└── README.md


/README.md:
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 1 | # Awesome Numerai [![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/sindresorhus/awesome)
 2 | 
 3 | A curated list of awesome numerai libraries, tutorials and other resources.
 4 | 
 5 | 
 6 | - [Libraries](#libraries)
 7 | - [Resources](#resources)
 8 |   - [Tutorials](#tutorials)
 9 |   - [Publications](#publicastions)
10 |   - [Websites](#websites)
11 | 
12 | 
13 | --
14 | 
15 | # Libraries
16 | 
17 | *numerai specific software libraries.*
18 | 
19 | * Python
20 |   * [numerapi](https://github.com/uuazed/numerapi) - Python API for the numerai tournament
21 |   * [opensignals](https://github.com/councilofelders/opensignals) - Download data and generate features for the Signals competition
22 |   * [numerai-cli](https://github.com/numerai/numerai-cli) - CLI for numerai compute.
23 |   * [numereval](https://github.com/parmarsuraj99/numereval) - A small library to locally reproduce the scores on numer.ai diagnistics dashboard.
24 | 
25 | * R
26 |   * [rnumerai](https://github.com/Omni-Analytics-Group/Rnumerai) - R Interface to the Numerai Machine Learning Tournament API
27 | 
28 | * Scala
29 | 
30 | 
31 | 
32 | # Resources
33 | 
34 | ## Tutorials
35 | * [Twitch Stream](https://www.twitch.tv/prof_jtaylor) - Twitch streams of Arbitrage.
36 | * [Twitch stream notebooks](https://github.com/jonrtaylor/twitch) - Notebooks from Arbitrage's Twitch streams.
37 | * [Slides and Notebooks](https://github.com/parmarsuraj99/numerai-guides/tree/master/KCL) - Slides and Notebooks of webinar on ML and Numerai at King's College London by SurajP.
38 | 
39 | ## Publications
40 | * Classic
41 |   * [An easy guide to “The hardest data science tournament on the planet”](https://towardsdatascience.com/a-guide-to-the-hardest-data-science-tournament-on-the-planet-748f46e83690)
42 |   * [How to get started with Numerai](https://www.kaggle.com/carlolepelaars/how-to-get-started-with-numerai)
43 |   * [Evaluating Financial Machine Learning Models on Numerai](https://parmarsuraj99.medium.com/evaluating-financial-machine-learning-models-on-numerai-3562da8fd90)
44 | * Signals
45 |   * [Let’s talk about Signals](https://parmarsuraj99.medium.com/lets-talk-about-signals-841934f24450)
46 |   * [Getting Started with Numerai Signals](https://www.kaggle.com/carlolepelaars/getting-started-with-numerai-signals)
47 |   * [From r/WSB to Numerai Signals](https://parmarsuraj99.medium.com/from-r-wsb-to-signals-684194364022)
48 |   * [Numerai Toronto meetup - Feb 2022](https://github.com/parmarsuraj99/numerai-guides/tree/master/signals_toronto)
49 | 
50 | ## Websites
51 | * [Numerai Payouts app](http://numeraipayouts.com/) - Numerai Payouts App by Ceunen to see daily performance changes and rewards on phone.
52 | * [Numerai Payouts Dashboard](https://dashboard.numeraipayouts.com/) - Lets you compare different models' performances with graphs by Ceunen.
53 | * [Numerati Dashboard](https://www.jofaichow.co.uk/numerati/data.html) - Models' scores and percentile ranks in a tabular format by ia_ai.
54 | * [Meetups](https://github.com/councilofelders/meetups) - Materials from CoE Meetups
55 | 
56 | # Contributing
57 | 
58 | Your contributions are always welcome! Please open a PR.
59 | 


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