Alternatives and similar repositories for merlin

Users that are interested in merlin are comparing it to the libraries listed below

• afriesen / rdis
  C++ code for the RDIS algorithm from "Recursive Decomposition for Nonconvex Optimization." Friesen and Domingos, IJCAI 2015.
  ☆57Updated 10 years ago
• mcastron / BBRL
  BBRL is a C++ open-source library used to compare Bayesian reinforcement learning algorithms
  ☆34Updated 9 years ago
• imurray / chol-rev
  Backpropagate derivatives through the Cholesky decomposition
  ☆58Updated 5 years ago
• HIPS / maxwells-daemon
  Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.
  ☆33Updated 9 years ago
• philipphennig / probabilistic-numerics.org
  This repository houses the code for the community website http://www.probabilistic-numerics.org
  ☆36Updated 5 years ago
• locuslab / newton_admm
  A Newton ADMM based solver for Cone programming.
  ☆39Updated 8 years ago
• rueberger / MJHMC
  Python implementation of Markov Jump Hamiltonian Monte Carlo
  ☆24Updated 8 years ago
• cilvrRG / RL
  Reading Group on Reinforcement Learning topics
  ☆56Updated 8 years ago
• jaanli / proximity_vi
  This code accompanies the proximity variational inference paper.
  ☆18Updated 6 years ago
• HIPS / hips-lib
  Library of common tools for machine learning research.
  ☆41Updated 7 years ago
• BRML / climin
  Optimizers for machine learning
  ☆182Updated 2 years ago
• wojzaremba / trpo_rnn
  ☆20Updated 9 years ago
• duvenaud / deep-limits
  Repo for a paper about constructing priors on very deep models.
  ☆73Updated 9 years ago
• bshahr / torch-dngo
  Torch implementation of the Deep Network for Global Optimization (DNGO)
  ☆51Updated 9 years ago
• cilvrRG / DeepLearn-Theory
  Topics on theoretical, mathematical aspects of DL
  ☆72Updated 8 years ago
• tor / libbandit
  Library for Multi-Armed Bandit Algorithms
  ☆56Updated 8 years ago
• Sohl-Dickstein / LAHMC
  Look Ahead Hamiltonian Monte Carlo
  ☆30Updated 10 years ago
• dillonalaird / pysvihmm
  Implementation of stochastic variational inference for Bayesian hidden Markov models.
  ☆68Updated 8 years ago
• cvxgrp / cvxflow
  ☆67Updated 7 years ago
• amzn / MXFusion
  Modular Probabilistic Programming on MXNet
  ☆104Updated 2 years ago
• tambetm / gymexperiments
  ☆28Updated 6 years ago
• xdata-skylark / libskylark
  Sketching-based Distributed Matrix Computations for Machine Learning
  ☆100Updated 7 years ago
• RobinKa / gsdr
  Generative Sparse Distributed Representations, a fast generative model written in Python (Original C++ implementation https://github.com/…
  ☆24Updated 9 years ago
• fgerzer / apsis
  ☆25Updated 3 years ago
• snap-stanford / snapvx
  ☆66Updated 5 years ago
• petered / plato
  A library built on top of Theano. TUTORIAL:
  ☆39Updated 7 years ago
• Sohl-Dickstein / Sum-of-Functions-Optimizer
  Implements SFO minibatch optimizer in Python and MATLAB, and reproduces figures from paper.
  ☆129Updated 4 years ago
• stan-dev / nomad
  Fast autodiff.
  ☆20Updated 10 years ago
• abietti / stochs
  stochs: fast stochastic solvers for machine learning in C++ and Cython
  ☆26Updated 3 years ago
• SheffieldML / collab
  Collaborative filtering with the GP-LVM
  ☆25Updated 10 years ago