Beast code in Giters

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

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Awesome-CoreML-Models

Largest list of models for Core ML (for iOS 11+)

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autofocus

Deep learning computer vision for classifying wildlife in camera trap images

Language:Jupyter NotebookBSD-3-Clause5400

welib

Wind energy library, python and matlab tools for wind turbines analyses

Language:PythonMIT6400

windpowerlib

The windpowerlib is a library to model the output of wind turbines and farms.

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CameraTraps

PyTorch Wildlife: a Collaborative Deep Learning Framework for Conservation.

Language:Jupyter NotebookMIT74100

dairyCattle

A tool for modeling the nutrient requirement of dairy cattle.

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balena-sdk

The SDK to make balena powered JavaScript applications.

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Americas-Cup-Data-Lib

A C# implementation of a client library for the America's Cup Data Stream API.

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GPflow

Gaussian processes in TensorFlow

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Plots.jl

Powerful convenience for Julia visualizations and data analysis

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dronekit-python

DroneKit-Python library for communicating with Drones via MAVLink.

Language:PythonApache-2.0154000

Paraglidable

A.I.-based flying conditions forecast for paragliding

Language:PythonGPL-3.09300

pytorch_geometric

Graph Neural Network Library for PyTorch

Language:PythonMIT2079700

Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.com/pymc-devs/pytensor

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