Tensor-Puzzles VS mercury-ad

Compare Tensor-Puzzles vs mercury-ad and see what are their differences.

Tensor-Puzzles

Solve puzzles. Improve your pytorch. (by srush)
Machine Learning Puzzle Torch
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mercury-ad

Mercury library for automatic differentiation (by mclements)
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Tensor-Puzzles mercury-ad
9 2
2,481 6
- -
4.4 10.0
about 2 months ago over 1 year ago
Jupyter Notebook Mercury
MIT License GNU General Public License v3.0 only
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Tensor-Puzzles

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

mercury-ad

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

What are some alternatives?

When comparing Tensor-Puzzles and mercury-ad you can also consider the following projects:

GPU-Puzzles - Solve puzzles. Learn CUDA.

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

AD-Rosetta-Stone - Examples of Automatic Differentiation (AD) in many different languages and systems

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

autodidact - A pedagogical implementation of Autograd

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

autograd - Efficiently computes derivatives of numpy code.

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

Tensor-Puzzles vs GPU-Puzzles mercury-ad vs GPU-Puzzles Tensor-Puzzles vs picoGPT mercury-ad vs AD-Rosetta-Stone Tensor-Puzzles vs owl mercury-ad vs autodidact Tensor-Puzzles vs SmallPebble mercury-ad vs autograd Tensor-Puzzles vs micrograd mercury-ad vs owl Tensor-Puzzles vs AD-Rosetta-Stone