100 Days of ML Coding
- machine-learning
- machine-learning-algorithms
- infographics
- tutorial
47,133 repositories indexed
1–24 of 25 · Most stars
100 Days of ML Coding
TranslatedAiLearning: Data Analysis + Machine Learning in Action + Linear Algebra + PyTorch + NLTK + TF2
A modern vue admin panel built with Vue3, Shadcn UI, Vite, TypeScript, and Monorepo. It's fast!
A Vue 3 Component Library. Fairly Complete. Theme Customizable. Uses TypeScript. Fast.
Translated:star: Linux / Windows / macOS cross-platform V2Ray client | Supports VMess / VLESS / SSR / Trojan / Trojan-Go / NaiveProxy / HTTP / HTTPS / SOCKS5 | Developed with C++ / Qt | Extensible plugin-style design :star:
TranslatedA clean, elegant, beautiful and powerful admin template, based on Vue3, Vite7, TypeScript, Pinia, NaiveUI and UnoCSS. Based on the latest front-end technology stack, including Vue3, Vite8, TypeScript, Pinia, NaiveUI and UnoCSS.
fancyss is a project providing tools to across the GFW on asuswrt/merlin based router.
Tiny RDM (Tiny Redis Desktop Manager) - A modern, colorful, super lightweight Redis GUI client for Mac, Windows, and Linux. It also provides a web version that can be deployed via Docker.
Make a fortune quietly
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
Naive linter for English prose
Lightning ⚡️ fast forecasting with statistical and econometric models.
Deep neural network to extract intelligent information from invoice documents.
Crack password hashes without the fuss :cat2:
Naive Bayesian Classification for Golang.
Naive-N0.5-Flash is an open-weight 309B MoE model with 15.5B active parameters, built for coding and AI R&D.
A Naive Bayes machine learning implementation in Elixir.
A naive InfluxDB backend for StatsD
A robust, full-featured Ruby implementation of Naive Bayes
Ruby Scoring API for PMML
Simple Naive Bayes classifier
This project presents a Python-based spam detector program that utilizes the Naive Bayes approach to classify emails as either spam or ham. The system is designed to accurately and efficiently identify spam messages, providing a useful tool for individuals and organizations seeking to manage their email inboxes more effectively.
Naive Bayes text classification implementation as an OmniCat classifier strategy. (#ruby #naivebayes)
Naive Proof of Concept Crypter for GNU/Linux ELF64