#Meta-learning
Showing 31 of 31 repositories tagged #meta-learning, ranked by stars
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-θΏη§»ε¦δΉ
Automated Machine Learning with scikit-learn
π¦ Just talk to your agent β it learns and EVOLVES π§¬.
Implementation of papers in 100 lines of code.
Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
FSL-Mate: A collection of resources for few-shot learning (FSL).
A dataset of datasets for learning to learn from few examples
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..
All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.
Manipulating Python Programs
Awesome Multitask Learning Resources
TorchOpt is an efficient library for differentiable optimization built upon PyTorch.
[CVPR'17] Training a Correlation Filter end-to-end allows lightweight networks of 2 layers (600 kB) to high performance at fast speed..
Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the π₯PyTorch ecosystem. β Star to support our work!
[T-PAMI 2022] Meta-DETR for Few-Shot Object Detection: Official PyTorch Implementation
The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"
OpenML's Python API for a World of Data and More π«
Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization
A resource list for causality in statistics, data science and physics
The official API of DoubleAdapt (KDD'23), an incremental learning framework for online stock trend forecasting, WITHOUT dependencies on the qlib package.
Code for AAAI 2022 Oral paper: 'Meta Faster R-CNN: Towards Accurate Few-Shot Object Detection with Attentive Feature Alignment'
One-Shot Learning with Triplet CNNs in Pytorch
A framework for composing Neural Processes in Python
Source code for NeurIPS 2020 paper "Meta-Learning with Adaptive Hyperparameters"
Memory efficient MAML using gradient checkpointing
Source code for CVPR 2020 paper "Scene-Adaptive Video Frame Interpolation via Meta-Learning"
[ICLR 2025] Official Repository for "Tamper-Resistant Safeguards for Open-Weight LLMs"
Official PyTorch implementation of "Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning" (ICCV2021 Oral)
Implementation of meta-transfer-learning for ASR and LM (ACL 2020)
All Proprietary Research and Development
Data for "OntoChatGPT Information System: Ontology-Driven Structured Prompts For ChatGPT Meta-Learning" paper