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bda_py_demos

Bayesian Data Analysis demos for Python

captum

Model interpretability and understanding for PyTorch

deepconfuse

ding-au.github.io

gpt4free

decentralising the Ai Industry, just some language model api's...

open-geo-tutorial

Tutorial of basic remote sensing and GIS methodologies using open source software (GDAL in Python or R)

pytorch-grad-cam

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

scenic

Scenic: A Jax Library for Computer Vision Research and Beyond

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

spacetimeformer

Multivariate Time Series Forecasting with efficient Transformers. Code for the paper "Long-Range Transformers for Dynamic Spatiotemporal Forecasting."

tobac

Tracking and object-based analysis of clouds

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.