☆20May 31, 2021Updated 5 years ago
Alternatives and similar repositories for AMOC_EWS
Users that are interested in AMOC_EWS are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Duality of view between named variables and flat vectors in Julia☆13Aug 26, 2026Updated last week
- Repository for the Control of Stochastic Quantum Dynamics with Differentiable Programming paper.☆16Feb 16, 2021Updated 5 years ago
- Rejection-minimal, non-reversible, and continuous-time samplers☆12Nov 14, 2025Updated 9 months ago
- Backward-filtering forward-guiding with StochasticDiffEq.jl☆12Feb 23, 2024Updated 2 years ago
- Image registration toolbox for Julia☆11Sep 3, 2019Updated 7 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Code for testing of Julia's random numbers☆11Jul 1, 2026Updated 2 months ago
- Binaries for mathematicians☆10Mar 19, 2025Updated last year
- Next generation MCMC samplers with automatic differentiaion and adaptive Poisson thinning☆13Jul 14, 2026Updated last month
- Fast & stable PRNG☆11Dec 17, 2021Updated 4 years ago
- Experimental port of ADEV to Julia☆11Nov 12, 2023Updated 2 years ago
- BQN implementation in Julia☆19Apr 24, 2022Updated 4 years ago
- Webpage creating BibTeX, HTML and Wiki markup for papers on the arXiv.☆13Jul 22, 2026Updated last month
- A Julia package that provides (feedback) particle filters for nonlinear stochastic filtering and data assimilation problems☆12Mar 17, 2023Updated 3 years ago
- The Shape of Data: Intrinsic Distance for Comparing Data Distributions☆12Sep 25, 2019Updated 6 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Utilities for loading posteriordb with Julia☆14Updated this week
- A tutorial on Bayesian regression modeling☆11Feb 16, 2022Updated 4 years ago
- Implementations of var-sortability, sortnregress, and chain-orientation as presented in the article "Beware of the Simulated DAG": https:…☆15Nov 2, 2023Updated 2 years ago
- Website for the book "The Elements of Differentiable Programming".☆15Jul 2, 2025Updated last year
- Arithmetic with small and with very large rationals is made fast.☆22Jul 29, 2026Updated last month
- Data structures for linear and quadratic optimization problems based on NLPModels.jl☆22Jul 28, 2026Updated last month
- An exact Bayesian network structure learning software based on dynamic programming.☆14Jul 24, 2026Updated last month
- Reverse-mode automatic differentiation with delimited continuations☆17Jul 3, 2023Updated 3 years ago
- ☆19Dec 27, 2023Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Efficient minimax optimization for deep adversarial learning, and more.☆10Mar 28, 2019Updated 7 years ago
- String diagrams in LaTeX.☆20Jul 22, 2026Updated last month
- Code for the paper "Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation" by Alexander Levine and Soheil Feizi.☆10Aug 22, 2022Updated 4 years ago
- A fast and efficient way to compute a differentiable bound on the singular values of convolution layers☆12Nov 22, 2019Updated 6 years ago
- Implementation of the paper 'Stochastic Wasserstein Barycenters'☆11Oct 17, 2018Updated 7 years ago
- Evaluates the negativity of tweets in relation to candidate(s) that the tweeter follows☆10Jun 29, 2023Updated 3 years ago
- ☆18May 3, 2020Updated 6 years ago
- Package for the propagation of representations of low-rank matrices through finite compositions of common operations.☆22Mar 29, 2024Updated 2 years ago
- ☆22Dec 5, 2022Updated 3 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Delaunator in Julia☆25Jan 23, 2026Updated 7 months ago
- Repository for a TensorFlow class I taught at Caltech.☆14Jan 9, 2020Updated 6 years ago
- The Jacobi Davison diagonalization, python interface with fortran underlying.☆12Mar 25, 2019Updated 7 years ago
- JeLLyFysh - a Python application for all-atom event-chain Monte Carlo. Version 1.0 (August 1st, 2019)☆16Jul 7, 2023Updated 3 years ago
- An multi-platform spiking neural network simulator☆21Dec 28, 2021Updated 4 years ago
- CVPR 2019 paper "Disentangling Adversarial Robustness and Generalization".☆15Oct 28, 2019Updated 6 years ago
- Piecewise Deterministic Markov Processes in Julia☆21Jun 5, 2026Updated 3 months ago