Alternatives and similar repositories for gradient-energy-matching

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

• AtheMathmo / AggMo
  Code for "Aggregated Momentum: Stability Through Passive Damping", Lucas et al. 2018
  ☆35Updated 6 years ago
• Bihaqo / exp-machines
  Exponential Machines implementation
  ☆42Updated 7 months ago
• optml / CoCoA
  ☆19Updated 7 years ago
• andymiller / ReducedVarianceReparamGradients
  Reducing Reparameterization Gradient Variance code.
  ☆33Updated 8 years ago
• golkar / backdrop
  Implementation and demonstration of backdrop in pytorch. Code and demonstration of GP dataset generator.
  ☆68Updated 7 years ago
• yaolubrain / DOSNES
  Doubly Stochastic Neighbor Embedding on Spheres
  ☆59Updated 6 years ago
• djsutherland / cyflann
  A Cython interface to FLANN
  ☆24Updated 4 years ago
• fabianp / hoag
  Hyperparameter optimization with approximate gradient
  ☆66Updated 4 years ago
• vene / pyowl
  Ordered Weighted L1 regularization for classification and regression in Python
  ☆52Updated 7 years ago
• tsoernes / gfsopt
  Convenient hyperparameter optimization
  ☆14Updated last year
• izmailovpavel / TTGP
  ☆25Updated 7 years ago
• ucla-vision / parle
  ☆38Updated 7 years ago
• hoytak / pyksvd
  A highly optimized, parallel implementation of the Batch-OMP version of the KSVD learning algorithm.
  ☆80Updated 5 years ago
• arogozhnikov / infiniteboost
  InfiniteBoost: building infinite ensembles with gradient descent
  ☆183Updated 7 years ago
• Orcuslc / OrthNet
  TensorFlow, PyTorch and Numpy layers for generating Orthogonal Polynomials
  ☆31Updated 7 years ago
• automl / labwatch
  An extension to Sacred for automated hyperparameter optimization.
  ☆59Updated 7 years ago
• stepelu / ptstat
  Probabilistic Programming and Statistical Inference in PyTorch
  ☆111Updated 8 years ago
• ipod825 / keraflow
  ☆29Updated 7 years ago
• paulbertens / rank-ordered-autoencoder
  Rank Ordered Autoencoder implementation as described in https://arxiv.org/abs/1605.01749
  ☆33Updated 9 years ago
• bioinf-jku / librfn
  Rectified Factor Networks
  ☆37Updated 6 years ago
• abietti / stochs
  stochs: fast stochastic solvers for machine learning in C++ and Cython
  ☆26Updated 3 years ago
• mblondel / fenchel-young-losses
  Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses
  ☆192Updated 2 years ago
• rueberger / MJHMC
  Python implementation of Markov Jump Hamiltonian Monte Carlo
  ☆24Updated 8 years ago
• fomorians / tfstage
  TFStage: TensorFlow Project Scaffolding
  ☆62Updated 5 years ago
• casmls / casmls.github.io
  Columbia Advanced Machine Learning Seminar
  ☆24Updated 7 years ago
• HIPS / maxwells-daemon
  Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.
  ☆33Updated 9 years ago
• MethodsOfMachineLearning / cabs
  Tensorflow implementation of SGD with Coupled Adaptive Batch Size (CABS)
  ☆44Updated 8 years ago
• arahuja / hamiltonian-monte-carlo
  Implementation of Hamiltonian Monte Carlo using Google's TensorFlow
  ☆46Updated 9 years ago
• LucaAmbrogioni / GP-CaKe-project
  Bayesian Effective Connectivity
  ☆54Updated 6 years ago
• rhaps0dy / convnets-as-gps
  Code for "Deep Convolutional Networks as shallow Gaussian Processes"
  ☆39Updated 6 years ago