model-zoo
AlphaZero.jl
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model-zoo | AlphaZero.jl | |
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5 | 2 | |
883 | 1,216 | |
1.2% | - | |
4.6 | 3.5 | |
about 1 month ago | about 2 months ago | |
Julia | Julia | |
GNU General Public License v3.0 or later | MIT License |
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.
model-zoo
- sci-kit learn best for machine learning with Julia?
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Are there anyway to translate IPA to English? atleast, IPA text to pronounce sound
If your task is limited to isolated words or words that are separated by spaces, you can reverse the [CMU Pronouncing Dictionary](www.speech.cs.cmu.edu/cgi-bin/cmudict). In a programmatic environment with a dictionary/hash map, you will need to have the values be an extensible list of some sort to account for homophones. You could also train an ML model to convert phonemes to graphemes, like reversing this neural network model.
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Project in julia
You can also do some deep learning in Julia if you like. Flux.jl is Julia's deep learning library, and they have a model zoo of easy to follow working examples as a good starting point.
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Simple neural network model in Flux.jl doesn't seem to update the loss function
Secondly, flux.train! computes epochs automatically and is designed to take the entire data set. If you want to use the DataLoader, I think you probably need to write a custom training loop. It's not that complicated thankfully. The model zoo has some nice examples like: https://github.com/FluxML/model-zoo/blob/master/vision/mlp_mnist/mlp_mnist.jl
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Any Machine Learning Projects to Make with Julia
Check out the Flux.jl model zoo: https://github.com/FluxML/model-zoo#examples-listing
AlphaZero.jl
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Show HN: ChessCoach – A neural chess engine that comments on each player's moves
Could using something like AlphaZero.jl make it more efficient?
https://github.com/jonathan-laurent/AlphaZero.jl
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Ask HN: What are some tools / libraries you built yourself?
As a researcher in machine learning, I wanted to explore applications of Deepmind’s AlphaZero algorithm beyond board games (such as in automated theorem proving or chemical synthesis).
However, I noticed that existing open-source implementations of AlphaZero mostly consisted in complex C++ codebases that are highly specialized for specific games (eg. Leela Zero and LC0). Accessible Python implementations could be found but they were usually too slow to do anything useful on limited computing power.
Seeing this, I built AlphaZero.jl: https://github.com/jonathan-laurent/AlphaZero.jl
AlphaZero.jl is written in Julia and it is consistently one to two orders of magnitude faster than competing Python alternatives, while being equally simple and flexible. I just released a new version a few days ago with many new features (support for distributed computing, support for arbitrary MDPs...).
If you are a student, a researcher or a hacker curious about AlphaZero, please consider having a look!
What are some alternatives?
Flux.jl - Relax! Flux is the ML library that doesn't make you tensor
lowdefy - The config web stack for business apps - build internal tools, client portals, web apps, admin panels, dashboards, web sites, and CRUD apps with YAML or JSON.
Transformers.jl - Julia Implementation of Transformer models
vaku - vaku extends the vault api & cli
NaiveGAflux.jl - Evolve Flux networks from scratch!
fselect - Find files with SQL-like queries
reproduced_data
ChessCoach - Neural network-based chess engine capable of natural language commentary
FastAI.jl - Repository of best practices for deep learning in Julia, inspired by fastai
rupy - HTTP App. Server and JSON DB - Shared Parallel (Atomic) & Distributed
Lila - ♞ lichess.org: the forever free, adless and open source chess server ♞ [Moved to: https://github.com/lichess-org/lila]