ml-fintech-case-studies

A powerful cross-platform UI toolkit for building native-quality iOS, Android, and Progressive Web Apps with HTML, CSS, and JavaScript.

Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.

? Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.

FinRL: Financial Reinforcement Learning. ?

Open Source Metering and Usage Based Billing API ?? Consumption tracking, Subscription management, Pricing iterations, Payment orchestration & Revenue analytics

fast-stable-diffusion + DreamBooth

One UI is all done with chatgpt web, midjourney, gpts,suno,luma,runway,viggle,flux,ideogram,realtime,pika,udio; Simultaneous support Web / PWA / Linux / Win / MacOS platform

AI design agent, local alternative for Lovart. AI agent with ability to design, edit and generate images, posters, storyboards, etc.

Relax! Flux is the ML library that doesn't make you tensor

Stable Diffusion and Flux in pure C/C++