dave-fernandes / SaddleFreeOptimizer

Related projects ⓘ

Alternatives and complementary repositories for SaddleFreeOptimizer

• edwardjhu / improved_wasserstein
  Code for our ICLR Trustworthy ML 2020 workshop paper "Improved Image Wasserstein Attacks and Defenses"
  ☆13Updated 4 years ago
• isl-org / LMRS
  Source code for ICLR 2020 paper: "Learning to Guide Random Search"
  ☆39Updated 2 months ago
• random-matrix-learning / slides
  LaTeX source code for the slides
  ☆21Updated 3 years ago
• rwightman / py-lmdb
  Universal Python binding for the LMDB 'Lightning' Database
  ☆12Updated 7 years ago
• GeorgeKyriakides / nord
  Deep neural architecture research framework
  ☆12Updated last year
• dmurfet / 2simplicialtransformer
  Code for the 2-simplicial Transformer paper
  ☆18Updated 4 years ago
• shreyansh26 / ML-Optimizers-JAX
  Toy implementations of some popular ML optimizers using Python/JAX
  ☆43Updated 3 years ago
• vtopt / qnstop
  Quasi-Newton Algorithm for Stochastic Optimization
  ☆10Updated 2 years ago
• cair / PyTsetlinMachineCUDA
  Massively Parallel and Asynchronous Architecture for Logic-based AI
  ☆41Updated last year
• andravin / algebranets
  Unofficial Experiments with AlgebraNets
  ☆17Updated 4 years ago
• li012589 / HMC_pytorch
  A pytorch version of hamiltonian monte carlo
  ☆12Updated 5 years ago
• Z-T-WANG / LaProp-Optimizer
  Codes accompanying the paper "LaProp: a Better Way to Combine Momentum with Adaptive Gradient"
  ☆20Updated 4 years ago
• EleutherAI / equivariance
  A framework for implementing equivariant DL
  ☆10Updated 3 years ago
• vitalab / neuralteleportation
  Isomorphisms of quiver representations applied to neural networks.
  ☆16Updated 3 months ago
• papamarkou / eeyore
  MCMC methods for neural networks
  ☆10Updated 6 months ago
• franrruiz / uivi
  Code for Unbiased Implicit Variational Inference (UIVI)
  ☆13Updated 5 years ago
• tmbdev-archive / tarproc
  Utilities for sequential processing of tar files.
  ☆24Updated 2 years ago
• titu1994 / tf_GON
  Tensorflow 2.x implementation of Gradient Origin Networks
  ☆13Updated 4 years ago
• locuslab / ase
  Analogous Safe-state Exploration (ASE) is an algorithm for provably safe and optimal exploration in MDPs with unknown, stochastic dynamic…
  ☆11Updated 3 years ago
• tsoernes / gfsopt
  Convenient hyperparameter optimization
  ☆14Updated 6 months ago
• CW-Huang / CP-Flow
  Convex potential flows
  ☆78Updated 2 years ago
• MethodsOfMachineLearning / probabilistic_line_search
  Probabilistic line search algorithm for stochastic optimization with a TensorFlow interface.
  ☆22Updated 7 years ago
• ethanluoyc / dhmc-jax
  Discontinuous Hamiltonian Monte Carlo in JAX
  ☆40Updated 4 years ago
• CW-Huang / BayesianHypernet
  ☆17Updated 6 years ago
• martinResearch / PySparseLP
  python algorithms to solve sparse linear programming problems
  ☆28Updated last year
• kd383 / GPML_SLD
  Scalable Log Determinants for Gaussian Process Kernel Learning (https://arxiv.org/abs/1711.03481) (NIPS 2017)
  ☆18Updated 7 years ago
• asaparov / grammar
  Implementation of generative semantic grammar.
  ☆17Updated 2 years ago