Unleash the power of AI in your terminal with Clara ! 🌟 Revolutionising script automation with GPT-3.5 (and soon, GUVI-GPT & Llama2), this tool is a game-changer for developers who crave efficiency with a dash of fun. Whether you're coding in Python 🐍, planning for Go, or scripting in JavaScript, let AI do the heavy lifting.
Visualization of many Clustering Algorithms, via Notebook or GUI
ClaraN — Privacy-first, fully local AI workspace with Ollama LLM chat, tool calling, agent builder, Stable Diffusion, and embedded n8n-style automation. Backend in Rust. Just your stack, your machines.
It's a package containing functions that allow you to create your own color palette from an image, using mathematical algorithms
We will segment customers based on their purchasing behavior patterns using a modified LRFM metric to create more more targeted and personalized promotions.
CLARA — Clinical Longitudinal AI Research Assistant. 음성·영상 일일 캡처 + 시계열 추론, 웹
Bomberman clone in Clojure/ClojureScript
Some codes based on NVIDIA Clara SDK
Customers RFM Clustering (Market Segmentation based on Behavioral Approach)
Experimental mod to enable screen rotation on Kobo Clara models running software version 4.x.
Implementing machine learning by comparing the accuracy of the clustering algorithm on turbine gas emissions
VEV model from Mclust among 5 clustering algorithms has optimal performance and detected 8 distinct groups of users. Data was cleaned, standardized and feature-selected, PCA’s biplot, Ggplot, Radar plots, and parallel coordinate plots were applied for EDA.
People do shopping to fulfill their needs. Regardless of the shopping styles, every shopping activity has a specific purpose or mission.
Free BeamStation sample for White Space Finder in San Jose-Sunnyvale-Santa Clara (Metro), California, US (29 records in the full dataset)
🔬 Compare CLaRa (latent compression) vs RAG (prompt stuffing) for document QA. Educational demo with modular code, tests & examples.
In this project the Turkey Student Evaluation dataset which in question consists of feedback from students who attended multiple courses at Gazi University, Ankara used.To analyze the questions we used unsupervised learning methods, which involve finding patterns or groupings in a given dataset without any labeled output variable.
Free BeamStation sample for Tech-Ready Restaurants in the San Jose-Sunnyvale-Santa Clara Metro Area, CA, US (24 records in the full dataset)
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