Python

Researchers at MIT Startup ‘DataCebo,’ Introduce Synthetic Data Metrics: An Open-Source Python Library That Evaluates Synthetic Data By Comparing It To The Real Data...

Synthetic Data (SD) Metrics is a new tool developed by DataCebo, a startup born out of MIT's Computer Science & Artificial Intelligence Laboratory (CSAIL)...

Meet ‘Phraser’: A New Artificial Intelligence (AI) Tool That Uses Machine Learning to Help Users Write Prompts for Neural Networks

According to the creators, Phraser is the only software program in the world that employs machine learning to assist users in creating neural network...

Meet ‘OcrPy,’ A Python Library To Let Users OCR, Archive, Index, And Search Any Documents With Ease

OCR, or optical character recognition, is one of the major computer vision applications. We frequently find ourselves taking images of documents to send to...

Google AI Open-SourcesĀ ‘Rax’, A Python Library for LTR (Learning to Rank) in the JAX ecosystem

Rax, a library for LTR in the JAX ecosystem, was recently created by Google AI to address this problem. Rax adds decades of LTR...

Meet Microsoft’s ‘Bonsai Brain’: A Low-Code AI Platform That Speeds AI-Powered Automation Development

Microsoft's recent ongoing project called Bonsai Brain is dedicated to modeling and creating a low-code-based AI component that can be applied to various autonomous...

Researchers From Italy Introduce ‘ferret’: A Novel Python Library for Benchmarking Explainers on Transformers

Explainable AI (XAI) has seen steady growth in recent years. Innovative methods include calculating Shapley Values, quantifying backward pass gradients, occluding input sections, counterfactual...

CMU Researchers Open-Source ‘auton-survival’: A Comprehensive Python Code Repository of User-Friendly, Machine Learning Tools for Working with Censored Time-to-Event Data

Machine learning is being used in almost every industry, including healthcare. However, due to the intrinsic complexity of healthcare data, classical machine learning faces...

Microsoft AI Releases ‘DeepSpeed Compression’: A Python-based Composable Library for Extreme Compression and Zero-Cost Quantization to Make Deep Learning Model Size Smaller and Inference...

Research in deep learning and AI is being revolutionized by large-scale models, which has resulted in significant advancements in numerous areas, including multilingual translation,...

Meta AI Open-Sources Theseus: A Python Library For Encoding Domain Knowledge In End To End Artificial Intelligence Models

New research by Meta AI develops Theseus, a library for an optimization technique termed differentiable nonlinear least squares (NLS). Researchers may quickly incorporate domain...

Meet IntelĀ® Neural Compressor: An Open-Source Python Library for Model Compression that Reduces the Model Size and Increases the Speed of Deep Learning Inference...

Intel has recently released Neural Compressor, an open-source Python package for model compression. This library can be applied to deep learning deployment on CPUs...

Meet MutableAI; A Machine Learning Powered Python Code Assistant for Jupyter

Developing and deploying machine learning (ML) models takes a lot of time because ML pipelines involve many different job functions. As a result, it...

Researchers from George Mason and Emory University Develop ‘RES’: a Robust Python Framework for Learning to Explain DNNs (Deep Neural Networks) with Explanation Supervision

The study on explainability or explainable AI is currently receiving a lot of attention as DNNs become accessible in a variety of application domains....

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