Ten core principles for generative AI use in government and public sector organisations.

This Model AI Governance Framework for Generative AI therefore seeks to set forth a systematic and balanced approach to address generative AI concerns while continuing to facilitate innovation.

This guidance addresses one type of generative AI, large multi-modal models (LMMs), which can accept one or more type of data input and generate diverse outputs that are not limited to the type of data fed into the algorithm.

The Algorithmic Transparency Certificate from Adigital offers a compliance solution for all those organizations that use AI systems in their daily activity, thus reinforcing confidence in these systems and technologies thanks to a well-understood transparency.

This document provides risk-management practices or controls for identifying, analyzing, and mitigating risks of large language models or other general-purpose AI systems (GPAIS) and foundation models. This document facilitates conformity with or use of leading AI risk management-related standards, adapting and building on the generic voluntary guidance in the NIST AI Risk Management Framework and ISO/IEC 23894, with a focus on the unique issues faced by developers of GPAIS.

This tool serves as guidelines that can be used as a reference material for stakeholders such as data scientists and AI model developers working in the field of AI product and service development, from a practical perspective to ensure the trustworthiness of AI. The guidelines presents 15 development requirements and 67 verification items that can be checked.

Efficient, scalable and enterprise-grade CPU/GPU inference server for Hugging Face transformer models.

Text classification models implemented in Keras, including: FastText, TextCNN, TextRNN, TextBiRNN, TextAttBiRNN, HAN, RCNN, RCNNVariant, etc.

A PyTorch implementation of Speech Transformer, an End-to-End ASR with Transformer network on Mandarin Chinese.

Repository for PyImageSearch Crash Course on Computer Vision and Deep Learning

A C++ & Python viewer for 3D data like meshes and point clouds

Pixel-Perfect Structure-from-Motion with Featuremetric Refinement (ICCV 2021, Best Student Paper Award)

Fast Coreference Resolution in spaCy with Neural Networks

Companion repository for the book Building Machine Learning Powered Applications.

Malware Detection and Classification Using Machine Learning

High-level Deep Learning Framework written in Kotlin and inspired by Keras

Book about interpretable machine learning.

Tensoflow implementation of InsightFace (ArcFace: Additive Angular Margin Loss for Deep Face Recognition).

Neural Networks written in go

A new one shot face swap approach for image and video domains.