autokeras
crystal-book
Our great sponsors
| autokeras | crystal-book | |
|---|---|---|
| 5 | 2 | |
| 9,066 | 382 | |
| 0.3% | -0.3% | |
| 5.3 | 8.1 | |
| about 1 month ago | 6 days ago | |
| Python | Makefile | |
| Apache License 2.0 | 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.
autokeras
- Machine Learning Algorithms Cheat Sheet
-
Ask HN: Which piece of tech is underutilized?
I think the interfaces aren't high level enough for the average programmer to adopt it. It needs what https://autokeras.com is for neural nets.
- Technical documentation that just works
- SVM training taking forever on my local machine. Will using AWS Sagemaker be faster for training SVM (Linear) models?
-
[D] [P] How do you use tools like AutoML?
AutoKeras time_series_forecaster.py
crystal-book
-
Blocks and methods overloading
The other day while working on the Blocks section for the Crystal's tutorial, I came across something interesting about blocks, methods and overloading.
- Technical documentation that just works
What are some alternatives?
autogluon - Fast and Accurate ML in 3 Lines of Code
furo - A clean customizable documentation theme for Sphinx
mljar-supervised - Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
adanet - Fast and flexible AutoML with learning guarantees.
sphinx - The Sphinx documentation generator
tf-keras-vis - Neural network visualization toolkit for tf.keras
kotlin4example - Literate programming for Kotlin. Write markdown based documentation for your kotlin project with working examples.
automlbenchmark - OpenML AutoML Benchmarking Framework
emacs-keyboard-shortcuts - A list of Emacs keyboard shortcuts that I use on a regular basis.
AutoViz - Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
docs - The official Pi-hole documentation