nba-stats-analysis
TensorFlow-Examples
| nba-stats-analysis | TensorFlow-Examples | |
|---|---|---|
| 1 | 2 | |
| 2 | 43,225 | |
| - | - | |
| 2.7 | 0.0 | |
| almost 3 years ago | 3 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | GNU General Public License v3.0 or later |
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nba-stats-analysis
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Weekly Friday Self-Promotion and Fan Art Thread
I have been using it to make some analytics job on a couple of different points, as I start reading sources like Dean Oliver's Basketball on Paper, and have been uploading it to my GitHub repo. The format is in Jupyter Notebooks, so if anyone is familiar with Python, you can run it on your own computers.
TensorFlow-Examples
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Keras vs. TensorFlow
A linear regression model
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Tensorman and RTX 30-Series GPU's
When I run this simple project, the log output is below. There is a 5-minute pause at 16:48. There is a second pause at the end of the script before the output of the example (final output excluded). This project runs quickly if I exclude "--gpu" and run it on the CPU.
What are some alternatives?
nba_api - An API Client package to access the APIs for NBA.com
lego-mindstorms - My LEGO MINDSTORMS projects (using set 51515 electronics)
fastai - The fastai deep learning library
graphkit-learn - A python package for graph kernels, graph edit distances, and graph pre-image problem.
homemade-machine-learning - 🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
pyVHR - Python framework for Virtual Heart Rate
Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.
TensorFlow-Tutorials - TensorFlow Tutorials with YouTube Videos
Deep-Learning-Hardware-Benchmark - This repository contains the proposed implementation for benchmarking in order to evaluate whether a setup of hardware is feasible for deep learning projects.
rmi - A learned index structure
Deep-Learning-With-TensorFlow-Blog-series - All the resources and hands-on exercises for you to get started with Deep Learning in TensorFlow [Moved to: https://github.com/Rishit-dagli/Deep-Learning-With-TensorFlow]
TF_JAX_tutorials - All about the fundamental blocks of TF and JAX!