PyRank

Meta Learning Python Packages

Python packages with the GitHub topic meta-learning. Sorted by relevance, with stars and monthly downloads.
google
pyglove

Manipulating Python Programs

555K 711 34
openml
openml

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

83K 350 269
tristandeleu
torchmeta

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

38K 2K 265
tata1661
paddlefsl

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

17K 2K 288
metaopt
torchopt

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

9K 627 43
densechen
activations

AReLU: Attention-based-Rectified-Linear-Unit

5K 62 8
learnables
learn2learn

A PyTorch Library for Meta-learning Research

5K 3K 360
wesselb
neuralprocesses

A framework for composing Neural Processes in Python

3K 90 19
sicara
easyfsl

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

2K 1K 172
ealcobaca
pymfe

Python Meta-Feature Extractor package.

2K 142 30
sileod
tasksource

Datasets collection and preprocessings framework for NLP extreme multitask learning

1K 195 11
profitopsai
priorstudio-core

Open-source toolkit + marketplace for prior-fitted foundation models (PFNs)

1K 0 0
profitopsai
priorstudio

Open-source toolkit + marketplace for prior-fitted foundation models (PFNs)

1K 0 0
profitopsai
priorstudio-studio

Open-source toolkit + marketplace for prior-fitted foundation models (PFNs)

1K 0 0
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!

890 481 73
leopard-ai
betty-ml

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

706 348 29
AnasNeumann
simplemaml

A simple generic (TensorFlow) function that implements the MAML algorithm for regression problems as designed by Chelsea Finn et al. 2017

639 4 0
tanyuqian
redco

No description available

623 69 7
azoz01
dataset2vec

Implementation of the dataset2vec meta-feature extractor

578 0 0
subhayudutta
metavisionary

It empowers users to train machine learning models efficiently even when confronted with datasets containing a limited number of samples and classes that bear resemblance to each other.

573 1 0
releaunifreiburg
deeppipe-api

[KDD 2023] Deep Pipeline Embeddings for AutoML

547 17 2
ITMO-NSS-team
metafedot

Framework for meta-optimisation in AutoML tasks

531 39 1
asystemoffields
disco-torch

PyTorch port of DeepMind's Disco103 meta-learned RL update rule

520 12 0
PaddlePaddle
rlschool

Collection of Reinforcement Learning / Meta Reinforcement Learning Environments.

366 302 61