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

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

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best-of-ml-python NBA-Machine-Learning-Sports-Betting
16 4
15,335 1,047
1.5% -
7.8 6.5
2 days ago 9 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.

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.

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.

What are some alternatives?

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

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

sports-betting - Collection of sports betting AI tools.

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

nba-alt-awards

dtale - Visualizer for pandas data structures

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".

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

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.

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

AlphaPy - Python AutoML for Trading Systems and Sports Betting

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

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