ChristianOrr/feature-attribution-methods-jax

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ChristianOrr/feature-attribution-methods-jax

ChristianOrr

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Suite of methods that create attribution maps from image classification models.

transformers

Transformer creation from scratch using Jax.

Jupyter Notebook

semi-global-matching-numpy

Reimplementation of Semi-Global Matching depth estimation technique with Numpy.

Jupyter Notebook

sequential-ft-transformer

This is a implementation of the FT-Transformer using the Keras/Tensorflow 2 Functional API

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stereo-camera-calibration

Stereo camera calibration for depth estimation.

Jupyter Notebook

simple-jax-to-tensorrt-example

A MNIST model is defined and trained in Jax, then converted to TensorRT for inference.

confidence-measures

This repository contains a suite of confidence measures for depth estimation.

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reinforcement-learning-algorithms

Reinforcement learning algorithms

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