mlcourse.ai VS Quaternion

Compare mlcourse.ai vs Quaternion and see what are their differences.

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mlcourse.ai Quaternion
85 3
9,382 627
- 2.1%
3.4 8.7
4 months ago about 2 months ago
Python C++
GNU General Public License v3.0 or later 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.
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.

mlcourse.ai

Posts with mentions or reviews of mlcourse.ai. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-25.

Quaternion

Posts with mentions or reviews of Quaternion. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-23.
  • OpenSUSE Linux Gains Momentum: A Look at Its Growing Popularity
    1 project | news.ycombinator.com | 26 Mar 2023
    > Meanwhile there have been exactly zero new F/OSS desktop apps for over a decade except IDEs and even those are mostly Electron-based. What a mess.

    Er, that's just objectively not true. Here's exactly one new FOSS desktop app: https://github.com/quotient-im/Quaternion - I don't know how old it is, but it's a Matrix client and Matrix is only 8 years old so less than a decade.

  • Haiku R1/beta4 has been released
    4 projects | news.ycombinator.com | 23 Dec 2022
  • Notes on Concurrency Bugs
    3 projects | news.ycombinator.com | 28 May 2022
    In terms of shared-memory threading concurrency, Send and Sync, and the distinction between &T and &Mutex and &mut T, were a revelation when I first learned them. It was a principled approach to shared-memory threading, with Send/Sync banning nearly all of the confusing and buggy entangled-state codebases I've seen and continue to see in C++ (much to my frustration and exasperation), and &Mutex providing a cleaner alternative design (there's an excellent article on its design at http://cliffle.com/blog/rust-mutexes/).

    My favorite simple concurrent data structure is https://docs.rs/triple_buffer/latest/triple_buffer/struct.Tr.... It beautifully demonstrates how you can achieve principled shared mutability, by defining two "handle" types (living on different threads), each carrying thread-local state (not TLS) and a pointer to shared memory, and only allowing each handle to access shared memory in a particular way. This statically prevents one thread from calling a method intended to run on another thread, or accessing fields local to another thread (since the methods and fields now live on the other handle). It also demonstrates the complexity of reasoning about lock-free algorithms (https://github.com/HadrienG2/triple-buffer/issues/14).

    I suppose &/&mut is also a safeguard against event-loop and reentrancy bugs (like https://github.com/quotient-im/Quaternion/issues/702). I don't think Rust solves the general problem of preventing deadlocks within and between processes (which often cross organizational boundaries between projects and distinct codebases, with no clear contract on allowed behavior and which party in a deadlock is at fault), and non-atomicity between processes on a single machine (see my PipeWire criticism at https://news.ycombinator.com/item?id=31519951). File saving is also difficult (https://danluu.com/file-consistency/), though I find that fsync-then-rename works well enough if you don't need to preserve metadata or write through file (not folder) symlinks.

What are some alternatives?

When comparing mlcourse.ai and Quaternion you can also consider the following projects:

napari - napari: a fast, interactive, multi-dimensional image viewer for python

diffractsim - ✨ A flexible diffraction simulator for exploring and visualizing physical optics.

attractors - Package for simulation and visualization of strange attractors.

fdtd - A 3D electromagnetic FDTD simulator written in Python with optional GPU support

quaternion - Add built-in support for quaternions to numpy

haiku - The Haiku operating system. (Pull requests will be ignored; patches may be sent to https://review.haiku-os.org).

concrete-numpy - Concrete-Numpy: A library to turn programs into their homomorphic equivalent.

pgadmin3 - PgAdmin3 с поддержкой PostgreSQL 16

GreyNSights - Privacy-Preserving Data Analysis using Pandas

mini-cheetah-tmotor-python-can - Python Motor Driver for Mini-Cheetah based Actuators: T-Motor AK80-6/AK80-9 using SocketCAN Interface

hiitpi - A workout trainer Dash/Flask app that helps track your HIIT workouts by analyzing real-time video streaming from your sweet Pi using machine learning and Edge TPU..

triple-buffer - Implementation of triple buffering in Rust