NBA-Machine-Learning-Sports-Betting VS AlphaPy

Compare NBA-Machine-Learning-Sports-Betting vs AlphaPy and see what are their differences.

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NBA-Machine-Learning-Sports-Betting AlphaPy
4 25
1,067 1,055
- 1.3%
6.4 6.7
5 days ago 3 months ago
Python Python
- Apache License 2.0
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.

AlphaPy

Posts with mentions or reviews of AlphaPy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-23.

What are some alternatives?

When comparing NBA-Machine-Learning-Sports-Betting and AlphaPy you can also consider the following projects:

best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

lazypredict - Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

sports-betting - Collection of sports betting AI tools.

guesslang - Detect the programming language of a source code

nba-alt-awards

Network-Intrusion-Detection-Using-Machine-Learning - A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach

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".

sup-res - A great companion for finding key support and resistance levels on financial charts, cryptocurrencies.

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.

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

data-science-ipython-notebooks - Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.