Autodiff

Open-source projects categorized as Autodiff
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Language: + Python + C++ + Rust + F# + Common Lisp + Nim + C# + D
Topics: automatic-differentiation Deep Learning Machine Learning autodifferentiation neural-network
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Top 14 Autodiff Open-Source Projects

  • burn

    Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.

    • Project mention: Transitioning From PyTorch to Burn | dev.to | 2024-02-14

    [package] name = "resnet_burn" version = "0.1.0" edition = "2021" [dependencies] burn = { git = "https://github.com/tracel-ai/burn.git", rev = "75cb5b6d5633c1c6092cf5046419da75e7f74b11", features = ["ndarray"] } burn-import = { git = "https://github.com/tracel-ai/burn.git", rev = "75cb5b6d5633c1c6092cf5046419da75e7f74b11" } image = { version = "0.24.7", features = ["png", "jpeg"] }

  • dfdx

    Deep learning in Rust, with shape checked tensors and neural networks

    • Project mention: Shape Typing in Python | news.ycombinator.com | 2024-04-13

  • 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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  • autodiff

    automatic differentiation made easier for C++

    • Project mention: The Elements of Differentiable Programming | news.ycombinator.com | 2024-03-22

  • DiffSharp

    DiffSharp: Differentiable Functional Programming

  • uncertainties

    Transparent calculations with uncertainties on the quantities involved (aka "error propagation"); calculation of derivatives.

  • MyGrad

    Drop-in autodiff for NumPy.

  • cl-waffe2

    [Experimental] Graph and Tensor Abstraction for Deep Learning all in Common Lisp

    • Project mention: Deep Learning Framework in Common Lisp | news.ycombinator.com | 2023-11-20

  • 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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  • exprgrad

    An experimental deep learning framework for Nim based on a differentiable array programming language

  • SmallPebble

    Minimal deep learning library written from scratch in Python, using NumPy/CuPy.

    • Project mention: Fastest Autograd in the West | news.ycombinator.com | 2024-01-05

    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.

  • FastAD

    FastAD is a C++ implementation of automatic differentiation both forward and reverse mode.

  • AutoDiff

    A .NET library that provides fast, accurate and automatic differentiation (computes derivative / gradient) of mathematical functions. (by alexshtf)

  • Mission : Impossible (AutoDiff)

    A concise C++17 implementation of automatic differentiation (operator overloading)

  • tiny-autodiff

    A tiny autograd library made for educational purposes.

    • Project mention: Tiny-autodiff: A tiny autograd library made for educational purposes in D | news.ycombinator.com | 2024-04-12

  • memoized_coduals

    Shows that it is possible to implement reverse mode autodiff using a variation on the dual numbers called the codual numbers

  • SaaSHub

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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). The latest post mention was on 2024-04-13.

Autodiff related posts

Index

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

Project Stars
1 burn 6,948
2 dfdx 1,600
3 autodiff 1,527
4 DiffSharp 572
5 uncertainties 527
6 MyGrad 185
7 cl-waffe2 115
8 exprgrad 113
9 SmallPebble 112
10 FastAD 92
11 AutoDiff 85
12 Mission : Impossible (AutoDiff) 20
13 tiny-autodiff 6
14 memoized_coduals 3

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