dave-fernandes / SaddleFreeOptimizer
A second order optimizer for TensorFlow that uses the Saddle-Free method.
☆20Updated 6 years ago
Alternatives and similar repositories for SaddleFreeOptimizer:
Users that are interested in SaddleFreeOptimizer are comparing it to the libraries listed below
- Code for our ICLR Trustworthy ML 2020 workshop paper "Improved Image Wasserstein Attacks and Defenses"☆14Updated 4 years ago
- Quasi-Newton Algorithm for Stochastic Optimization☆10Updated 2 years ago
- Universal Python binding for the LMDB 'Lightning' Database☆13Updated 7 years ago
- Source code for ICLR 2020 paper: "Learning to Guide Random Search"☆39Updated 7 months ago
- LaTeX source code for the slides☆23Updated 3 years ago
- A LinearOperator implementation for PyTorch☆18Updated 4 years ago
- Auxiliary variable Markov chain Monte Carlo methods☆10Updated 7 years ago
- Official Implementation of "Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics" …☆26Updated 2 years ago
- Prototypes of differentiable differential equation solvers in JAX.☆27Updated 5 years ago
- ☆28Updated 5 years ago
- Discontinuous Hamiltonian Monte Carlo in JAX☆41Updated 5 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 5 years ago
- Canonical normalizing flows☆10Updated 5 years ago
- Tensorflow implementation of preconditioned stochastic gradient descent☆34Updated last year
- Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning (NeurIPS 2020)☆22Updated 2 years ago
- Massively Parallel and Asynchronous Architecture for Logic-based AI☆41Updated 2 years ago
- Dive into Jax, Flax, XLA and C++☆31Updated 5 years ago
- Machine Learning Function Approximation: This code implements the fully-connected Deep Neural Network (DNN) architectures considered in t…☆18Updated 4 years ago
- Fork of cma-es library by Nikolaus Hansen☆12Updated 7 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆14Updated 6 years ago
- A pytorch version of hamiltonian monte carlo☆14Updated 5 years ago
- Easing non-convex optimization with neural networks.☆22Updated 6 years ago
- A differentiation API for PyTorch☆30Updated 4 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆68Updated 10 years ago
- Tensorflow 2.x implementation of Gradient Origin Networks☆12Updated 4 years ago
- Primal-Dual Operator Splitting Method for Conic Optimization☆20Updated 10 years ago
- AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks☆27Updated 2 years ago
- MCMC for the Dark Energy Spectroscopic Instrument☆13Updated 8 years ago
- Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen☆25Updated 4 years ago
- 🤖 Implementation of Self Normalizing Networks (SNN) in PyTorch.☆12Updated 7 years ago