TexasSolver
openmc
| TexasSolver | openmc | |
|---|---|---|
| 44 | 4 | |
| 1,573 | 700 | |
| - | 2.4% | |
| 4.0 | 9.4 | |
| 22 days ago | 2 days ago | |
| C++ | Python | |
| GNU Affero General Public License v3.0 | GNU General Public License v3.0 or later |
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.
TexasSolver
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The Law of Large Numbers, or Why It Is a Bad Idea to Go to the Casino
I use GTO+ which is proprietary.
I just tried this one which works like a charm (just run the exe from the zip in github releases ; even comes pre-loaded with a wide amount of preflop ranges, which seem to come from a previous solve) : https://github.com/bupticybee/TexasSolver
Searching with "poker solver haskell" only seem to show very immature projects.
- Regarding bupticybee's TexasSolver on github, are there any additional resources that could assist with maneuvering/understanding the application?
- Any free GTO Solvers?
- Poker solver for Mac?
- Poker (NLH) model?
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Poker solvers for dummies: part 3 - the best solvers for beginners!
Texas Solver is a free one. I now of atleast one other free one that also works in the brower ( though with reduced RAM), but sadly forgot its name; if I remember I'll edit.
- Free postflop 100BB Cash Solvers
- Free solver with solid interface
- Is Piosolver worth it?
- Advanced Poker Math Book Suggestions
openmc
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The Law of Large Numbers, or Why It Is a Bad Idea to Go to the Casino
It was actually invented for this.
Open source radiation transport Monte Carlo code here if you'd like to play around:
https://github.com/openmc-dev/openmc
- Ask HN: Has anyone worked at the US National Labs before?
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The art of solving problems with Monte Carlo simulations
Even given their nuclear weapons origin, we lowly civil nuclear power engineers still use Monte Carlo methods all day every day. We all make our employers buy big supercomputers or get us access to the national lab leadership class HPC to just pound the hell out of our reactor design problems with random particle transport chains. Sure there are (dramatically) faster deterministic methods that are generally good enough, but Monte Carlo allows you to use exact geometry and not bother too much with the pesky art of computing average nuclear interaction probabilities.
Heck, my buddy at MIT made an open-source Monte Carlo code called OpenMC that's now run by Argonne National Lab [1]. Now everyone can do truly legit reactor design with Monte Carlo!
[1] https://github.com/openmc-dev/openmc
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What is the difference between std::bad_alloc and std::out_of_range
openmc source code
What are some alternatives?
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PokerMonteCarloAPI
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