patrick-knab

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.

BayLime

bayesian lime

GLIME-General-Stable-and-Local-LIME-Explanation

GLIME is a post-hoc explanation method which is proved to be much more stable and faithful than LIME.

slime

lime

Lime: Explaining the predictions of any machine learning classifier

SLiMe

1-shot image segmentation using Stable Diffusion

voice-cloning-AI

Voice cloning AI (deepfake for voice). Using cloned voice from only 5-10 seconds of targeted voice.

AutoGPT

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

TimeSeries_Seq2Seq

This repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series forecasting. Networks are constructed with keras/tensorflow.

Pytorch-LRP

Basic LRP implementation in PyTorch

lrp_toolbox

The LRP Toolbox provides simple and accessible stand-alone implementations of LRP for artificial neural networks supporting Matlab and Python. The Toolbox realizes LRP functionality for the Caffe Deep Learning Framework as an extension of Caffe source code published in 10/2015.

Lime-For-Time

Application of the LIME algorithm by Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin to the domain of time series classification

Layerwise-Relevance-Propagation

Implementation of Layerwise Relevance Propagation for heatmapping "deep" layers

quiver

Interactive convnet features visualization for Keras

interpret

Fit interpretable models. Explain blackbox machine learning.

Tools-to-Design-or-Visualize-Architecture-of-Neural-Network

Tools to Design or Visualize Architecture of Neural Network

keras-grad-cam

An implementation of Grad-CAM with keras