Alternatives and similar repositories for gradient-energy-matching

Users that are interested in gradient-energy-matching are comparing it to the libraries listed below

• andymiller / ReducedVarianceReparamGradients
  Reducing Reparameterization Gradient Variance code.
  ☆33Updated 8 years ago
• thierry-silbermann / libfm_python
  ☆10Updated 10 years ago
• tsoernes / gfsopt
  Convenient hyperparameter optimization
  ☆14Updated last year
• Bihaqo / exp-machines
  Exponential Machines implementation
  ☆41Updated 4 months ago
• davmre / treegp
  Gaussian Process Regression for Python/Numpy
  ☆14Updated 9 years ago
• djsutherland / cyflann
  A Cython interface to FLANN
  ☆24Updated 4 years ago
• jakevdp / pypropack
  A python wrapper for the PROPACK library
  ☆51Updated 8 years ago
• optml / CoCoA
  ☆19Updated 7 years ago
• AtheMathmo / AggMo
  Code for "Aggregated Momentum: Stability Through Passive Damping", Lucas et al. 2018
  ☆34Updated 6 years ago
• rueberger / MJHMC
  Python implementation of Markov Jump Hamiltonian Monte Carlo
  ☆24Updated 8 years ago
• vchahun / yart
  Yet another regression toolkit
  ☆12Updated 11 years ago
• bioinf-jku / librfn
  Rectified Factor Networks
  ☆38Updated 5 years ago
• brekelma / echo
  Echo Noise Channel for Exact Mutual Information Calculation
  ☆17Updated 5 years ago
• myshkov / bnn-analysis
  ☆16Updated 8 years ago
• gdikov / adversarial-variational-bayes
  A Keras/TensorFlow-based implementation of Adversarial Variational Bayes by L. Mescheder et al.
  ☆12Updated 8 years ago
• abhishekkrthakur / automl_gpu
  ☆25Updated 9 years ago
• ARCambridge / MXNet_linalg_examples
  Examples of building probabilistic models with MXNet linear algebra operators
  ☆23Updated 7 years ago
• soumith / mltrain-nips-2017
  This repository contains all the material for the MLTrain NIPS workshop
  ☆10Updated 7 years ago
• rotinov / AGNES
  Flexible Reinforcement Learning Framework with PyTorch
  ☆22Updated 5 years ago
• premgopalan / bnprec
  Gopalan, P., Ruiz, F. J., Ranganath, R., & Blei, D. M. (2014). Bayesian Nonparametric Poisson Factorization for Recommendation Systems. I…
  ☆15Updated 11 years ago
• yaolubrain / DOSNES
  Doubly Stochastic Neighbor Embedding on Spheres
  ☆59Updated 5 years ago
• Orcuslc / OrthNet
  TensorFlow, PyTorch and Numpy layers for generating Orthogonal Polynomials
  ☆31Updated 7 years ago
• CW-Huang / BayesianHypernet
  ☆17Updated 7 years ago
• BigBayes / SGRLD
  Stochastic Gradient Riemannian Langevin Dynamics
  ☆33Updated 10 years ago
• EigenPro / EigenPro2
  EigenPro2 iteration in Tensorflow (Keras)
  ☆23Updated 6 years ago
• abietti / stochs
  stochs: fast stochastic solvers for machine learning in C++ and Cython
  ☆26Updated 2 years ago
• aschein / bptd
  Bayesian Poisson Tucker decomposition
  ☆17Updated 8 years ago
• fabianp / DSOML_2017
  ☆12Updated 8 years ago
• hoytak / pyksvd
  A highly optimized, parallel implementation of the Batch-OMP version of the KSVD learning algorithm.
  ☆80Updated 5 years ago
• Hanjun-Dai / sequence2vec
  ☆8Updated 6 years ago