awesome-ml4co
Awesome machine learning for combinatorial optimization papers. (by Thinklab-SJTU)
cryptosym
SAT-based, MILP, and belief propagation preimage attacks on SHA-256 and other cryptographic hash functions (by trevphil)
| awesome-ml4co | cryptosym | |
|---|---|---|
| 1 | 1 | |
| 1,472 | 35 | |
| 3.2% | - | |
| 6.7 | 0.0 | |
| 2 months ago | over 1 year ago | |
| Python | Python | |
| - | - |
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.
awesome-ml4co
Posts with mentions or reviews of awesome-ml4co.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-03-04.
-
Application of Deep Reinforcement Learning for Operations Research problems
I’m currently the PI for a program which is using RL for a CO problem. This is a great resource to get started in the field. Feel free to DM me if 1) you have any questions or 2) you want job applying this approach to various problems.
cryptosym
Posts with mentions or reviews of cryptosym.
We have used some of these posts to build our list of alternatives
and similar projects.
-
[R] To what extend can a machine learning algorithm predict the outcome of a random number generator?
Here's a repo I found: https://github.com/trevphil/preimage-attacks that concludes that same.
What are some alternatives?
When comparing awesome-ml4co and cryptosym you can also consider the following projects:
Awesome-Image-Inpainting - A curated list of image inpainting and video inpainting papers and resources
GeneticAlgorithmPython - Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
ecole - Extensible Combinatorial Optimization Learning Environments
ml4vrp - Geometric Deep Learning Models for Vehicle Routing Problem
SeaPearl.jl - Julia hybrid constraint programming solver enhanced by a reinforcement learning driven search.
GNNPapers - Must-read papers on graph neural networks (GNN)