Open-source Python framework for training and backtesting financial trading agents with deep reinforcement learning.
A collection of examples, tutorials, and apps for building with Liquid AI's open-weight LFM models and the LEAP SDK on laptops, mobile, and edge devices.
Open-source large language models and tooling for financial tasks such as sentiment analysis, forecasting, and robo-advisory.
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.
TimeGPT-2.1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code π.
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
Foundation Models for Time Series
This is a workshop designed for Amazon Bedrock a foundational model service.
Spatial biology processing suite
Jupyter Notebook
This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models