64 skills found · Page 1 of 3
openai / Supervised ReptileCode for the paper "On First-Order Meta-Learning Algorithms"
Evolutionary-Intelligence / Pypop[JMLR (CCF-A)] PyPop7: A Pure-PYthon LibrarY for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* algorithm variants (from evolutionary computation, swarm intelligence, statistics, operations research, machine learning, mathematical optimization, meta-heuristics, auto-control etc.). [https://jmlr.org/papers/v25/23-0386.html]
cnguyen10 / Few Shot Meta LearningImplementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch
kaize0409 / Awesome Few Shot GnnAn index of algorithms for few-shot learning/meta-learning on graphs
uvm-neurobotics-lab / ANMLA Neuromodulated Meta-Learning algorithm
Shandilya21 / Few ShotA PyTorch implementation of a few shot, and meta-learning algorithms for image classification.
mfranzs / Meta Learning Curiosity AlgorithmsNo description available
louiskirsch / MetagenrlMetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entirely different from those used for meta-training.
sungyubkim / GBMLA collection of Gradient-Based Meta-Learning Algorithms with pytorch
RobvanGastel / Meta Rl AlgorithmsA collection of Meta-Reinforcement Learning algorithms in PyTorch
johncai117 / Meta Fine Tuning[CVPR 2020 VL3] The repository for meta fine-tuning in cross-domain few-shot learning.
TroddenSpade / Meta Reinforcement LearningCode snippets of Meta Reinforcement Learning algorithms
arunvenk / DaDData as Demonstrator (DaD) is a meta learning algorithm to improve the multi-step predictive capabilities of a learned time series (e.g. dynamical system) model.
ashishpatel26 / Meta Learning Meta learning is a subfield of machine learning where automatic learning algorithms are applied on metadata about machine learning experiments.
sail-sg / Optim4rlOptim4RL is a Jax framework of learning to optimize for reinforcement learning.
tristandeleu / Jax Meta LearningA collection of meta-learning algorithms in Jax
AlexGoldie / Learn Rl AlgorithmsOfficial implementation for "How Should We Meta-Learn Reinforcement Learning Algorithms?"
epignatelli / Discovering Reinforcement Learning AlgorithmsA 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.
siavash-khodadadeh / UMTRA ReleaseUnsupervised Meta Learning for Image Classification (UMTRA) algorithm
ShiDongyuan / MetaFast Adaptive Active Noise Control based on Modified Model-Agnostic Meta-Learning Algorithm
