quickstep VS Pytorch

Compare quickstep vs Pytorch and see what are their differences.

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quickstep Pytorch
2 340
36 78,016
- 1.4%
2.7 10.0
7 months ago 5 days ago
C++ Python
Apache License 2.0 BSD 1-Clause License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.

quickstep

Posts with mentions or reviews of quickstep. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-07.

Pytorch

Posts with mentions or reviews of Pytorch. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-05-01.

What are some alternatives?

When comparing quickstep and Pytorch you can also consider the following projects:

Pylint - It's not just a linter that annoys you!

Flux.jl - Relax! Flux is the ML library that doesn't make you tensor

DataTex - DataTex is a tool for creating and managing LaTeX file databases, such as exercises, definitions, theorems, tables figures as well as Latex documents.

mediapipe - Cross-platform, customizable ML solutions for live and streaming media.

Vulkan-ValidationLayers - Vulkan Validation Layers (VVL)

Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing

pyusb - Easy USB access for Python

flax - Flax is a neural network library for JAX that is designed for flexibility.

guppy3 - guppy / heapy ported to Python3. It works for real!

tinygrad - You like pytorch? You like micrograd? You love tinygrad! ❤️ [Moved to: https://github.com/tinygrad/tinygrad]

Mono - Mono open source ECMA CLI, C# and .NET implementation.

Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more