torchopt
TorchOpt is an efficient library for differentiable optimization built upon PyTorch.
tasksource
Datasets collection and preprocessings framework for NLP extreme multitask learning
easyfsl
Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
py-torchmeta
A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
https://github.com/amazon-science/replay-based-recurrent-rl
Code for "Task-Agnostic Continual RL: In Praise of a Simple Baseline"
https://github.com/amazon-science/meta-q-learning
Code for the paper "Meta-Q-Learning"( ICLR 2020)
https://github.com/acerbilab/relational-neural-processes
Practical Equivariances via Relational Conditional Neural Processes (Huang et al., NeurIPS 2023)
https://github.com/machinelearningnuremberg/deeprankingensembles
[ICLR 2023] Deep Ranking Ensembles for Hyperparameter Optimization
hebbianmetalearning
Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686
tamper-resistance
[ICLR 2025] Official Repository for "Tamper-Resistant Safeguards for Open-Weight LLMs"
https://github.com/acerbilab/amortized-conditioning-engine
Amortized Probabilistic Conditioning for Optimization, Simulation and Inference (Chang et al., AISTATS 2025)