machine-learning-systems-design
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems" (by chiphuyen)
awesome-algorithms
A curated list of awesome places to learn and/or practice algorithms. (by tayllan)
| machine-learning-systems-design | awesome-algorithms | |
|---|---|---|
| 7 | 34 | |
| 8,346 | 17,656 | |
| - | - | |
| 0.0 | 3.1 | |
| about 1 year ago | 8 days ago | |
| HTML | ||
| - | - |
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.
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.
machine-learning-systems-design
Posts with mentions or reviews of machine-learning-systems-design.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-03-02.
-
Any recent E4 Meta onsite experiences?
huyenchip.com/machine-learning-systems-design/toc.html - another nice but compact resource
-
DevOps or SWE Courses for ML?
This also looks good: https://github.com/chiphuyen/machine-learning-systems-design
- ML System Design/Case Study Preparation material
-
100+ Must Know Github Repositories For Any Programmer
14. Machine Learning Systems Design
-
Interviewing for a Senior ML Engineer position
For ML system design, the best thing I have found so far is Chip Huyen's booklet - Machine Learning Systems Design. And of course, for generic system design - The System Design Primer.
- [D] Current ML Engineer Searching for Career Advice
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A friendly introduction to machine learning compilers and optimizers
I like Chip Huyen, she always writes about interesting stuff we overlook. I liked her system design for machine learning course too.
awesome-algorithms
Posts with mentions or reviews of awesome-algorithms.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-13.
-
Anyone interested in contributing to Algorithm opensource with me?
Solved. https://github.com/tayllan/awesome-algorithms
-
I didn't go to a IT/CS school, what's the most important concepts i should learn in computer since that will immensely help me as a dev?
This repo.
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Could anyone who purchased and completed Leetcodes's interview crash course "Data Structures and Algorithms" tell me if it's worth the 80 dollars?
I found this with zero effort: https://github.com/tayllan/awesome-algorithms. Just pick one of the courses there if you can't make up your mind.
-
Alternative to geeksforgeeks.org ?
https://github.com/tayllan/awesome-algorithms this curated list should be able to help you find more
- Algorithms
-
100+ Must Know Github Repositories For Any Programmer
2. Awesome Algorithms
-
Karimov's "The Complete Data Structures and Algorithms Course in Python" on Udemy?
Also, GitHub: Awesome algorithms — curated list of resources to learn and/or practice algorithms
- Looking for sources similar to this (linked below) but for CS
-
Sorting algorithms visualized using the Blender Python API
See also https://github.com/tayllan/awesome-algorithms for a list of interactive visualizations, learning resources, etc.
-
Best books about computer science theory?
Check out TCS, Algorithms, and Math awesome lists.
What are some alternatives?
When comparing machine-learning-systems-design and awesome-algorithms you can also consider the following projects:
You-Dont-Know-JS - A book series on JavaScript. @YDKJS on twitter.
C - Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.
nodebestpractices - :white_check_mark: The Node.js best practices list (February 2024)
awesome-math - A curated list of awesome mathematics resources
system-design-primer - Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
fluxsort - A fast branchless stable quicksort / mergesort hybrid that is highly adaptive.
developer-roadmap - Interactive roadmaps, guides and other educational content to help developers grow in their careers.
crumsort - A branchless unstable quicksort / mergesort that is highly adaptive.
50projects50days - 50+ mini web projects using HTML, CSS & JS
xeus-cling - Jupyter kernel for the C++ programming language
clean-code-javascript - :bathtub: Clean Code concepts adapted for JavaScript
SHOGUN - Shōgun
machine-learning-systems-design vs You-Dont-Know-JS
awesome-algorithms vs C
machine-learning-systems-design vs nodebestpractices
awesome-algorithms vs awesome-math
machine-learning-systems-design vs system-design-primer
awesome-algorithms vs fluxsort
machine-learning-systems-design vs developer-roadmap
awesome-algorithms vs crumsort
machine-learning-systems-design vs 50projects50days
awesome-algorithms vs xeus-cling
machine-learning-systems-design vs clean-code-javascript
awesome-algorithms vs SHOGUN