Top Finds

Create stunning text images with Calligrapher, a diffusion-based framework for customizable digital calligraphy. Explore your creativity on GitHub! 🌟👩💻

Production-style Hybrid RAG system with semantic + keyword retrieval, re-ranking, and evaluation framework.

Professional project by Gabriel Demetrios Lafis

📈 Simulate AI-driven trading strategies locally or online with privacy and interactive leaderboards in this open source trading simulator.

🔍 Create AI experts on-demand for multi-agent conversations with real-time web research and intelligent context management.

LSTM-FinTrends is an end-to-end project showcasing stock index direction forecasting using an LSTM model with derived metrics. It demonstrates a complete workflow, from data collection with yfinance to visualization via a Flask app. Automated using GitHub Actions, this project emphasizes the setup and execution of DL in financial forecasting.

🧠 Qualify leads with an AI-driven system that understands intent, asks key questions, and structures quality leads without hardcoding processes.

🎬 Discover movies effortlessly with CineRAG, a RAG system that combines natural language queries and intelligent retrieval for personalized recommendations.

Generate and customize Haydee character outfits using an intuitive AI-powered graphical interface for quick and precise design control.

Serverless AI news curation pipeline: 36 RSS feeds → Gemini 3 Flash dual-pass → Japanese morning brief. Delivered via GitHub Pages, LINE, and X.

🎥 Transform videos into accurate transcripts and intelligent summaries across 30+ platforms with this AI-powered tool.

📁 Streamline file management with Smart_Organizer, an intelligent tool that automates file sorting, renaming, and organization with machine learning.

🤖 Generate realistic human-human-object interactions from text descriptions using advanced machine learning techniques. Enhance your AI projects with nuanced context.

🔧 Optimize prompts for various AI providers with an autonomous agent that learns, adapts, and reports changes effectively.

🤖 Explore AI agent architectures with agentic-ai, featuring ReAct agents, reflection-based designs, and modular LLM integrations using LangChain and LangGraph.

🎧 Unlock audio insights with Step-Audio-R1.1, the first model that scales compute during testing for enhanced performance and flexibility.

🛠️ Summarize text, audio, and video content efficiently with our AI-powered multimodal system for quick, concise insights.

Accelerate LLM inference by running speculative decoding in parallel, improving speed without sacrificing exactness or output quality.

Comprehensive R analytics skill for Claude Code with 93 package-level skills covering data manipulation, visualization, machine learning, web development, spatial analysis, and more.

📝 Rewrite texts in the style of ancient works using historical scripts and languages, with style adaptation and transliteration tools for unique expressions.

🧠 Implement Bayesian network inference in Python with exact and approximate algorithms for accurate probability estimation and performance analysis.

Operational AI platform integrating 🛳️ SmartPort maritime risk, ✈️ NASA RUL predictive maintenance, and 📦 retail Stockout risk prediction with FastAPI, Streamlit, Supabase, Railway and Telegram bot automation.

🎶 Transform audio tracks with StemLab, a local app for seamless stem separation using advanced AI, ensuring privacy and unlimited usage without subscriptions.

Professional project by Gabriel Demetrios Lafis

DSA-for-ML is a complete repository designed to teach Data Structures and Algorithms from scratch, with a focus on how these concepts are applied in Machine Learning. It includes detailed explanations, step-by-step code examples, complexity analysis, and practical ML applications, making it ideal for beginners and aspiring AI/ML engineers.