Explore live open-source projects and AI models.

Important Cheat Sheets for machine learning and deep learning researchers and data scientists (Python and R)

A unified Model Context Protocol (MCP) ecosystem for financial AI applications, providing deep research capabilities, trading integrations, and specialized AI model training for financial analysis.

Give any AI Agent professional-grade deep research capabilities. An MCP (Model Context Protocol) server that performs real-time deep research across 5 data sources, evaluates source credibility with the CRAAP framework, cross-verifies findings, and generates professional reports

This is the implementation of "Acharya, D., Yan, W., & Khoshelham, K. (2018) Real-time image-based parking occupancy detection using deep learning. In the proceedings of the 5th Annual Conference of Research@Locate, Adelaide, Australia, CEUR Workshop Proceedings, 2087: 33-40"

Web research automation with hierarchical citation trees. A more deterministic alternative to agent-based systems (like OpenAI Deep Research) that builds verifiable reasoning chains, works with smaller LLMs, and prioritizes transparency over black-box agents. Engineered for reliability and cost e... Read more

This is a research project about how to do medical image classification on small dataset by deep learning The pdf is the report. The VGG16 is the code for experiments

open-deepsearch

This repository contains details and key points of research papers related to NLP and Deep Learning

Persistent, resumable specs for AI coding agents. Deep research, iterative interviews, phased implementation, resume context. Claude Code plugin + universal skill (Codex, Cursor, Windsurf, Cline, Gemini CLI, Devin, Antigravity).

Free Perplexity AI MCP server with multi-account pooling, React admin dashboard, zero-cost health monitoring, and Telegram alerts. No API keys needed.