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 →
Top 23 automatic-differentiation Open-Source Projects
-
-
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.
-
pennylane
PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.
-
-
pinocchio
A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives
-
-
Arraymancer
A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends
-
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.
-
control-toolbox
The Control Toolbox - An Open-Source C++ Library for Robotics, Optimal and Model Predictive Control
-
-
aesara
Aesara is a Python library for defining, optimizing, and efficiently evaluating mathematical expressions involving multi-dimensional arrays.
-
-
-
-
Optimization.jl
Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable interface.
-
AeroSandbox
Aircraft design optimization made fast through modern automatic differentiation. Composable analysis tools for aerodynamics, propulsion, structures, trajectory design, and much more.
-
-
ChainRules.jl
forward and reverse mode automatic differentiation primitives for Julia Base + StdLibs
-
-
-
SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
git clone https://github.com/ggerganov/ggml cd ggml mkdir build cd build cmake .. make -j4 gpt-j ../examples/gpt-j/download-ggml-model.sh 6B
GitHub - gorgonia/gorgonia: Gorgonia is a library that helps facilitate machine learning in Go.
Project mention: Good examples of C++ source code for math oriented software development? | /r/cpp_questions | 2023-06-17
It is a small DSL written using macros at https://github.com/mratsim/Arraymancer/blob/master/src/array....
Nim has pretty great meta-programming capabilities and arraymancer employs some cool features like emitting cuda-kernels on the fly using standard templates depending on backend !
Project mention: Owl project (OCaml scientific computing) formally concluded | news.ycombinator.com | 2024-02-19
Project mention: Show HN: Curve Fitting Bezier Curves in WASM with Enzyme Ad | news.ycombinator.com | 2023-10-13Automatic differentiation is done using https://enzyme.mit.edu/
You seem somewhat obsessed with the idea that reverse-mode autodiff is not the same technique as forward-mode autodiff. It makes you,,, angry? Seems like such a trivial thing to act a complete fool over.
What's up with that?
Anyway, here's a forward differentiation package with a file that might interest you
https://github.com/JuliaDiff/ForwardDiff.jl/blob/master/src/...
Note: The project's README contains details on all available operations and layers.
Project mention: SciPy: Interested in adopting PRIMA, but little appetite for more Fortran code | news.ycombinator.com | 2023-05-18Interesting response. I develop the Julia SciML organization https://sciml.ai/ and we'd be more than happy to work with you to get wrappers for PRIMA into Optimization.jl's general interface (https://docs.sciml.ai/Optimization/stable/). Please get in touch and we can figure out how to set this all up. I personally would be curious to try this out and do some benchmarks against nlopt methods.
Project mention: Ask HN: Any interactive math tutorials that use a computational algebra system? | news.ycombinator.com | 2024-03-05I'm a senior level programmer who recently became interested in furthering my math education.
I also just became aware of computational algebra systems like emmy: https://github.com/mentat-collective/emmy
My question is: is there an interactive math curriculum/textbook/etc that uses such a system to teach the math? I would find that a lot more engaging than learning math the old way!
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).
automatic-differentiation related posts
- Deep Learning in Javascript
- The Elements of Differentiable Programming
- LLMs on your local Computer (Part 1)
- Show HN: Elodin – A better framework for physics simulation
- Ask HN: Any interactive math tutorials that use a computational algebra system?
- GGUF, the Long Way Around
- The Emmy Computer Algebra System
-
A note from our sponsor - InfluxDB
www.influxdata.com | 22 Apr 2024
Index
What are some of the best open-source automatic-differentiation projects? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | ggml | 9,566 |
| 2 | Gorgonia | 5,326 |
| 3 | pennylane | 2,106 |
| 4 | autodiff | 1,527 |
| 5 | pinocchio | 1,479 |
| 6 | Zygote.jl | 1,438 |
| 7 | Arraymancer | 1,304 |
| 8 | control-toolbox | 1,294 |
| 9 | owl | 1,179 |
| 10 | aesara | 1,160 |
| 11 | Enzyme | 1,153 |
| 12 | ForwardDiff.jl | 854 |
| 13 | js-pytorch | 803 |
| 14 | DeepLearning.scala | 763 |
| 15 | Optimization.jl | 658 |
| 16 | AeroSandbox | 651 |
| 17 | Tullio.jl | 581 |
| 18 | kotlingrad | 508 |
| 19 | torchopt | 494 |
| 20 | Grassmann.jl | 449 |
| 21 | ChainRules.jl | 409 |
| 22 | Enzyme.jl | 400 |
| 23 | emmy | 352 |
Sponsored
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com