HazyResearch / Accelerated-PCA
Accelerated Stochastic Power Iteration with Momentum
☆9Updated 7 years ago
Alternatives and similar repositories for Accelerated-PCA:
Users that are interested in Accelerated-PCA are comparing it to the libraries listed below
- Analogous Safe-state Exploration (ASE) is an algorithm for provably safe and optimal exploration in MDPs with unknown, stochastic dynamic…☆11Updated 4 years ago
- Code for our ICLR Trustworthy ML 2020 workshop paper "Improved Image Wasserstein Attacks and Defenses"☆14Updated 5 years ago
- Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen☆25Updated 4 years ago
- Evolution of Discrete data with Reinforcement Learning☆13Updated 5 years ago
- ☆30Updated 3 years ago
- ☆13Updated 2 years ago
- Implementation of "Analysing Mathematical Reasoning Abilities of Neural Models"☆29Updated 2 years ago
- Modelling epidemiological dynamics and performing inference in these models☆27Updated 3 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆14Updated 6 years ago
- 🤖 Implementation of Self Normalizing Networks (SNN) in PyTorch.☆12Updated 7 years ago
- Agent models implemented with Pyro☆11Updated last year
- Implements EvoNorms B0 and S0 as proposed in Evolving Normalization-Activation Layers.☆11Updated 5 years ago
- Auxiliary variable Markov chain Monte Carlo methods☆10Updated 7 years ago
- A framework for implementing equivariant DL☆10Updated 3 years ago
- my PhD thesis on Bayesian inference☆27Updated 11 years ago
- Quasi-Newton Algorithm for Stochastic Optimization☆10Updated 2 years ago
- Large-Scale Machine and Deep Learning in PyTorch.☆21Updated 3 years ago
- Variational Walkback, NIPS'17☆28Updated 7 years ago
- Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning (NeurIPS 2020)☆22Updated 2 years ago
- ☆12Updated 8 years ago
- A deep generative model of semi-unsupervised learning☆15Updated 6 years ago
- Graph Learning with JAX☆14Updated 2 years ago
- "Parameter origami" -- folding and unfolding collections of parameters for optimization and sensitivity analysis.☆14Updated last year
- Code for "Exponential Family Estimation via Adversarial Dynamics Embedding" (NeurIPS 2019)☆13Updated 5 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 9 years ago
- ☆11Updated 3 years ago
- ☆12Updated 7 years ago
- List of awesome JAX resources☆13Updated 2 years ago
- Matlab code implementing Hamiltonian Annealed Importance Sampling for importance weight, partition function, and log likelihood estimatio…☆26Updated 10 years ago
- Simplifying parsing of large jsonline files in NLP Workflows☆12Updated 3 years ago