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Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen2.5, Qwen3, Llama, and more!
SimpleMem: Efficient Lifelong Memory for LLM Agents
📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG
Open3D: A Modern Library for 3D Data Processing
Resources for those studying the fast-moving pace of AI policy
A MapLibre plugin for visualizing LiDAR Point Cloud
🔥Remote Sensing SpatioTemporal Vision-Language Models: A Comprehensive Survey
mcp-use is the easiest way to interact with mcp servers with custom agents
Flexible and powerful framework for managing multiple AI agents and handling complex conversations
A QGIS plugin for visualizing Maxar Open Data
Stop re-explaining your project to AI every session. Automatic context memory for Claude, VS Code, Cursor, and 13+ AI tools.
A QGIS plugin for searching and visualizing NASA Earthdata
"AI-Trader: Can AI Beat the Market?" Live Trading Bench: https://ai4trade.ai Tech Report Link: https://arxiv.org/abs/2512.10971
A research prototype of a human-centered web agent
"RAG-Anything: All-in-One RAG Framework"
repor for MGraph-AI__Service__Html__Graph
The official repository for Nexels: Neurally-Textured Surfels for Real-Time Novel View Synthesis with Sparse Geometries
Data models related to the Smart Cities Domain. Includes data models for Buildings, Parking, Urban Mobility & etc.
Save thousands of lines of code by building universal, domain-agnostic Multi-Agent Systems (MAS) through high-level semantic orchestration. This repository provides a production-ready blueprint for…
A modern synthesis of design-based causal inference and panel data methods for marketing analytics, featuring Synthetic Control, DiD, Matrix Completion, and DML.
A Python Package for Visualizing and Analyzing Hyperspectral Data in Coastal Environments
Data transformation framework for AI. Ultra performant, with incremental processing. 🌟 Star if you like it!
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
🎨 NeMo Data Designer: A general library for generating high-quality synthetic data from scratch or based on seed data.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
