BoostSRL
Relational boosting algorithm
A gradient-boosting based approach to learning different types of Statistical Relational Models.
BoostSRL: "Boosting for Statistical Relational Learning." A gradient-boosting based approach for learning different types of SRL models.
32 stars
19 watching
21 forks
Language: Java
last commit: about 1 year ago
Linked from 1 awesome list
artificial-intelligencemachine-learningmachine-learning-algorithmspattern-classificationstatistical-learning
Related projects:
Repository | Description | Stars |
---|---|---|
rksltnl/deep-metric-learning-cvpr16 | A software framework for building deep metric learning models using lifted structured feature embedding | 342 |
toni-sm/skrl | A modular reinforcement learning library with support for various environments and frameworks | 560 |
araffin/rl-tutorial-jnrr19 | A tutorial project providing an introduction to reinforcement learning with Stable Baselines3 | 615 |
ardavans/dsr | An algorithm for deep reinforcement learning that combines model-free and model-based approaches to learn robust value functions. | 98 |
sjtu-marl/malib | A framework for parallel population-based reinforcement learning | 497 |
tristandeleu/pytorch-maml-rl | Replication of Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks in PyTorch for reinforcement learning tasks | 827 |
jay15summer/two-stage-tradaboost.r2 | An implementation of a boosting-based transfer learning algorithm for regression tasks. | 44 |
charliermarsh/online_boosting | A suite of algorithms and weak learners for the online learning setting in machine learning | 63 |
ceshine/rrl_matlab | A Matlab implementation of a recurrent reinforcement learning algorithm for training models to make predictions or take actions in dynamic environments. | 47 |
stanfordvl/referringrelationships | This repository provides code and tools for training and evaluating models of referring relationships in computer vision | 260 |
matthiasplappert/keras-rl | A Python library implementing state-of-the-art deep reinforcement learning algorithms for Keras and OpenAI Gym environments. | 7 |
cpnota/autonomous-learning-library | A comprehensive library for building deep reinforcement learning agents using PyTorch | 646 |
stanfordmlgroup/ngboost | A Python library implementing a machine learning boosting framework with probabilistic prediction capabilities | 1,654 |
gbdt-pl/gbdt-pl | An implementation of a gradient boosting algorithm with piece-wise linear regression trees for efficient machine learning model training | 149 |
chainer/chainerrl | A deep reinforcement learning library built on top of Chainer. | 1,174 |