svm

Collaborative pixel board where every pixel is a real on-chain transaction (memo CCv1 + tiny transfer) — the whole artwork rebuilds from raw chain history. Cookie Chain + Solana Devnet, one toggle. Live: https://loveoftheai.github.io/cookie-canvas/

Cookie Crumbs - fully on-chain tip jar cApp on Cookie Chain (SVM). Community tip splits, goals, embed widget. Republication after altaranexus-ship-it suspension.

SVM 与核方法实验室 · SMO 解析子问题 / KKT 五条件 / 核技巧 == 显式 φ / 2D 硬间隔精确最优性证书 · 零依赖单文件 HTML · 8 条不变量自检

Live Cookie Chain health, wallet lookup, and an AI analyst grounded in on-chain data

SVM Playground: An interactive, browser-based visualizer and educational tool for exploring Support Vector Machines, kernels, and decision boundaries.

Built for conversations that don't wait. ⚡

Generate custom vanity addresses on Solana and EVM chains with AWS KMS-secured minting

Open-source forensic transaction reproduction infrastructure for Solana

AI-powered Diabetes Risk Prediction Portal using React, FastAPI, and a Linear SVM machine learning model to analyze health indicators and predict diabetes risk.

Heart disease risk prediction — Django + SVM, deployable on Render

Canonical public chain metadata for Rome Protocol — chains, contracts, tokens, and program ids; read it instead of hardcoding.

Interpretable plant disease detection system using handcrafted computer vision features, image preprocessing, feature engineering, PCA analysis, and hierarchical SVM classification.

Financial sentiment analysis comparing LR, SVM and DistilBERT with backtesting against real stock prices

ML algorithms visualized in vanilla canvas — zero dependencies

No-code machine learning platform. Upload datasets, train ML models, and get predictions without writing code.

ML-based beta thalassemia carrier screening from CBC parameters for Sri Lankan primary care. SVM + SHAP explainability, MOH referral letters, couple screening, voice input, and analytics dashboard.

A beginner-friendly machine learning project that lets users upload animal images and classify them using traditional ML models like Logistic Regression, Decision Trees, Random Forests, k-NN, and SVM

Persistent agent identity and on-chain memory SDK for the X1 blockchain

Vegetation/non-vegetation land cover classification of Medellín's Green Corridors using Sentinel-2, Random Forest and SVM. Includes multi-temporal change detection and Landsat-8 LST analysis to assess urban reforestation impact.

IoT-based real-time patient health monitoring system using Raspberry Pi, with a live dashboard and ML models (RF, SVM, KNN) to classify patient condition from vitals.