Fuel-Consumption-Estimator
nni
Fuel-Consumption-Estimator | nni | |
---|---|---|
18 | 5 | |
15 | 13,797 | |
- | 0.7% | |
10.0 | 4.5 | |
over 1 year ago | 9 days ago | |
Python | Python | |
MIT License | MIT License |
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.
Fuel-Consumption-Estimator
- [P] Desktop app. makes fuel consumption estimation with machine learning.
- My desktop app that makes fuel consumption estimation with artificial intelligence. Open source github repo. Please give a star for support me.
- [P] An application that optimizes the fuel consumption of your vehicles with artificial intelligence. Open source. Please star for support.
-
any decent ideas for a machine learning project using excel, r, SQL etc
The project just for you. Please star on github to support. Check out my other projects, you will definitely like it. Github link
- My desktop app that makes fuel consumption estimation with artificial intelligence. Open source github repo.
-
Open source project: Application that makes fuel consumption estimation with artificial intelligence.
Please give star for support me. Github Link
- My desktop app that makes fuel consumption estimation with artificial intelligence. Open source project.
-
An application that predicts fuel consumption of vehicles with artificial intelligence, aiming to save fuel. Completely Open source. You can star the github repo to support it.
The application is written entirely using python language and QT framework. The project is completely open source, come to the github repo to support you. Github repo. Click here
- Awesome artificial intelligent project. Open source repo.
- Awesome AI app. You can makes fuel consumption estimation with artificial intelligence. Please star for support.
nni
- Filter Pruning for PyTorch
-
Automated Machine Learning (AutoML) - 9 Different Ways with Microsoft AI
For a complete tutorial, navigate to this Jupyter Notebook: https://github.com/microsoft/nni/blob/master/examples/notebooks/tabular_data_classification_in_AML.ipynb
-
[D] Efficient ways of choosing number of layers/neurons in a neural network
optuna, hyperopt, nni, plenty of less-known tools too.
-
Top 10 Developer Trends, Sun Oct 18 2020
microsoft / nni
What are some alternatives?
igel - a delightful machine learning tool that allows you to train, test, and use models without writing code
optuna - A hyperparameter optimization framework
Machine-Learning-Collection - A resource for learning about Machine learning & Deep Learning
FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
venvipy - A GUI for managing Python virtual environments
autogluon - Fast and Accurate ML in 3 Lines of Code
PyQt-React-Boilerplate - A boilerplate for using python to build a desktop application using PyQt webengine and React.js as the application front-end.
AutoML - This is a collection of our NAS and Vision Transformer work. [Moved to: https://github.com/microsoft/Cream]
WebWidget - Basic Floating translucent WebBrowser Widget App for Windows.
hyperopt - Distributed Asynchronous Hyperparameter Optimization in Python
archai - Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
automlbenchmark - OpenML AutoML Benchmarking Framework