caglayantuna

vision_transformers_explained

This folder of code contains code and notebooks to supplement the "Vision Transformers Explained" series published on Towards Data Science written by Skylar Callis.

pytorch-grad-cam

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

Faster-RCNN-Global-Wheat-Detection

faster-r-cnn-tensorflow-api-custom

Faster R-CNN with Tensorflow Object Detection API for Custom Dataset.

vision-marker-detector

ImageClassification

Jupyter notebook showing how to build an image classifier with Python and Tensorflow

giskard

🐢 Open-Source Evaluation & Testing for LLMs and ML models

viz

Easy visualization and evaluation of matrix and tensor factorization models

one_year_tensoptly_notebook

explaining-in-style

quantum

Tensor-Based Quantum Machine Learning

tensorly

TensorLy: Tensor Learning in Python.

lab

An experimental lab for TensorLy