 KB - Last synced at: 2 days ago - Pushed at: almost 4 years ago - Stars: 853 - Forks: 160

markdtw/meta-learning-lstm-pytorch

pytorch implementation of Optimization as a Model for Few-shot Learning

Language: Python - Size: 44.9 KB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 180 - Forks: 35

VITA-Group/Open-L2O

Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms

Language: C++ - Size: 17.6 MB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 276 - Forks: 43

oscarknagg/few-shot

Repository for few-shot learning machine learning projects

Language: Python - Size: 16.1 MB - Last synced at: 27 days ago - Pushed at: over 5 years ago - Stars: 1,240 - Forks: 248

anmold-07/GRNN-FaultChain-Predictor

Source code for the papers: Real-Time Risky Fault-Chain Search using Time-Varying Graph RNNs (ICLR) / GRNN-Based Real-Time Fault Chain Prediction (IEEE TPS). Built with PyTorch.

Language: Python - Size: 3.94 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

maxencefaldor/learned-qd

Discovering Quality-Diversity Algorithms via Meta-Black-Box Optimization

Language: Python - Size: 20.5 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 0

leopard-ai/betty

Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization

Language: Python - Size: 2.85 MB - Last synced at: 17 days ago - Pushed at: 11 months ago - Stars: 338 - Forks: 28

PaddlePaddle/MetaGym

Collection of Reinforcement Learning / Meta Reinforcement Learning Environments.

Language: Python - Size: 114 MB - Last synced at: 22 days ago - Pushed at: 10 months ago - Stars: 290 - Forks: 60

johnnyasd12/awesome-few-shot-meta-learning

awesome few shot / meta learning papers

Size: 223 KB - Last synced at: about 5 hours ago - Pushed at: almost 4 years ago - Stars: 53 - Forks: 5

ryushinn/meta-sampling

The official repo for [Learning to Learn and Sample BRDFs, Eurographics 2023]

Language: Python - Size: 412 KB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 19 - Forks: 2

thrialectics/obsidian-ai-learning-digest

Generates AI summaries of Obsidian Web Clipper vault content daily (or set your frequency) and creates a glossary of terms to learn from clipped content.

Language: Python - Size: 14.6 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

yinboc/trans-inr

Transformers as Meta-Learners for Implicit Neural Representations, in ECCV 2022

Language: Python - Size: 28.3 KB - Last synced at: 17 days ago - Pushed at: over 2 years ago - Stars: 151 - Forks: 7

omerbsezer/Reinforcement_learning_tutorial_with_demo 📦

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

Language: Jupyter Notebook - Size: 151 KB - Last synced at: about 1 month ago - Pushed at: over 6 years ago - Stars: 751 - Forks: 174

salesforce/DeepTime

PyTorch code for Learning Deep Time-index Models for Time Series Forecasting (ICML 2023)

Language: Python - Size: 1.24 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 355 - Forks: 64

cleardusk/MFR

Learning Meta Face Recognition in Unseen Domains, CVPR, Oral, 2020

Size: 947 KB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 149 - Forks: 16

khanhnamle1994/MetaRec

PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models

Language: Python - Size: 626 MB - Last synced at: 11 days ago - Pushed at: over 2 years ago - Stars: 303 - Forks: 77

floodsung/Meta-Learning-Papers

Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

Size: 9.77 KB - Last synced at: about 2 months ago - Pushed at: over 6 years ago - Stars: 2,625 - Forks: 474

JosephKJ/iOD

(TPAMI 2021) iOD: Incremental Object Detection via Meta-Learning

Language: Python - Size: 1.46 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 126 - Forks: 23

TsingZ0/FedL2G

Adaptive Guidance for Local Training in Heterogeneous Federated Learning

Language: Python - Size: 45.5 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 6 - Forks: 0

amazon-science/meta-q-learning

Code for the paper "Meta-Q-Learning"( ICLR 2020)

Language: Python - Size: 2.42 MB - Last synced at: 7 days ago - Pushed at: almost 3 years ago - Stars: 103 - Forks: 17

jindongwang/transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Language: Python - Size: 35.4 MB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 13,779 - Forks: 3,835

dbaranchuk/memory-efficient-maml

Memory efficient MAML using gradient checkpointing

Language: Jupyter Notebook - Size: 117 KB - Last synced at: 27 days ago - Pushed at: over 5 years ago - Stars: 84 - Forks: 6

BorealisAI/meta-tpp

PyTorch-Lightning implementation of Meta Temporal Point Processes

Language: Python - Size: 3.36 MB - Last synced at: 27 days ago - Pushed at: about 1 year ago - Stars: 5 - Forks: 0

HICAI-ZJU/GS-Meta

Code and Data for the paper: Graph Sampling-based Meta-Learning for Molecular Property Prediction [IJCAI2023]

Language: Python - Size: 6.87 MB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 19 - Forks: 2

machinelearningnuremberg/DeepPipe

[KDD 2023] Deep Pipeline Embeddings for AutoML

Language: Python - Size: 284 MB - Last synced at: 6 days ago - Pushed at: 6 months ago - Stars: 16 - Forks: 2

dongminlee94/meta-learning-for-everyone

"모두를 위한 메타러닝" 책에 대한 코드 저장소

Language: Jupyter Notebook - Size: 4.11 MB - Last synced at: about 1 month ago - Pushed at: 9 months ago - Stars: 104 - Forks: 21

PKU-DAIR/mindware Fork of thomas-young-2013/mindware

An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.

