clrs
cp-algorithms
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| clrs | cp-algorithms | |
|---|---|---|
| 4 | 10 | |
| 376 | 6,511 | |
| 10.4% | 5.1% | |
| 4.7 | 9.3 | |
| about 2 months ago | 3 days ago | |
| Python | C++ | |
| Apache License 2.0 | Creative Commons Attribution Share Alike 4.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.
clrs
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[P] GITModel: Dynamically generate high-quality hierarchical topic tree representations of GitHub repositories using customizable GNN message passing layers, chatgpt, and topic modeling.
Example: https://github.com/deepmind/clrs
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[D] Is there any research into using neural networks to discover classical algorithms?
Bonus, there is this CLRS benchmark that might be useful for evaluation for your task.
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[R] A Generalist Neural Algorithmic Learner
The baseline code for the CLRS benchmark (which we use in the paper) has been open-sourced for a while now: https://github.com/deepmind/clrs
- GitHub - deepmind/clrs
cp-algorithms
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Do you know of any helpful sources like this for leetcode?
I've been learning alot from this git repository: https://cp-algorithms.com/ . Do you know of any of any sources or repositories like this that help with Leetcode or problem solving?
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Should I create an organisation from my personal account or should I create a separate GitHub user for my project?
I am aiming to create an open-source knowledge repository inspired by cp-algorithms.com . Now, I am planning this to be a long term project. This project MIGHT have different repositories, depending on how I structure the content. I am really confused between two alternatives:
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Data Engineer @ Hedge Fund looking to go into Quant
For interviews, if you can do competitive programming well that would def make you super competitive so check out codeforces and assorted sites and compete. There’s also a competitive programming handbook on the internet and this: https://cp-algorithms.com to help
- Programozás tanítása a közoktatásban
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AMA about my LC Journey
I did some CP and yes it opens up some new style of approaching problems with new ideas but its definitely not necessary. I would recommend the famous CSES problem set and start with codeforces . Try to give virtual div3 for starters and then jump to div2 if you feel comfortable. There is this site https://cp-algorithms.com/ which will be your best friend. Also take a look at this https://codeforces.com/blog/entry/57282 it has all the good articles on on algo/tricks/tips written by CF folks.
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Thinking like a programmer
I can also recommend, https://cp-algorithms.com/ and the competitive programmer handbook, regardless of your intentions these resources contain mental models and algorithms that have taken computer science many years tp develop.
- Catalog of algorithms?
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How to get better at problem solving /online judge
The best website about data structures and algorithms for CP is IMHO cp-algorithms.com. It might be overwhelming for beginners because it contains formal proofs but I found it invaluable. Be very careful with websites like geeks4geeks. I've seen many articles with bad explanations or even plain wrong information and/or implementations.
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what resources did you use to learn DSA ?
There are a few sites I visit often such as hackerank tuitorials, geek for geek and CP-Algorithm but mostly I just learn from the top solutions in LC discussion threads.
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i'm italian
(From https://cp-algorithms.com/graph/strongly-connected-components.html; licensed under https://github.com/e-maxx-eng/e-maxx-eng/blob/master/LICENSE)
What are some alternatives?
zingg - Scalable identity resolution, entity resolution, data mastering and deduplication using ML
competitive_programming - My solutions to programming contest problems from different sources (UVa, TopCoder, Live Archive, SPOJ, etc).
LeetCode-Solutions - A compilation of all the Leetcode solutions.
Daily-Coding-DS-ALGO-Practice - A open source project🚀 for bringing all interview💥💥 and competative📘 programming💥💥 question under one repo📐📐
algorithms - CLRS study. Codes are written with golang.
C-Plus-Plus - Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
tuninglib - A C++ Class and Template Library for Performance Critical Applications
algorithms - Algorithms & Data Structures & Computer Science studies
Crack-Your-Placement - 🎯 Repo for placement-preparation, DSA, Problem-Solving, Competitive Programming, CS-Fundamentals
cpeditor - The IDE for competitive programming :tada: | Fetch, Code, Compile, Run, Check, Submit :rocket:
callofcode - Coding exercises for beginners. Want to contribute, check out the issues.
cpalgorithms - Algorithms and Techniques for competitive programming