keras-ncp
autokeras
| keras-ncp | autokeras | |
|---|---|---|
| 5 | 5 | |
| 150 | 9,066 | |
| - | 0.1% | |
| 0.0 | 5.3 | |
| over 1 year ago | about 1 month 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.
keras-ncp
- A brain-inspired intelligent agent that learns to control an autonomous vehicle directly from its camera inputs (end-to-end learning to control)
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MIT CSAIL, TU Wien, and IST Researchers Introduce Deep Learning Models That Require Fewer Neurons
Quick 5 Min Read | Paper| Github | MIT Blog
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What got you into learning ML?
One particular example that I really like is this research that used the biological neural circuitry of a nematode for less computationally expensive models, but with the same level of performance as other normal models. Also the application of attention in human brains to neural networks, which achieves really great results, like the popular GPT-3 by OpenAI .
- [Research]Biologically-inspired Neural Networks for Self-Driving Cars
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?
MMdnn - MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
autogluon - Fast and Accurate ML in 3 Lines of Code
mljar-supervised - Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
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.
sphinx - The Sphinx documentation generator
pydantic - Data validation using Python type hints