Mercury-ad Alternatives

Similar projects and alternatives to mercury-ad

micrograd

22 8,273 0.0 Jupyter Notebook mercury-ad VS micrograd

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
GPU-Puzzles

12 5,022 3.4 Jupyter Notebook mercury-ad VS GPU-Puzzles

Solve puzzles. Learn CUDA.
WorkOS

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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.
Tensor-Puzzles

9 2,450 4.3 Jupyter Notebook mercury-ad VS Tensor-Puzzles

Solve puzzles. Improve your pytorch.
autograd

6 6,787 6.0 Python mercury-ad VS autograd

Efficiently computes derivatives of numpy code.
picoGPT

7 3,081 1.9 Python mercury-ad VS picoGPT

An unnecessarily tiny implementation of GPT-2 in NumPy.
SmallPebble

6 112 0.0 Python mercury-ad VS SmallPebble

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

5 1,178 8.2 OCaml mercury-ad VS owl

Owl - OCaml Scientific Computing @ https://ocaml.xyz
InfluxDB

www.influxdata.com sponsored

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.
AD-Rosetta-Stone

2 26 10.0 Scala mercury-ad VS AD-Rosetta-Stone

Examples of Automatic Differentiation (AD) in many different languages and systems
autodidact

1 901 10.0 Jupyter Notebook mercury-ad VS autodidact

A pedagogical implementation of Autograd

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better mercury-ad alternative or higher similarity.

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mercury-ad reviews and mentions

Posts with mentions or reviews of mercury-ad. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-08-24.

Understanding Automatic Differentiation in 30 lines of Python
9 projects | news.ycombinator.com | 24 Aug 2023

I wrote a purely functional AD library in Mercury [0], which adapts a general approach from [1]. I believe that Owl provides a similar approach [2].
[0] https://github.com/mclements/mercury-ad
Autodidax: Jax Core from Scratch (In Python)
4 projects | news.ycombinator.com | 11 Feb 2023

I find the solutions from https://github.com/qobi/AD-Rosetta-Stone/ to be very helpful, particularly for representing forward and backward mode automatic differentiation using a functional approach.
I used this code as inspiration for a functional-only (without references/pointers) in Mercury: https://github.com/mclements/mercury-ad