uncertainty

Open-source projects categorized as uncertainty
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Language: + Python + Jupyter Notebook + HTML + Rust
Topics: uncertainty-quantification uncertainty-estimation Machine Learning Deep Learning conformal-prediction
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Top 13 uncertainty Open-Source Projects

  • pytorch-forecasting

    Time series forecasting with PyTorch

    • Project mention: FLaNK Stack Weekly for 14 Aug 2023 | dev.to | 2023-08-14

  • awesome-conformal-prediction

    A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

    • Project mention: Dive Deep into Conformal Prediction with This Ultimate Resource Compilation | news.ycombinator.com | 2024-04-15

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo

  • uncertainty-toolbox

    Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization

  • fortuna

    A Library for Uncertainty Quantification.

  • conformal-prediction

    Lightweight, useful implementation of conformal prediction on real data.

  • conformal_classification

    Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).

  • surface_normal_uncertainty

    (ICCV 2021 - oral) Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation

    • Project mention: Non official colab to create normal maps using "Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation" from baegwangbin | /r/Automate | 2023-05-09

    I needed normal maps for my movie and I saw in the new ControlNet update that they used https://github.com/baegwangbin/surface_normal_uncertainty to make normals which gave me better results than previous methods. So I decided to make a colab to process all my images because I didn't find how to do it in Automatic 1111.

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  • deep-kernel-transfer

    Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)

  • Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control

    Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gym environments

  • rcps

    Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"

  • ProSelfLC-AT

    noisy labels; missing labels; semi-supervised learning; entropy; uncertainty; robustness and generalisation.

  • friedrich

    A Rust implementation of Gaussian Process regression.

  • ipme

    An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

uncertainty related posts

  • Pytorch Lstm

    1 project | /r/pytorch | 5 Apr 2023

  • [D] What is the best approach to create embeddings for time series with additional historical events to use with Transformers model?

    1 project | /r/MachineLearning | 19 Mar 2023

  • 🚀 AWS launches Fortuna, an open-source library for Uncertainty Quantification

    1 project | /r/Bayes | 11 Jan 2023

  • 🚀 AWS launches Fortuna, an open-source library for Uncertainty Quantification

    1 project | /r/deeplearning | 11 Jan 2023

  • [R] Robust Learning: the past and present. The DNN has strong fitting capability, but we find ...

    2 projects | /r/MachineLearning | 25 Nov 2022

  • [R] ProSelfLC: Progressive Self Label Correction Towards A Low-Temperature Entropy State

    1 project | /r/MachineLearning | 26 Jul 2022

  • Can someone help me with this? It's been days that i struggle with this problem, Forecasting w DeepAR

    1 project | /r/deeplearning | 4 Apr 2022
  • A note from our sponsor - InfluxDB
    www.influxdata.com | 1 May 2024
    Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality. Learn more →

Index

What are some of the best open-source uncertainty projects? This list will help you:

Project Stars
1 pytorch-forecasting 3,611
2 awesome-conformal-prediction 3,381
3 uncertainty-toolbox 1,711
4 fortuna 851
5 conformal-prediction 648
6 conformal_classification 211
7 surface_normal_uncertainty 196
8 deep-kernel-transfer 190
9 Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control 114
10 rcps 83
11 ProSelfLC-AT 57
12 friedrich 50
13 ipme 24

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