algo-ds-101
algo-ds-101 (by ahampriyanshu)
clrs
By google-deepmind
Our great sponsors
| algo-ds-101 | clrs | |
|---|---|---|
| 4 | 4 | |
| 151 | 376 | |
| - | 10.4% | |
| 9.6 | 4.7 | |
| over 2 years ago | about 2 months ago | |
| C++ | Python | |
| MIT License | 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.
algo-ds-101
Posts with mentions or reviews of algo-ds-101.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2020-10-29.
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First 6 pull requests DONE!
Sum of AP in JS for algo_ds_101
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Hacktoberfest! The first PR!
See, the requirement is not so hard. I believe with the basic knowledge of programming, any of us could solve this problem easily. You can have a look at my pull request at my first full request.
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.
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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
What are some alternatives?
When comparing algo-ds-101 and clrs you can also consider the following projects:
time-to-leave - Log work hours and get notified when it's time to leave the office and start to live.
zingg - Scalable identity resolution, entity resolution, data mastering and deduplication using ML