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Top 15 Jupyter Notebook Algorithm Projects
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The-Complete-FAANG-Preparation
Dive into this repository, a comprehensive resource covering Data Structures, Algorithms, 450 DSA by Love Babbar, Striver DSA sheet, Apna College DSA Sheet, and FAANG Questions! 🚀 That's not all! We've got Technical Subjects like Operating Systems, DBMS, SQL, Computer Networks, and Object-Oriented Programming, all waiting for you.
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InfluxDB
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numerical-linear-algebra
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
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awesome-ai-ml-dl
Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.
Project mention: Show HN: Llama 3.2 Interpretability with Sparse Autoencoders | news.ycombinator.com | 2024-11-21From https://news.ycombinator.com/item?id=34619013 :
> /? awesome "explainable ai" https://www.google.com/search?q=awesome+%22explainable+ai%22
- (Many other great resources)
- https://github.com/neomatrix369/awesome-ai-ml-dl/blob/master... :
> Post model-creation analysis, ML interpretation/explainability
> /? awesome "explainable ai" "XAI"
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Deep_Learning_Machine_Learning_Stock
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
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I agree that it may not be the most readable format. So far, the best-structured piece on similar topics I’ve seen is Algorithmica: <https://en.algorithmica.org/hpc>.
I am sure it overlaps in terms of topics, maybe even some examples, but the homepage suggests that the book is about 500 pages long. I generally don’t have a time budget to read that much, and in most cases, I want to play with the code more than read the text, especially when some new IO_uring feature, a metaprogramming tool, or an Assembly instruction comes out.
Another observation is that people don’t like to read into 5000-word essays on each topic. At best, those become training materials for the next LLMs and will affect future code only indirectly…
I’m all ears for alternative formats if you have recommendations, as I generally reimplement such projects every couple of years ;)
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Multi-Type-TD-TSR
Extracting Tables from Document Images using a Multi-stage Pipeline for Table Detection and Table Structure Recognition:
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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Awesome-Competitive-Programming
Must-know competitive programming problems with solutions and intuitive visualizations (by leduckhai)
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PyVerse
PyVerse is an open-source collection of diverse Python projects, tools, and scripts, ranging from beginner to advanced, across various domains like machine learning, web development, and automation.
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reweight-gpt
Reweight GPT - a simple neural network using transformer architecture for next character prediction
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Understanding_the_EM_Algorithm
Codes for my blog post "Understanding the EM Algorithm" https://mistylight.github.io/posts/20115/
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DSA
This repository contains useful algorithms and data structures implemented in the simplest way as much as we can. (by venkateshpensalwar)
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visualizingRuntimes
Use code to visualize and determine runtime complexities for different algorithms.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
Jupyter Notebook Algorithms discussion
Jupyter Notebook Algorithms related posts
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Ask HN: Recommendations for high quality, free CS books online
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Algorithms for Modern Hardware – Algorithmica
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Open source python coding interview book
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The puzzles became too hard for me to learn from, and I want to git gud
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Advent of Code 2021 Python Solution: Day 2
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Yann LeCun’s 2021 Deep Learning Course at CDs free and fully online
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RoadMap to dive into the world of Machine Learning
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A note from our sponsor - InfluxDB
www.influxdata.com | 16 Jun 2025
Index
What are some of the best open-source Algorithm projects in Jupyter Notebook? This list will help you:
# | Project | Stars |
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1 | The-Complete-FAANG-Preparation | 11,238 |
2 | numerical-linear-algebra | 10,465 |
3 | awesome-ai-ml-dl | 1,553 |
4 | Deep_Learning_Machine_Learning_Stock | 1,487 |
5 | gdrl | 907 |
6 | amh-code | 757 |
7 | Multi-Type-TD-TSR | 277 |
8 | pyquest | 235 |
9 | Awesome-Competitive-Programming | 197 |
10 | PyVerse | 102 |
11 | reweight-gpt | 54 |
12 | Understanding_the_EM_Algorithm | 7 |
13 | DSA | 3 |
14 | Adevent-Of-Code | 2 |
15 | visualizingRuntimes | 2 |