create-tf-app
data-science-ipython-notebooks
| create-tf-app | data-science-ipython-notebooks | |
|---|---|---|
| 3 | 1 | |
| 4 | 26,600 | |
| - | - | |
| 10.0 | 0.0 | |
| over 1 year ago | 3 months ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 or later |
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.
create-tf-app
-
[P] create-tf-app: Set up and maintain a machine learning project with a single script.
Check it out on: https://github.com/radi-cho/create-tf-app/ I am open to feedback and discussions. Contributions are also appreciated.
-
create-tf-app: TensorFlow template + shell script to manage environments and initialize projects
Hello, I am currently setting up a simple TensorFlow template + shell script to manage environments and initialize projects. WIP: https://github.com/radi-cho/create-tf-app. I wanted to survey the community on whether such a tool would be useful and if you can provide feedback on the implementation:)
data-science-ipython-notebooks
-
Beginner in Python for Data Science
data science ipython notebooks
What are some alternatives?
Keras - Deep Learning for humans
manjaro-linux - Shell scripts for setting up Manjaro Linux for Python programming and deep learning
d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
BirdNET - Soundscape analysis with BirdNET.
Ray - Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
fugue - A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites.
datasets - 🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
kmodes - Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data
sports-betting - Collection of sports betting AI tools.
PMapper - A tool for quickly evaluating IAM permissions in AWS.
data-science - :bar_chart: Path to a free self-taught education in Data Science!
listenbrainz-server - Server for the ListenBrainz project, including the front-end (javascript/react) code that it serves and all of the data processing components that LB uses.