sports-betting
Collection of sports betting AI tools. (by georgedouzas)
yellowbrick
Visual analysis and diagnostic tools to facilitate machine learning model selection. (by DistrictDataLabs)
sports-betting | yellowbrick | |
---|---|---|
- | 2 | |
311 | 4,198 | |
- | 0.3% | |
7.5 | 2.8 | |
about 1 month ago | 9 months ago | |
Python | Python | |
MIT License | 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.
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.
sports-betting
Posts with mentions or reviews of sports-betting.
We have used some of these posts to build our list of alternatives
and similar projects.
We haven't tracked posts mentioning sports-betting yet.
Tracking mentions began in Dec 2020.
yellowbrick
Posts with mentions or reviews of yellowbrick.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-10-28.
- [D] DL Practitioners, Do You Use Layer Visualization Tools s.a GradCam in Your Process?
-
Any interesting open projects to join? Or anyone want with some good ideas want to start one?
I have contributed to Yellowbrick in the past. https://github.com/DistrictDataLabs/yellowbrick/
What are some alternatives?
When comparing sports-betting and yellowbrick you can also consider the following projects:
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.
kmodes - Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data