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A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
Kickstart your LLMOps initiative with a flexible, robust, and productive Python package.
🔍 LangKit: An open-source toolkit for monitoring Large Language Models (LLMs). 📚 Extracts signals from prompts & responses, ensuring safety & security. 🛡️ Features include text quality, relevance m…
A toolkit for detecting and protecting against vulnerabilities in Large Language Models (LLMs).
An awesome & curated list of best LLMOps tools for developers
This repo provides a customizable stack for starting new ML projects on Databricks that follow production best-practices out of the box.
⭕ Share quick reference cheat sheet for developers.
Lists of company wise questions available on leetcode premium. Every csv file in the companies directory corresponds to a list of questions on leetcode for a specific company based on the leetcode …
Course Files for AWS Certified Solutions Architect - Professional - Adrian Cantrill
Bootstrap Kubernetes the hard way. No scripts.
Roadmap to becoming an Artificial Intelligence Expert in 2022
Jupyter notebooks for teaching/learning Python 3
Learn how to develop, deploy and iterate on production-grade ML applications.
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Google Cloud Platform Certification resources.
Developing Options Trading Strategies using Technical Indicators and Quantitative Methods
A complete set of volatility estimators based on Euan Sinclair's Volatility Trading
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Tra…
PORORO: Platform Of neuRal mOdels for natuRal language prOcessing
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
Built and trained a convolutional network for end-to-end driving in a simulator using Tensorflow and Keras
Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library