64 skills found · Page 3 of 3
mojabyte / MetaNLIMeta-learning algorithms for cross-lingual NLI
vivekveeriah / IncrementalDeltaBarDeltaIncremental Delta Bar Delta (IDBD) algorithm for meta-learning the step-sizes
pratik11jain / Dynamic Ranking Of Classification AlgorithmsThere are a plethora of algorithms in data mining, machine learning and pattern recognition areas. It is very difficult for non-experts to select a particular algorithm. Hence, according to current application or task at hand, recommendation of appropriate classification algorithm for given new dataset is a very important and useful task. According to NO-FREE-LUNCH theorem, there is no best classifier for different classification problems. It is difficult to predict which learning algorithm will work best for a particular type of data and domain. A meta-learning method is presented to support selection of candidate learning algorithms. Meta learning tries to address the problem of algorithm selection by recommending promising classifiers based on meta-features. It uses a k-Nearest Neighbor algorithm to identify the datasets that are most similar to the one at hand. The performance of the candidate algorithms on those datasets is used to generate a recommendation to the user in the form of a ranking. The performance is assessed using a multi-criteria evaluation measure that takes accuracy, precision, recall and execution time into account. The evaluation methodology is general and can be adapted to other ranking problems.
Riashat / Meta Active LearningMeta-Learning Bayesian Active Learning Algorithms
SoongE / MetaLearning PytorchMeta learning algorithm using pytorch
uvm-neurobotics-lab / HigherANMLANML: A Neuromodulated Meta-Learning algorithm (using the `higher` framework)
ItayGabbay / ClusteringAlgorithmSelectionClustering Algorithm Selection Using Meta-Learning and Landmarking
sebastianpinedaar / Time Series Meta LearningExploration of time series meta-learning algorithms
josh-strong / MAMLImplementing PyTorch version of model-agnostic meta learning (MAML) algorithm.
Aladoro / SimpleMetaLearner4ContinualLearningCode for the simple meta-learning algorithm for continual learning (SiM4C) from the ICCV paper A Simple Recipe to Meta-Learn Forward and Backward Transfer.
JunjieYang97 / GGS MAML RLExample RL code for paper "Multi-Step Model-Agnostic Meta-Learning: Convergence and Improved Algorithms"
ManojSuryaK / Meta Cognitive Neural Network And Online Sequential LearningContains code for implementing Online Sequential learning algorithm, Meta Cognitive Neural Networks and Feed Forward Neural Networks for adaptive identification and control. The methods are also implemented to solve classification and time series prediction problems.
Vanshikas253 / Fire Hawk Optimizer For MealPyAs part of Advanced Optimization Course during my Masters in Data Sciences and Business Analytics, me and my team contributed to the open-source package MealPy, which develops nature-inspired meta-heuristic algorithms in order to implement them on applications such as Deep Learning.
gebob19 / REPTILE MetalearningFull implementation and re-production of the meta-learning algorithm REPTILE
zhanpenghe / Meta AgentsPytorch implementation of meta-reinforcement-learning algorithms.
hfahrudin / MetaLearn MAML ReptileImplements popular meta-learning algorithms, including Reptile, Model-Agnostic Meta-Learning (MAML) with its Enhancement primarily tested on the Sinusoid dataset.
MohammadMaftoun / Metaheuristics Algorithms In Machine Learning ProjectsApplications of Metaheuristics algorithms in machine learning and data science projects (Including hyperparameter optimization and feature selection))
ektormak / Learn2learnResearch questions, notes and implementations of meta and transfer learning algorithms.
zhenchaowu / M2EUIt is a meta-learning-based algorithm for cold-start recommendation.
LucasCJYSDL / GAIL AIRLApplying SOTA imitation learning and meta-learning algorithms, such as GAIL, AIRL, Info-AIRL, Meta-AIRL, etc, for driving bahavior learning of autonomous vehicles.
