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Top 7 autodifferentiation Open-Source Projects
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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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uncertainties
Transparent calculations with uncertainties on the quantities involved (aka "error propagation"); calculation of derivatives.
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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.
Project mention: Tiny-autodiff: A tiny autograd library made for educational purposes in D | news.ycombinator.com | 2024-04-12
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).
autodifferentiation related posts
- Deep Learning in Rust: Burn 0.4.0 released and plans for 2023
- This year I tried solving AoC using Rust, here are my impressions coming from Python!
- Astray: A performance-portable geodesic ray tracing library.
- Point-to-Point Distance Constraint: Gradient of Forward Kinematics
- Autodiff: Simple C++17 library for Automatic Differentiation
- [D] To what extent can Rust be used for Machine Learning?
- What do I need for an ML/DL based scripting language in Rust?
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A note from our sponsor - SaaSHub
www.saashub.com | 26 Apr 2024
Index
What are some of the best open-source autodifferentiation projects? This list will help you:
Project | Stars | |
---|---|---|
1 | dfdx | 1,607 |
2 | autodiff | 1,532 |
3 | neuronika | 1,033 |
4 | uncertainties | 528 |
5 | MyGrad | 186 |
6 | FastAD | 92 |
7 | tiny-autodiff | 6 |
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