AutoViz
autokeras
AutoViz | autokeras | |
---|---|---|
2 | 5 | |
1,621 | 9,066 | |
- | 0.3% | |
7.7 | 5.3 | |
29 days ago | about 1 month ago | |
Python | Python | |
Apache License 2.0 | Apache License 2.0 |
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AutoViz
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I need help lol
AutoViz: A Python library that automatically visualizes any dataset in just one line of code.
- AutoViz: Automatically visualize any dataset, any size with one line of code
autokeras
- Machine Learning Algorithms Cheat Sheet
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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?
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[D] [P] How do you use tools like AutoML?
AutoKeras time_series_forecaster.py
What are some alternatives?
mljar-supervised - Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
autogluon - Fast and Accurate ML in 3 Lines of Code
Auto_ViML - Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
hyper-api-samples - Sample code to get started with the Hyper API.
adanet - Fast and flexible AutoML with learning guarantees.
Hyperactive - An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
tf-keras-vis - Neural network visualization toolkit for tf.keras
sapientml - Generative AutoML for Tabular Data
automlbenchmark - OpenML AutoML Benchmarking Framework
dtale - Visualizer for pandas data structures
NAS-Projects - Automated deep learning algorithms implemented in PyTorch. [Moved to: https://github.com/D-X-Y/AutoDL-Projects]