Qlib
github.comOrganize machine-learning experiments for quantitative investment research
Organize machine-learning experiments for quantitative investment research
Natural-media painting with pigment mixing and watercolour diffusion
A launcher for AI apps and agents that run on your own machine.
Token swaps with several pool designs and automatic liquidity adjustment
Design packaging with adjustable dimensions, artwork and simulated print finishes.
Procedural terrain and planet creation with separate mesh and map outputs
An open-source suite for modelling, animation and rendering
A Java teaching IDE where learners program actors and see their code run inside interactive worlds.
Apple's Mac IDE for building, testing, debugging, and distributing apps for Apple platforms.
People and vehicle animation for architectural crowds and traffic scenes
Collect market history and test several strategies in one portfolio
Run configurable pricing, risk and valuation-adjustment studies
Risograph-inspired drawing with ink overlaps and vector stencils
Coding-oriented curricula across modern machine learning
Explore ink, water and drying behaviour in a focused brush canvas
Scan markets and test explicit rules in desktop software
Inject controlled faults into Kubernetes workloads to test recovery and resilience.
Turn stock-ranking ideas into screens and portfolio simulations
AI buyer clones for testing marketing and sales alignment
Exam preparation for real estate, appraisal and home inspection with vocabulary tools and simulated tests.
Apply revenue rules to obligations, contract changes and ledger entries
A browser simulation for exploring Git repositories
The AI reliability platform for building and scaling production GenAI.