Andreas L's repositories
algorithmic-trading-with-python
Source code for Algorithmic Trading with Python (2020) by Chris Conlan
amazon-bedrock-workshop
This is a workshop designed for Amazon Bedrock a foundational model service.
amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
awesome-deep-trading
List of awesome resources for machine learning-based algorithmic trading
aws-data-solutions-framework
An open-source framework that simplifies implementation of data solutions.
aws-deepracer-workshops
DeepRacer workshop content
aws-lambda-powertools-python
A suite of utilities for AWS Lambda Functions that makes tracing with AWS X-Ray, structured logging and creating custom metrics asynchronously easier
FinanceOps
Research in investment finance with Python Notebooks
larssonandreas
Profile repo
naming-cheatsheet
Comprehensive language-agnostic guidelines on variables naming. Home of the A/HC/LC pattern.
reference-architecture
The Reference Architecture for Agility is a technology-neutral logical architecture based on a disaggregated cloud-based model.
serverless-pdf-chat
LLM-powered document chat using Amazon Bedrock and AWS Serverless
stdf-pytorch
Implementation of "Spatio-Temporal Deformable Convolution for Compressed Video Quality Enhancement" (AAAI'20).
Stock_Analysis_For_Quant
Different Types of Stock Analysis in Python, R, Matlab, Excel, Power BI
Time-Series-Analysis-and-Forecasting-with-Python
Time Series Analysis and Forecasting in Python
Timeseries
Timeseries for everyone
wallstreet
Real time stock and option data.
yellowbrick
Visual analysis and diagnostic tools to facilitate machine learning model selection.