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Top 14 Autodiff Open-Source Projects
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burn
Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.
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uncertainties
Transparent calculations with uncertainties on the quantities involved (aka "error propagation"); calculation of derivatives.
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SaaSHub
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exprgrad
An experimental deep learning framework for Nim based on a differentiable array programming language
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AutoDiff
A .NET library that provides fast, accurate and automatic differentiation (computes derivative / gradient) of mathematical functions. (by alexshtf)
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Mission : Impossible (AutoDiff)
A concise C++17 implementation of automatic differentiation (operator overloading)
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memoized_coduals
Shows that it is possible to implement reverse mode autodiff using a variation on the dual numbers called the codual numbers
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SaaSHub
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Project mention: 3 years of fulltime Rust game development, and why we're leaving Rust behind | news.ycombinator.com | 2024-04-26You can use libtorch directly via `tch-rs`, and at present I'm porting over to Burn (see https://burn.dev) which appears incredibly promising. My impression is it's in a good place, if of course not close to the ecosystem of Python/C++. At very least I've gotten my nn models training and running without too much difficulty. (I'm moving to Burn for the thread safety - their `Tensor` impl is `Sync` - libtorch doesn't have such a guarantee.)
Burn has Candle as one of its backends, which I understand is also quite popular.
You can implement autograd as a library. Just take a look at this
https://github.com/sradc/SmallPebble
The first line of the description is:
> SmallPebble is a minimal automatic differentiation and deep learning library written from scratch in Python, using NumPy/CuPy.
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).
Autodiff related posts
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Burn: Deep Learning Framework built using Rust
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Transitioning From PyTorch to Burn
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Burn Deep Learning Framework Release 0.12.0 Improved API and PyTorch Integration
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Supercharge Web AI Model Testing: WebGPU, WebGL, and Headless Chrome
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Fastest Autograd in the West
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Burn Deep Learning Framework 0.11.0 Released: Just-in-Time Automatic Kernel Fusion & Founding Announcement
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Burn Deep Learning Framework v0.11.0 Released: Just-in-Time Kernel Fusion
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A note from our sponsor - InfluxDB
www.influxdata.com | 4 May 2024
Index
What are some of the best open-source Autodiff projects? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | burn | 7,074 |
| 2 | dfdx | 1,611 |
| 3 | autodiff | 1,534 |
| 4 | DiffSharp | 574 |
| 5 | uncertainties | 538 |
| 6 | MyGrad | 186 |
| 7 | cl-waffe2 | 116 |
| 8 | exprgrad | 113 |
| 9 | SmallPebble | 112 |
| 10 | FastAD | 91 |
| 11 | AutoDiff | 85 |
| 12 | Mission : Impossible (AutoDiff) | 20 |
| 13 | tiny-autodiff | 6 |
| 14 | memoized_coduals | 3 |
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