☆191Jan 9, 2026Updated 4 months ago
Alternatives and similar repositories for neural_testbed
Users that are interested in neural_testbed are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆315Feb 11, 2026Updated 3 months ago
- Bayesian Bandits☆71Sep 3, 2023Updated 2 years ago
- A repository with implementations of major papers on Gaussian Process regression models, implemented from scratch in Python, notably incl…☆14Nov 19, 2022Updated 3 years ago
- Official Implementation of the paper: "A Rate-Distorion View of Uncertainty Quantification", ICML 2024☆29Sep 3, 2024Updated last year
- Official code for "ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference" (TMLR 2024)☆17Nov 7, 2024Updated last year
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆10Oct 21, 2022Updated 3 years ago
- ☆19Aug 19, 2021Updated 4 years ago
- Implementation of deep kernels in GPyTorch and Pyro☆13Jan 19, 2021Updated 5 years ago
- Percentile computation for pytorch☆21Mar 30, 2020Updated 6 years ago
- Code for experiments to learn uncertainty☆30Mar 16, 2023Updated 3 years ago
- This repository contains an official implementation of LPBNN.☆38Jun 28, 2023Updated 2 years ago
- Jax SSM Library☆48Nov 24, 2022Updated 3 years ago
- Implementation of different noise embeddings for noise aware training of Kaldi acoustic models.☆13Feb 13, 2021Updated 5 years ago
- Quantification of Uncertainty with Adversarial Models☆29Jul 11, 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.
- Source for the sample efficient tabular RL submission to the 2019 NIPS workshop on Biological and Artificial RL☆24Apr 14, 2022Updated 4 years ago
- Structural Time Series in JAX☆214May 8, 2024Updated 2 years ago
- Interference removal algorithm for multitrack live recordings☆11Jan 9, 2019Updated 7 years ago
- PIX is an image processing library in JAX, for JAX.☆438Mar 6, 2025Updated last year
- Repo for materials for coordinating work on improving Julia's function documentation☆10Jul 30, 2022Updated 3 years ago
- A CLIP conditioned Decision Transformer.☆22Jul 14, 2021Updated 4 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆45Jun 6, 2025Updated 11 months ago
- The official PyTorch code for AAAI'23 Paper "Sparse Coding in a Dual Memory System for Lifelong Learning"☆12Feb 15, 2023Updated 3 years ago
- Author's PyTorch Implementation of Deep Homomorphic Policy Gradient (DHPG) - NeurIPS 2022 and JMLR 2024☆24Apr 8, 2024Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆250Feb 20, 2026Updated 3 months ago
- ☆33Oct 4, 2024Updated last year
- Script and models for clustering LAION-400m CLIP embeddings.☆26Jan 10, 2022Updated 4 years ago
- ☆13Jul 26, 2023Updated 2 years ago
- ROCK Framework for Commonsense Causality Reasoning (CCR)☆10Jun 28, 2023Updated 2 years ago
- "How to Trust Your Diffusion Models: A Convex Optimization Approach to Conformal Risk Control"☆17Jan 6, 2026Updated 4 months ago
- A Python package for probabilistic state space modeling with JAX☆965Jan 6, 2026Updated 4 months ago
- Repository for Variational Linearized Laplace Approximation for Bayesian Deep Learning☆13Sep 6, 2024Updated last year
- the analysis script for PrismNet☆10May 17, 2020Updated 6 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- This is the code for the paper Embrace the Gap: VAEs perform Independent Mechanism Analysis, showing that optimizing the ELBO is equivale…☆22Apr 22, 2024Updated 2 years ago
- Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, …☆86Apr 5, 2023Updated 3 years ago
- Automatic Integration for Neural Spatio-Temporal Point Process models (AI-STPP) is a new paradigm for exact, efficient, non-parametric inf…☆25Oct 14, 2024Updated last year
- Domain Adaptation☆23Nov 27, 2021Updated 4 years ago
- ☆11Nov 8, 2023Updated 2 years ago
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆78May 18, 2022Updated 4 years ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Oct 23, 2023Updated 2 years ago