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aequitas

Aequitas, a directed fairness testing framework machine learning models.

aif360

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

amortizedcausaldiscovery

Code for the paper: Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data

arxivscraper

A python module to scrape arxiv.org for a date range and category

bert-as-service

Mapping a variable-length sentence to a fixed-length vector using BERT model

clearbias

ctl

A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python

django_injector

Dependency injection in Django.

llama_index

LlamaIndex (GPT Index) is a project that provides a central interface to connect your LLM's with external data.

mamba-test

nested_formdata

A library that parses nested json or form data to python object.

neuraxle

Build neat pipelines with the right abstractions to do AutoML. Let your pipeline steps have hyperparameter spaces. Enable checkpoints to cut duplicate calculations. Go from research to production environment easily.

odin

A simple and effective method for detecting out-of-distribution images in neural networks.

openapi-diff-action

A GitHub Action to identify differences between OpenAPI specifications. It uses OpenAPITools/openapi-diff.

pacman

presentation_rnn

scrapy_selenium_spider

Scrapy based crawler

simplellmbench

text

Data loaders and abstractions for text and NLP

trustllm

TrustLLM: Trustworthiness in Large Language Models

tvae

universal-data-tool

Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.

vaunorage.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes