Gender recognition by voice and speech analysis
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Updated
Jan 16, 2023 - R
The branch of computer science dealing with the reproduction, or mimicking of human-level intelligence, self-awareness, knowledge, conscience, and thought in computer programs.
Gender recognition by voice and speech analysis
📍 Interactive Studio for Explanatory Model Analysis
Repository for the familiar R-package. Familiar implements an end-to-end pipeline for interpretable machine learning of tabular data.
A time-series companion package to healthyR
healthyR.ai - AI package for the healthyverse
🧠️🖥️2️⃣️0️⃣️0️⃣️1️⃣️📜️ The document:wikis subcategory for AI2001, containing WikiData datasets
A machine learning pipeline accelerator, written in a form of R library.
😷 The Fill-Mask Association Test (FMAT): Measuring Propositions in Natural Language.
GenAI harnesses the power of advanced models like GPT-4 and Gemini Pro to serve as versatile coding and writing assistants for users in both R and, soon, Python. This toolbox empowers users with a range of capabilities, including text generation, code optimization, natural language processing, chat assistance, and image interpretation.
🧠️🖥️2️⃣️0️⃣️0️⃣️1️⃣️🔠️🔢️ The linguistic:English category for AI2001, containing English language linguistic datasets
Parallel Grid Search benchmark - H2O Machine Learning
🧠️🖥️2️⃣️0️⃣️0️⃣️1️⃣️🖌️ The images:graphic design subcategory for AI2001, containing graphic design datasets
Local Individual Conditional Expectation (localICE) is a local explanation approach from the field of eXplainable Artificial Intelligence (XAI)
Trustworthy LoS Prediction Based on Multi-modal Data (AIME 2023)
🧠️🖥️2️⃣️0️⃣️0️⃣️1️⃣️💾️📜️ The sourceCode:AngelScript category for AI2001, containing AngelScript programming language datasets
🧠️🖥️2️⃣️0️⃣️0️⃣️1️⃣️💾️📜️ The sourceCode:CAML category for AI2001, containing CAML programming language datasets
'Google Pathways Language Model 2 (PaLM 2)' as a coding and writing assistant designed for 'R'. With a range of functions, including natural language processing and coding optimization, to assist 'R' developers in simplifying tedious coding tasks and content searching.