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adversarial-robustness-toolbox

Python library for adversarial machine learning, attacks and defences for neural networks, logistic regression, decision trees, SVM, gradient boosted trees, Gaussian processes and more with multiple framework support

alibi-1

Algorithms for monitoring and explaining machine learning models

alibi-detect

Algorithms for outlier detection, concept drift and metrics.

alpaca-lora

Instruct-tune LLaMA on consumer hardware

awesome-diffusion-models

A collection of resources and papers on Diffusion Models

captum

Model interpretability and understanding for PyTorch

cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

covid-19

COVID-19 Italia - Monitoraggio situazione

databricks-ml-examples

dice

Generate Diverse Counterfactual Explanations for any machine learning model.

dolly

Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform

dtd

etm

Topic Modeling in Embedding Spaces

foolbox

Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, Keras, …

infvoclda

Online Latent Dirichlet Allocation with Infinite Vocabulary using Variational Inference

kfserving

Model serving related infrastructure in Kubeflow

kor

LLM(😽)

lime-experiments

Code for all experiments.

llama-recipes

Examples and recipes for Llama 2 model

llm-python

Large Language Models (LLMs) tutorials & sample scripts, ft. langchain, openai, llamaindex, gpt, chromadb & pinecone

loglizer

A log analysis toolkit for automated anomaly detection [ISSRE'16]

logparser

A toolkit for automated log parsing [ICSE'19, TDSC'18, ICWS'17, DSN'16]

mlflow

Open source platform for the machine learning lifecycle

paper-2-data

privategpt

Interact privately with your documents using the power of GPT, 100% privately, no data leaks

pytorch-vqa

Strong baseline for visual question answering

shap

A game theoretic approach to explain the output of any machine learning model.