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Top 8 Python uncertainty Projects
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uncertainty-toolbox
Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
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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.
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surface_normal_uncertainty
(ICCV 2021 - oral) Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation
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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)
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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
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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ipme
An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".
Project mention: Non official colab to create normal maps using "Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation" from baegwangbin | /r/Automate | 2023-05-09I 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.
Python uncertainty related posts
- Pytorch Lstm
- [D] What is the best approach to create embeddings for time series with additional historical events to use with Transformers model?
- 🚀 AWS launches Fortuna, an open-source library for Uncertainty Quantification
- 🚀 AWS launches Fortuna, an open-source library for Uncertainty Quantification
- Can someone help me with this? It's been days that i struggle with this problem, Forecasting w DeepAR
- Can someone help me with this? it's been days that i struggle with this problem
- When to go for an 'easy' time-series model vs. using a complex deep learning model (when having experience with the latter)
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A note from our sponsor - SaaSHub
www.saashub.com | 19 Apr 2024
Index
What are some of the best open-source uncertainty projects in Python? This list will help you:
Project | Stars | |
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1 | pytorch-forecasting | 3,578 |
2 | uncertainty-toolbox | 1,711 |
3 | fortuna | 845 |
4 | surface_normal_uncertainty | 196 |
5 | deep-kernel-transfer | 190 |
6 | Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control | 112 |
7 | rcps | 83 |
8 | ipme | 24 |