Statistical method broadens forecasts by modeling uncertainty beyond average outcomes

When it comes to statistics, we usually expect to be informed about what happens "on average." But sometimes the key ...

There’s good and bad news if you want to copy JPMorgan’s new AI agent that outperforms the 60/40 portfolio

JPMorgan says it’s designed an artificial-intelligent agent to evaluate markets and economic data and use it to outperform ...
GitHub

TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.

1.0 and 2.0: relevant code archived in the sub directory v1. You can pip install timesfm==1.3.0 to install an older version of this package to load them.
GitHub

iKUN: Speak to Trackers without Retraining

Referring multi-object tracking (RMOT) aims to track multiple objects based on input textual descriptions. Previous works realize it by simply integrating an extra textual module into the multi-object ...