pyglove
autokeras
pyglove | autokeras | |
---|---|---|
3 | 5 | |
321 | 9,075 | |
0.9% | 0.2% | |
8.3 | 5.3 | |
11 days ago | about 2 months ago | |
Python | Python | |
Apache License 2.0 | Apache License 2.0 |
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.
pyglove
- PyGlove: Manipulating Python Programs
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🔥 Google Research Introduces An Extension of PyGlove: A General Purpose Python Library That Can Now Easily And Scalably Share Machine Learning Ideas As Code
👉 PyGlove represents ideas as symbolic rule-based patches, enabling researchers to write down the rules for models they have not seen. Quick Read: https://www.marktechpost.com/2023/02/08/google-research-introduces-an-extension-of-pyglove-a-general-purpose-python-library-that-can-now-easily-and-scalably-share-machine-learning-ideas-as-code/ Paper: https://arxiv.org/pdf/2302.01918.pdf Github: https://github.com/google/pyglove
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?
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[D] [P] How do you use tools like AutoML?
AutoKeras time_series_forecaster.py
What are some alternatives?
pond-evolution - Project about evolution in small pond.
autogluon - Fast and Accurate ML in 3 Lines of Code
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
mljar-supervised - Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
adanet - Fast and flexible AutoML with learning guarantees.
tf-keras-vis - Neural network visualization toolkit for tf.keras
automlbenchmark - OpenML AutoML Benchmarking Framework
AutoViz - Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
NAS-Projects - Automated deep learning algorithms implemented in PyTorch. [Moved to: https://github.com/D-X-Y/AutoDL-Projects]
deephyper - DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks
FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.