AIrsenal VS DeezyMatch

Compare AIrsenal vs DeezyMatch and see what are their differences.

AIrsenal

Machine learning Fantasy Premier League team (by alan-turing-institute)
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AIrsenal DeezyMatch
1 1
252 124
0.0% 0.0%
8.2 2.6
7 days ago over 1 year ago
Jupyter Notebook Jupyter Notebook
MIT License GNU General Public License v3.0 or later
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.

AIrsenal

Posts with mentions or reviews of AIrsenal. We have used some of these posts to build our list of alternatives and similar projects.
  • Fantasy premier league AI algorithms
    1 project | /r/CodingHelp | 24 Oct 2023
    I like this this bot that uses linear regression and I was wondering if I could take the same training data and use a better algorithm, what would be an appropriate algorithm i can use to train a better model?

DeezyMatch

Posts with mentions or reviews of DeezyMatch. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-15.

What are some alternatives?

When comparing AIrsenal and DeezyMatch you can also consider the following projects:

Practical_RL - A course in reinforcement learning in the wild

dedupe - :id: A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.

FinMind - Open Data, more than 50 financial data. 提供超過 50 個金融資料(台股為主),每天更新 https://finmind.github.io/

adaptnlp - An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.

QuantumKatas - Tutorials and programming exercises for learning Q# and quantum computing

Multi-Type-TD-TSR - Extracting Tables from Document Images using a Multi-stage Pipeline for Table Detection and Table Structure Recognition:

evidently - Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b

elon-bot - Discord AI bot capable of chatting and moderating, trained on conversation transcripts of Elon Musk

awesome-notebooks - A powerful data & AI notebook templates catalog: prompts, plugins, models, workflow automation, analytics, code snippets - following the IMO framework to be searchable and reusable in any context.

transformers-interpret - Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.