Language: Python - Size: 62.9 MB - Last synced at: about 6 hours ago - Pushed at: over 3 years ago - Stars: 56 - Forks: 9

JosephKJ/merlin

(NeurIPS 2020) Meta-Consolidation for Continual Learning

Language: Python - Size: 10.9 MB - Last synced at: about 1 month ago - Pushed at: about 4 years ago - Stars: 37 - Forks: 7

lif31up/model-agnostic-meta-learning

MAML for few-shot image classification

Language: Python - Size: 13.5 MB - Last synced at: 26 days ago - Pushed at: 2 months ago - Stars: 3 - Forks: 0

epignatelli/discovering-reinforcement-learning-algorithms

A Jax/Stax implementation of the general meta learning paper: Oh, J., Hessel, M., Czarnecki, W.M., Xu, Z., van Hasselt, H.P., Singh, S. and Silver, D., 2020. Discovering reinforcement learning algorithms. Advances in Neural Information Processing Systems, 33.

Language: Python - Size: 80.1 KB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 21 - Forks: 5

hytseng0509/CrossDomainFewShot

Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)

Language: Python - Size: 71.3 KB - Last synced at: about 2 months ago - Pushed at: about 5 years ago - Stars: 339 - Forks: 62

vicgalle/meta-self-critique

MetaSC: Test-Time Safety Specification Optimization for Language Models

Language: Python - Size: 116 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 2 - Forks: 0

Sha-Lab/FEAT

The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"

Language: Python - Size: 4.69 MB - Last synced at: about 2 months ago - Pushed at: almost 5 years ago - Stars: 422 - Forks: 84

kjunelee/MetaOptNet

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

Language: Python - Size: 2.78 MB - Last synced at: about 2 months ago - Pushed at: 10 months ago - Stars: 533 - Forks: 97

allenai/savn

Learning to Learn how to Learn: Self-Adaptive Visual Navigation using Meta-Learning (https://arxiv.org/abs/1812.00971)

Language: Python - Size: 18.3 MB - Last synced at: about 2 months ago - Pushed at: over 5 years ago - Stars: 185 - Forks: 55

pfriedri/medfuncta

PyTorch implementation for "MedFuncta: Modality-Agnostic Representations Based on Efficient Neural Fields" (2025)

Language: Python - Size: 272 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 4 - Forks: 0

openai/EPG

Code for the paper "Evolved Policy Gradients"

Language: Python - Size: 457 KB - Last synced at: about 1 month ago - Pushed at: over 6 years ago - Stars: 250 - Forks: 55

lif31up/prototypical-network

prototypical network for few-shot image classification

Language: Python - Size: 79.1 KB - Last synced at: about 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

Han-Jia/UNICORN-MAML

PyTorch implementation of "How to Train Your MAML to Excel in Few-Shot Classification"

Language: Python - Size: 3.97 MB - Last synced at: 1 day ago - Pushed at: 10 months ago - Stars: 41 - Forks: 7

shiyuanh/TANE

Code Repository for "Task-Adaptive Negative Envision for Few-Shot Open-Set Recognition"

Language: Python - Size: 46.9 KB - Last synced at: 1 day ago - Pushed at: almost 3 years ago - Stars: 27 - Forks: 5

flavioschenker/avanox

🚀 Avanox AI – Revolutionizing Task Automation with Few-Shot Learning.

Language: HTML - Size: 0 Bytes - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

myungsub/meta-interpolation

Source code for CVPR 2020 paper "Scene-Adaptive Video Frame Interpolation via Meta-Learning"

Language: Python - Size: 19.9 MB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 80 - Forks: 13

uvm-neurobotics-lab/higherANML

ANML: A Neuromodulated Meta-Learning algorithm (using the `higher` framework)

Language: Python - Size: 58.9 MB - Last synced at: 1 day ago - Pushed at: about 1 year ago - Stars: 5 - Forks: 4

tianheyu927/mil

Code for "One-Shot Visual Imitation Learning via Meta-Learning"

