Relightify: Relightable 3D Faces from a Single Image via Diffusion Models Papantoniou et al.: https://
arxiv.org/abs/2305.06077 #Artificialintelligence #DeepLearning #MachineLearning
RESEARCH
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Relightify: 3D Face Relighting from Single Images via Diffusion
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Causal AI and Bayesian Networks Free PDF eBook Download
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Causal #AI and Bayesian Networks — download 680-page PDF eBook: http://
web4.cs.ucl.ac.uk/staff/D.Barber
/textbook/240415.pdf
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#BigData #IoT #IIoT #IoTPL #IoTCL #IoTCommunity #DataScience #Statistics #AI #MachineLearning #LinkedData #Causality #NetworkScience -
Causalvis: Visualizations for Causal Inference in Machine Learning
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Causalvis: Visualizations for Causal Inference https://
bit.ly/43req0S #MachineLearning #AI #DataScience #DeepLearning -
MiniGPT-4 Open-Source Model for Complex Vision-Language Tasks
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MiniGPT-4: Open-Source Model for Complex Vision-Language Tasks Like GPT-4: GPT-4, with its multimodal capabilities, has been at the forefront of artificial intelligence (AI) developments. Now, a team of researchers has announced the creation of… https://
analyticsvidhya.com/blog/2023/04/m
inigpt-4-open-source-model-for-complex-vision-language-tasks-like-gpt-4/?utm_source=dlvr.it&utm_medium=twitter
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Machine Learning Predicts Building Energy Use Efficiency
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Predicting Site EUI Using Machine Learning: Introduction According to a report by the International Energy Agency (IEA), the lifecycle of buildings from construction to demolition was responsible for 37% of global energy-related and process-related CO2… https://
analyticsvidhya.com/blog/2023/04/p
redicting-site-eui-using-machine-learning/?utm_source=dlvr.it&utm_medium=twitter
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Self Query Technology Expands to Weaviate Platform
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Self query is really powerful – excited to see it expand to weaviate!
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Bard’s Hallucinations: Another AI Accuracy Challenge
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So, another one of Bard's hallucinatory trips?
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Stanford releases string2string tool for NLP and bioinformatics research
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(3/3) We hope string2string will be a valuable asset for researchers & practitioners across NLP, bioinformatics, CSS, and the digital humanities. Join us in the world of strings! Code: https://
github.com/stanfordnlp/st
ring2string
… Docs: https://
string2string.readthedocs.io/en/latest/ Paper: https://
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Stanford NLP releases string2string open-source library
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(1/3) Introducing string2string, an open-source library from StanfordNLP’s Mirac Suzgun (+me & @pmphlt
) for string-to-string problems, w/traditional & neural algorithms for string alignment, distance measurement, lexical & semantic search, similarity analysis, and more! -
Advanced Algorithms for NLP Evaluation and Text Analysis
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(2/3) Notable features include the Smith-Waterman, Hirschberg, Wagner-Fisher, and Knuth-Morris-Pratt algorithms, neural techniques like BARTScore, BERTScore, and Faiss, sacreBLEU & ROUGE for evaluation, and visualization tools & metrics for interpretation and analysis.