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Model Context Protocol Servers
Scalable and user friendly neural 🧠 forecasting algorithms.
A privacy-first, self-hosted, fully open source personal knowledge management software, written in typescript and golang.
10 Lessons to Get Started Building AI Agents
This project is an implementation of credit card fraud detection using Hidden Markov Model (HMM)
R&D playground to play with agents and OpenBB
LLM-powered multiagent persona simulation for imagination enhancement and business insights.
Simulation of customers behaviour from transition probabilities
Open source textbook for Program Evaluation for the Public Sector
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"
The source repository of all translated content for MDN Web Docs
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
PyTorch implementation of NextItNet from "A Simple Convolutional Generative Network for Next Item Recommendation".
Fraudfinder: A comprehensive lab series on how to build a real-time fraud detection system on Google Cloud
Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting
Source code for Algorithmic Trading with Python (2020) by Chris Conlan
Causal Inference and Discovery in Python by Packt Publishing
A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.
Pytorch domain library for recommendation systems