NBA-Machine-Learning-Sports-Betting VS best-of-ml-python

Compare NBA-Machine-Learning-Sports-Betting vs best-of-ml-python and see what are their differences.

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NBA-Machine-Learning-Sports-Betting best-of-ml-python
4 16
1,079 15,633
- 2.6%
6.4 7.8
12 days ago 7 days ago
Python Python
- Creative Commons Attribution Share Alike 4.0
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.

NBA-Machine-Learning-Sports-Betting

Posts with mentions or reviews of NBA-Machine-Learning-Sports-Betting. We have used some of these posts to build our list of alternatives and similar projects.

best-of-ml-python

Posts with mentions or reviews of best-of-ml-python. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-10.

What are some alternatives?

When comparing NBA-Machine-Learning-Sports-Betting and best-of-ml-python you can also consider the following projects:

sports-betting - Collection of sports betting AI tools.

Awesome-WAF - 🔥 Web-application firewalls (WAFs) from security standpoint.

nba-alt-awards

ktrain - ktrain is a Python library that makes deep learning and AI more accessible and easier to apply

Speech_driven_gesture_generation_with_autoencoder - This is the official implementation for IVA '19 paper "Analyzing Input and Output Representations for Speech-Driven Gesture Generation".

dtale - Visualizer for pandas data structures

Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials - A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

ffcv - FFCV: Fast Forward Computer Vision (and other ML workloads!)

AlphaPy - Python AutoML for Trading Systems and Sports Betting

awesome-python - An opinionated list of awesome Python frameworks, libraries, software and resources.

awpy - Python library to parse, analyze and visualize Counter-Strike 2 data

kmodes - Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data