Crack-Your-Placement
🎯 Repo for placement-preparation, DSA, Problem-Solving, Competitive Programming, CS-Fundamentals (by JyotiKumari2)
clrs
By google-deepmind
Our great sponsors
| Crack-Your-Placement | clrs | |
|---|---|---|
| 1 | 4 | |
| 16 | 376 | |
| - | 10.4% | |
| 5.4 | 4.7 | |
| 6 months ago | about 2 months ago | |
| C++ | Python | |
| - | Apache License 2.0 |
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.
Crack-Your-Placement
Posts with mentions or reviews of Crack-Your-Placement.
We have used some of these posts to build our list of alternatives
and similar projects.
-
100 Days of Coding Challenge.
Here is my CrackYourPlacement Repo Link
clrs
Posts with mentions or reviews of clrs.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-03-10.
-
[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
What are some alternatives?
When comparing Crack-Your-Placement and clrs you can also consider the following projects:
algo-ds-101 - algo-ds-101
zingg - Scalable identity resolution, entity resolution, data mastering and deduplication using ML
DSA - This repository contains useful algorithms and data structures implemented in the simplest way as much as we can.
LeetCode-Solutions - A compilation of all the Leetcode solutions.
callofcode - Coding exercises for beginners. Want to contribute, check out the issues.
algorithms - CLRS study. Codes are written with golang.
Coding - Data Structures and Algorithms (DSA) Preparation sheet
tuninglib - A C++ Class and Template Library for Performance Critical Applications
cp-algorithms - Algorithm and data structure articles for https://cp-algorithms.com (based on http://e-maxx.ru)
Crack-Your-Placement vs algo-ds-101
clrs vs zingg
Crack-Your-Placement vs DSA
clrs vs LeetCode-Solutions
Crack-Your-Placement vs callofcode
clrs vs algorithms
Crack-Your-Placement vs Coding
clrs vs tuninglib
Crack-Your-Placement vs tuninglib
clrs vs cp-algorithms
Crack-Your-Placement vs cp-algorithms
clrs vs callofcode