A collection of machine learning use cases in fintech
A powerful cross-platform UI toolkit for building native-quality iOS, Android, and Progressive Web Apps with HTML, CSS, and JavaScript.
? Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.
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.
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
Relax! Flux is the ML library that doesn't make you tensor
Stable Diffusion and Flux in pure C/C++
modular quant framework.
