SensatUrban

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.

Label Studio is a multi-type data labeling and annotation tool with standardized output format

[CVPR2023] Blur Interpolation Transformer for Real-World Motion from Blur

Machine learning, in numpy

pix2tex: Using a ViT to convert images of equations into LaTeX code.

Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

A MNIST-like fashion product database. Benchmark :point_down:

A powerful tool for creating fine-tuning datasets for LLM

dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.