Source Code for 'Hands-on Time Series Analysis with Python' by B V Vishwas and Ashish Patel

Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

Quantitative analysis, strategies and backtests

Framework for developing, backtesting, and deploying automated trading algorithms and trading bots.

A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python

An agentic AI workflow designed to recommmend research conferences for input research papers or discard them as "not publishable"

This comprehensive analysis presents an advanced ensemble trading methodology developed for the Nomura Quant Challenge 2025, demonstrating how nested reinforcement learning and Weight Random Select…

An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.

UNSUPERVISED ANOMALY DETECTION FOR INDUSTRIAL VISUAL INSPECTION: IMPLEMENTATION AND EVALUATION

Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Tra…

Memory control plane for AI Agents in 6 lines of code

TradingAgents: Multi-Agents LLM Financial Trading Framework

UQLM: Uncertainty Quantification for Language Models, is a Python package for UQ-based LLM hallucination detection

Amazon Online Assessment Questions

The easiest way to get started with LlamaIndex

Open-source infrastructure for Computer-Use Agents. Sandboxes, SDKs, and benchmarks to train and evaluate AI agents that can control full desktops (macOS, Linux, Windows).

𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝘀 𝗟𝗮𝗯 | 𝗖𝗦𝟯𝟵𝟬𝟬𝟲 | 🌐 𝗧𝗖𝗣/𝗨𝗗𝗣 & 𝗥𝗮𝘄 𝗦𝗼𝗰𝗸𝗲𝘁𝘀

SAMAR is an AI-driven tool designed to automate research and analysis processes for mergers and acquisitions (M&A), facilitating the generation of comprehensive reports. By leveraging advanced arti…

Build, run, and manage agent platforms.

Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs,…

Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.

This repository is aimed to contain all the questions required for SDE interview preparation from data structures and algorithms.