nkmry / soinn

Related projects ⓘ

Alternatives and complementary repositories for soinn

• fukatani / soinn
  Unsupervised Learning by SOINN (Self-Organizing Incremental Neural Network).
  ☆52Updated 7 years ago
• elix-tech / dqn
  DQN implementation in Keras + TensorFlow + OpenAI Gym
  ☆46Updated 7 years ago
• naka-lab / HDP-GP-HSMM
  ☆10Updated 6 months ago
• matthieu637 / ddrl
  Deep Developmental Reinforcement Learning
  ☆29Updated 4 years ago
• aonotas / awesome-deep-learning-chainer-examples-list
  Chainer example codes list
  ☆21Updated 8 years ago
• RyotaKatoh / chainer-Variational-Recurrent-Autoencoder
  ☆18Updated 9 years ago
• BatyaGG / Gaussian-Mixture-Models
  Gaussian Mixture Model (GMM) and Gaussian Mixture Regression (GMR) implemented purely on numpy
  ☆62Updated 5 years ago
• kokikwbt / autoplait
  Python implementation of AutoPlait (SIGMOD'14) without smoothing algorithm. NOTE: This repository is for my personal use.
  ☆32Updated 3 years ago
• mathDR / BP-AR-HMM
  Straight port of Emily Fox's Beta Process Auto Regressive Hidden Markov Model package
  ☆14Updated 9 years ago
• rarilurelo / tensorflow-synthetic_gradient
  ☆16Updated 8 years ago
• yosider / merlin
  (Personal experiment) Unsupervised Predictive Memory in a Goal-Directed Agent https://arxiv.org/abs/1803.10760
  ☆24Updated 5 years ago
• drasmuss / nhrlmodel
  Neural model of hierarchical reinforcement learning
  ☆16Updated 7 years ago
• erensezener / aima-based-irl
  IRL implementation based on Norvig's AIMA code.
  ☆14Updated 10 years ago
• EndingCredits / Neural-Episodic-Control
  Implementation of Deepmind's Neural Episodic Control
  ☆57Updated 6 years ago
• claymcleod / tf-differentiable-neural-computer
  Differentiable Neural Computer implementation in Tensorflow
  ☆36Updated 7 years ago
• jpbonson / SBBFramework
  Python implementation of the SBB genetic programming algorithm for reinforcement learning and classification tasks.
  ☆25Updated 4 years ago
• markvdw / GParML
  Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.
  ☆43Updated 10 years ago
• gsastry / human-rl
  Code for human intervention reinforcement learning
  ☆33Updated 6 years ago
• tanmayshankar / RCNN_MDP
  Code base for solving Markov Decision Processes and Reinforcement Learning problems using Recurrent Convolutional Neural Networks.
  ☆69Updated 7 years ago
• jayhack / LSTMVRAE
  Variational Recurrent Auto-Encoder using LSTM encoder/decoder networks
  ☆54Updated 8 years ago
• boschresearch / PR-SSM
  Python implementation of the PR-SSM.
  ☆51Updated 6 years ago
• sferes2 / modular_QD
  **Sferes2 module** A unifying modular framework for Quality-Diversity algorithms
  ☆22Updated 4 years ago
• epfl-lasa / changepoint-detection
  Online Change-point Detection Algorithm for Multi-Variate Data: Applications on Human/Robot Demonstrations.
  ☆42Updated 7 years ago
• satuma777 / evoltier
  [WIP] Python implementation of evolution strategy based on Information Geometry. This library includes CMA-ES, NES, CompactGA and PBIL.
  ☆15Updated 5 years ago
• yumilceh / igmm
  Incremental Learning of Gaussian Mixture Models (IGMM)
  ☆27Updated 6 years ago
• Riashat / Bayesian-Exploration-Deep-RL
  Bayesian Uncertainty Exploration in Deep Reinforcement Learning
  ☆18Updated 7 years ago
• albietz / online_hmm
  Online EM algorithms for hidden Markov and semi-Markov models + applications to audio segmentation and clustering
  ☆71Updated 9 years ago
• rarilurelo / pcl_keras
  reinforcement learning. policy gradient. PCL
  ☆38Updated 7 years ago
• cvxgrp / GGS
  Greedy Gaussian Segmentation
  ☆98Updated last year