Language: Python - Size: 65.4 KB - Last synced at: about 1 month ago - Pushed at: over 6 years ago - Stars: 287 - Forks: 70

florist-notes/aicore_n

Artificial Intelligence > Machine Learning > Deep Learning

Language: Python - Size: 198 MB - Last synced at: 14 days ago - Pushed at: 2 months ago - Stars: 2 - Forks: 2

amazon-science/replay-based-recurrent-rl

Code for "Task-Agnostic Continual RL: In Praise of a Simple Baseline"

Language: Python - Size: 100 MB - Last synced at: 7 days ago - Pushed at: almost 2 years ago - Stars: 33 - Forks: 6

sibirbil/LESS

Learning with Subset Stacking

Language: Python - Size: 11.8 MB - Last synced at: 25 days ago - Pushed at: over 2 years ago - Stars: 23 - Forks: 4

OmniTitanAI/OmniTitan-RL-AI

A universal RL engine transcending modality barriers, empowering cross-industry intelligence with superhuman decision efficiency. Created by @sudip_royedu

Language: Python - Size: 0 Bytes - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

ZhangGongjie/Meta-DETR

[T-PAMI 2022] Meta-DETR for Few-Shot Object Detection: Official PyTorch Implementation

Language: Python - Size: 8.89 MB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 382 - Forks: 77

KomeijiForce/MetaIE

This is a meta-model distilled from LLMs for information extraction. This is an intermediate checkpoint that can be well-transferred to all kinds of downstream information extraction tasks.

Language: Python - Size: 617 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 25 - Forks: 2

gokulp01/meta-qlearning-humanoid

Meta QLearning experiments to optimize robot walking patterns

Language: Python - Size: 32.7 MB - Last synced at: 2 days ago - Pushed at: 9 months ago - Stars: 27 - Forks: 4

ArnoutDevos/RegressionNet

Reference source code for "Regression Networks for Meta-Learning Few-Shot Classification".

Language: Python - Size: 157 KB - Last synced at: 13 days ago - Pushed at: almost 5 years ago - Stars: 8 - Forks: 1

kasia-kobalczyk/informed-meta-learning

Code to reproduce the results presented in the Informed Meta-Learning paper

Language: Jupyter Notebook - Size: 5.05 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 1

baiksung/MeTAL

Official PyTorch implementation of "Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning" (ICCV2021 Oral)

Language: Python - Size: 146 KB - Last synced at: 1 day ago - Pushed at: over 3 years ago - Stars: 64 - Forks: 13

mingxuanM/physics_learning_rl

Reinforcement learning agent that actively learns physical properties (motion mechanisms) in a 2D simulated domain.

Language: Python - Size: 16 MB - Last synced at: 7 days ago - Pushed at: 3 months ago - Stars: 3 - Forks: 0

Related Keywords
meta-learning 568 few-shot-learning 136 deep-learning 115 pytorch 111 machine-learning 110 reinforcement-learning 55 maml 52 transfer-learning 37 computer-vision 27 python 26 tensorflow 21 few-shot 20 multi-task-learning 19 domain-adaptation 19 automl 18 graph-neural-networks 17 image-classification 15 nlp 15 continual-learning 14 classification 14 metric-learning 14 deep-reinforcement-learning 13 one-shot-learning 13 federated-learning 13 paper 12 metalearning 11 ai 11 artificial-intelligence 11 neural-processes 10 meta-reinforcement-learning 10 generalization 10 dataset 10 neural-networks 10 meta-rl 9 learning-to-learn 9 neural-architecture-search 9 reptile 9 transformers 8 representation-learning 8 incremental-learning 8 jax 8 few-shot-classifcation 8 bilevel-optimization 8 domain-generalization 8 hyperparameter-optimization 8 pytorch-implementation 7 natural-language-processing 7 mini-imagenet 7 self-supervised-learning 7 bayesian-optimization 7 optimization 7 benchmark 7 data-science 7 regression 7 deep-neural-networks 7 few-shot-recognition 7 transformer 6 zero-shot-learning 6 omniglot 6 few-shot-object-detection 6 maml-algorithm 6 meta-features 6 contrastive-learning 6 imitation-learning 6 imbalanced-data 6 papers 6 robotics 6 time-series 6 generative-model 6 gan 6 prototypical-networks 6 meta 6 neural-network 6 learning-to-optimize 5 object-detection 5 knowledge-distillation 5 knowledge-graph 5 deeplearning 5 data-complexity 5 recommender-system 5 tensorflow2 5 machinelearning 5 gnn 5 forecasting 5 lstm 5 tiered-imagenet 5 awesome-list 5 conditional-neural-process 4 image-generation 4 research 4 learn2learn 4 gans 4 ppo 4 omniglot-dataset 4 unsupervised-learning 4 text-classification 4 meta-learning-algorithms 4 semi-supervised-learning 4 graph-learning 4 model-selection 4