GRID-playground
chronos-forecasting
| GRID-playground | chronos-forecasting | |
|---|---|---|
| 1 | 4 | |
| 244 | 1,751 | |
| 1.6% | 25.9% | |
| 6.8 | 6.8 | |
| 7 months ago | 7 days ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
GRID-playground
chronos-forecasting
-
TimesFM (Time Series Foundation Model) for time-series forecasting
On a related note, Amazon also had a model for time series forecasting called Chronos.
https://github.com/amazon-science/chronos-forecasting
-
Financial Market Applications of LLMs
There were some developments using LLMs in the timeseries domain which caught my attention.
I toyed with the Chronos forecasting toolkit [1], and the results were predictably off by wild margins [2]
What really caught my eye though was the "feel" of the predicted timeseries -- this is the first time I've seen synthetic timeseries that look like the real thing. Stock charts have a certain quality to them, once you've been looking at them long enough, you can tell more often than not whether some unlabeled data is a stock price timeseries or not. It seems the chronos LLM was able to pick up on that "nature" of the price movement, and replicate it in its forecasts. Impressive!
1: https://github.com/amazon-science/chronos-forecasting
2: https://imgur.com/a/hTRQ38d
-
Chronos: Learning the Language of Time Series
https://github.com/amazon-science/chronos-forecasting
- Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting
What are some alternatives?
robo-vln - Pytorch code for ICRA'21 paper: "Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation"
gluonts - Probabilistic time series modeling in Python
AirSim-NeurIPS2019-Drone-Racing - Drone Racing @ NeurIPS 2019, built on Microsoft AirSim
meta-prompting - Official implementation of BGPT @ ICLR 2024 paper "Meta Prompting for AI Systems" (https://arxiv.org/abs/2311.11482)
Robotics-Object-Pose-Estimation - A complete end-to-end demonstration in which we collect training data in Unity and use that data to train a deep neural network to predict the pose of a cube. This model is then deployed in a simulated robotic pick-and-place task.
Ricardo - Ricardo is an open-source robot featuring computer vision AI and remote controlling features
autodistill - Images to inference with no labeling (use foundation models to train supervised models).