ppletscher / BCFWstruct

Related projects ⓘ

Alternatives and complementary repositories for BCFWstruct

• locuslab / newton_admm
  A Newton ADMM based solver for Cone programming.
  ☆38Updated 7 years ago
• afriesen / rdis
  C++ code for the RDIS algorithm from "Recursive Decomposition for Nonconvex Optimization." Friesen and Domingos, IJCAI 2015.
  ☆57Updated 9 years ago
• HIPS / maxwells-daemon
  Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.
  ☆31Updated 8 years ago
• cvxgrp / cvxflow
  ☆66Updated 6 years ago
• Simon-Lacoste-Julien / linearFW
  Frank-Wolfe optimization variants with a linear convergence rate
  ☆20Updated 8 years ago
• yaoli / nade_k
  An iterative neural autoregressive distribution estimator (NADE-K)
  ☆26Updated 10 years ago
• davmre / gprf
  Gaussian Process Random Fields
  ☆21Updated 9 years ago
• philipphennig / probabilistic-numerics.org
  This repository houses the code for the community website http://www.probabilistic-numerics.org
  ☆35Updated 4 years ago
• danyaljj / constrained_clustering
  A MATLAB project containing many popular / existing constrained clustering algorithms
  ☆27Updated 6 years ago
• mahito-sugiyama / Legendre-decomposition
  Legendre decomposition for tensors
  ☆13Updated 6 years ago
• Sohl-Dickstein / LAHMC
  Look Ahead Hamiltonian Monte Carlo
  ☆30Updated 9 years ago
• imurray / chol-rev
  Backpropagate derivatives through the Cholesky decomposition
  ☆58Updated 4 years ago
• zhegan27 / dsbn_aistats2015
  The Matlab Code for the AISTATS 2015 paper "Learning Deep Sigmoid Belief Network with Data Augmentation"
  ☆13Updated 9 years ago
• karlstratos / cca
  ☆10Updated 10 years ago
• karlnapf / kernel_hmc
  Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"
  ☆24Updated 6 years ago
• jaanli / proximity_vi
  This code accompanies the proximity variational inference paper.
  ☆18Updated 5 years ago
• cilvrRG / DeepLearn-Theory
  Topics on theoretical, mathematical aspects of DL
  ☆71Updated 8 years ago
• davmre / treegp
  Gaussian Process Regression for Python/Numpy
  ☆14Updated 8 years ago
• bshahr / torch-dngo
  Torch implementation of the Deep Network for Global Optimization (DNGO)
  ☆51Updated 8 years ago
• cmaddis / astar-sampling
  A generic Monte Carlo method based on the Gumbel-Max trick.
  ☆32Updated 8 years ago
• stephenbeckr / SparsifiedKMeans
  KMeans for big data using preconditioning and sparsification, Matlab implementation. Aka k-means
  ☆56Updated 4 years ago
• mdenil / acdc-torch
  ACDC: A Structured Efficient Linear Layer
  ☆42Updated 8 years ago
• duvenaud / warped-mixtures
  Code for density estimation with nonparametric cluster shapes.
  ☆38Updated 8 years ago
• kd383 / GPML_SLD
  Scalable Log Determinants for Gaussian Process Kernel Learning (https://arxiv.org/abs/1711.03481) (NIPS 2017)
  ☆18Updated 7 years ago
• mateuszmalinowski / SGD
  Stochastic Gradient Descent
  ☆19Updated 11 years ago
• stan-dev / nomad
  Fast autodiff.
  ☆19Updated 9 years ago
• rueberger / MJHMC
  Python implementation of Markov Jump Hamiltonian Monte Carlo
  ☆24Updated 7 years ago
• Networks-Learning / l1-ls.py
  L1 regularized Least Squares minimization problem solver.
  ☆17Updated 8 years ago
• wangshusen / RandMatrixMatlab
  simple MATLAB code for randomized matrix computation
  ☆23Updated 9 years ago