network-traffic-time-series-forecasting

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.

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

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

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

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.

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

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

A powerful tool for creating fine-tuning datasets for LLM

Statsmodels: statistical modeling and econometrics in Python