giordano-lucas

DocParser-Pytorch

An unofficial Implementation of DocParser: End-to-end OCR-free Information Extraction from Visually Rich Documents

DocParser

nlm-ingestor

This repo provides the server side code for llmsherpa API to connect. It includes parsers for various file formats.

enchanted

Enchanted is iOS and macOS app for chatting with private self hosted language models such as Llama2, Mistral or Vicuna using Ollama.

react-print-pdf

Build and generate PDF using React 📄 UI kit for PDFs and print documents. Simple, reusable components and templates to create great invoices, docs, brochures. Use your favorite front-end framework React to build your next PDF.

loglizer

A machine learning toolkit for log-based anomaly detection [ISSRE'16]

loghub

A large collection of system log datasets for AI-driven log analytics [ISSRE'23]

presidio

Context aware, pluggable and customizable data protection and de-identification SDK for text and images

multinerd

Repository for the paper "MultiNERD: A Multilingual, Multi-Genre and Fine-Grained Dataset for Named Entity Recognition (and Disambiguation)" (NAACL 2022).

pyanomaly

Python library for asset pricing

TraceRCA

Practical Root Cause Localization for Microservice Systems via Trace Analysis. IWQoS 2021

anomatools

Toolbox for anomaly detection.

GAIA-DataSet

GAIA, with the full name Generic AIOps Atlas, is an overall dataset for analyzing operation problems such as anomaly detection, log analysis, fault localization, etc.

streamlit

Streamlit — A faster way to build and share data apps.

Zappa

Serverless Python

Hystrix

Hystrix is a latency and fault tolerance library designed to isolate points of access to remote systems, services and 3rd party libraries, stop cascading failure and enable resilience in complex distributed systems where failure is inevitable.

chaosmonkey

Chaos Monkey is a resiliency tool that helps applications tolerate random instance failures.

uncertainty-toolbox

Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization

pymc-learn

pymc-learn: Practical probabilistic machine learning in Python

catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

ensemble-transformers

Ensembling Hugging Face transformers made easy

FinBERT-MRC

nextjs-tailwind-ionic-capacitor-starter

A starting point for building an iOS, Android, and Progressive Web App with Tailwind CSS, React w/ Next.js, Ionic Framework, and Capacitor

UQ-PLM

Uncertainty Quantification with Pre-trained Language Models: An Empirical Analysis

Uncertainty-Driven-Perturbations

Repo for the paper: "Increasing the Classification Margin with Uncertainty Driven Perturbations"

scikit-learn

scikit-learn: machine learning in Python

auto-attack

Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"

adversarial-robustness-toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

conformal-prediction

Lightweight, useful implementation of conformal prediction on real data.

evidential-deep-learning

Learn fast, scalable, and calibrated measures of uncertainty using neural networks!