Applied Machine Learning Explainability Techniques, published by Packt

Rust Bootcamp week 1: Set up you Rust development environment

Concord - workflow orchestration and continuous deployment management

The LLM Evaluation Framework

A curated list of Large Language Model resources, covering model training, serving, fine-tuning, and building LLM applications.

Master programming by recreating your favorite technologies from scratch.

Collection of awesome LLM apps with RAG using OpenAI, Anthropic, Gemini and opensource models.

Learn how to design, develop, deploy and iterate on production-grade ML applications.

The fastai book, published as Jupyter Notebooks

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Import public NYC taxi and for-hire vehicle (Uber, Lyft) trip data into a PostgreSQL or ClickHouse database

The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

Official inference framework for 1-bit LLMs

🟣 PyTorch interview questions and answers to help you prepare for your next machine learning and data science interview in 2024.

Build and deploy a REST API for taxi trip data 🚕

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…

This project provides a Gradio-based web application that allows users to interact with an SQLite database using natural language queries. It leverages the LangChain library and OpenAI's language m…

3D Visualization of an GPT-style LLM

This repository contains the code and resources for deploying a Retrieval-Augmented Generation (RaG) application using Qdrant, Langchain, and OpenAI technologies. The project demonstrates how to in…

Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq]

🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴

This repository is the source code for examples and illustrations discussed in the book - A Simple Introduction to Retrieval Augmented Generation

🦜🔗 Build context-aware reasoning applications

groq-api-cookbook

Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.

These common credit score data sets are collected to empirical evaluations, and I will update dynamically.

Text-to-sql with vanna-ai and streamlit

LLMFlows - Simple, Explicit and Transparent LLM Apps