Bayesian entropy estimation in Python - via the Nemenman-Schafee-Bialek algorithm
☆52Mar 31, 2026Updated last month
Alternatives and similar repositories for ndd
Users that are interested in ndd are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Information Theoretic Tools for Python☆95Oct 2, 2019Updated 6 years ago
- Non-parametric Entropy Estimation Toolbox☆429Oct 5, 2022Updated 3 years ago
- Mutual information estimators and benchmarks☆14May 19, 2026Updated last week
- Percentile computation for pytorch☆21Mar 30, 2020Updated 6 years ago
- local non-uniformity correction for mutual information estimation☆72Jun 8, 2021Updated 4 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- C++ code and Python wrappers for Inference on Bayesian Non-Parametric Models☆12May 22, 2013Updated 13 years ago
- ITP (ETHZ) Exercise Sheets - LaTeX Style☆17Nov 25, 2014Updated 11 years ago
- AIND pipeline for processing extracellular electrophysiology data☆34Updated this week
- A python package for information-theoretic analysis of discrete and continuous data.☆28Feb 25, 2026Updated 3 months ago
- JavaScript simulation of the classical XY model☆14Sep 12, 2013Updated 12 years ago
- ☆12Nov 7, 2018Updated 7 years ago
- A quick realization of the quantum circuit of a matrix product state.☆11Aug 23, 2023Updated 2 years ago
- Basic Neuroimaging functions - stuff missing from nibabel and nilearn☆14May 8, 2026Updated 2 weeks ago
- angle-sequence☆12Apr 3, 2020Updated 6 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- ☆29Dec 23, 2019Updated 6 years ago
- Machine Learning Methods for Neural Data Analysis☆20May 16, 2025Updated last year
- CorBinian: A toolbox for modelling and simulating high-dimensional binary and count-data with correlations☆19Jul 26, 2021Updated 4 years ago
- Coding every Saturday 5PM-8PM at Maker Space, HKUST (GZ)☆14Mar 1, 2024Updated 2 years ago
- Simulated Dual Annealing for python and benchmarks☆15Mar 7, 2019Updated 7 years ago
- Python package for information theory.☆574Updated this week
- Reducing the Dimensionality of Data with Neural Network☆16Apr 27, 2016Updated 10 years ago
- Testing methods for estimating KL-divergence from samples.☆70Apr 13, 2026Updated last month
- Reduced-Rejection-Rate Monte Carlo for Ising spin models☆18Mar 16, 2022Updated 4 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- QCHS2022 Summer School Tutorial for Yao and Bloqade☆13Jan 13, 2023Updated 3 years ago
- bigquery-openstreetmap☆13Apr 24, 2020Updated 6 years ago
- lecture materials of the ML for Physics course 2021 in Perimeter Institute☆21Mar 31, 2021Updated 5 years ago
- STLink library with WebUSB☆12Jan 2, 2022Updated 4 years ago
- Note: "Deep Reinforcement Learning: An Overview"☆12Mar 26, 2018Updated 8 years ago
- A fermionic linear optics simulator backend for Yao.jl☆15Feb 27, 2026Updated 3 months ago
- Demonstration of Jackknife Variational Inference for Variational Autoencoders, related to ICLR 2018 paper.☆22Feb 21, 2018Updated 8 years ago
- ☆11Jan 28, 2019Updated 7 years ago
- [NeurIPS 24] Official Implementation (Pytorch) of "Inversion-based Latent Bayesian Optimization"☆10Nov 15, 2024Updated last year
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- JeLLyFysh - a Python application for all-atom event-chain Monte Carlo. Version 1.0 (August 1st, 2019)☆16Jul 7, 2023Updated 2 years ago
- Nonlinear Information Bottleneck☆54Jun 21, 2022Updated 3 years ago
- Yao.jl extension for plotting quantum circuit☆17Feb 23, 2024Updated 2 years ago
- Deep Learning Scaling tutorial material for the Deep Learning for Science School at Berkeley Lab☆10Jul 19, 2019Updated 6 years ago
- Holmes-Nemenman modified KSG continuous entropy estimator☆17May 23, 2021Updated 5 years ago
- A semi-agnostic ansatz with variable structure for variational quantum algorithms. Published in Quantum Machine Intelligence (2023). Opti…☆11Jan 4, 2026Updated 4 months ago
- This is a read-only mirror of the CRAN R package repository. dlm — Bayesian and Likelihood Analysis of Dynamic Linear Models☆10Sep 22, 2024Updated last year