end-to-end data engineering project to get insights from PyPi using python, duckdb, MotherDuck & Evidence

apache-spark-with-databricks-for-data-engineering

A list of useful resources to learn Data Engineering from scratch

MLOps - Deploy models at scale, Generative AI - Build applications with LLMs, NLP - Understand Transformers & Text Generation Models, Computer Vision - Build GANs projects like Deepfakes, ML System…

Refine high-quality datasets and visual AI models

leaked prompts of GPTs

Elyra extends JupyterLab with an AI centric approach.

A data engineering project with Kafka, Spark Streaming, dbt, Docker, Airflow, Terraform, GCP and much more!

A hyperparameter optimization framework

Crawl a site to generate knowledge files to create your own custom GPT from a URL

Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)

21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

Letta (formerly MemGPT) is a framework for creating LLM services with memory.

Data Engineering Practice Problems

Train transformer language models with reinforcement learning.

Robust Speech Recognition via Large-Scale Weak Supervision

A series of large language models trained from scratch by developers @01-ai

Learn System Design concepts and prepare for interviews using free resources.

Practical course about Large Language Models.

🦖 𝗟𝗲𝗮𝗿𝗻 about 𝗟𝗟𝗠𝘀, 𝗟𝗟𝗠𝗢𝗽𝘀, and 𝘃𝗲𝗰𝘁𝗼𝗿 𝗗𝗕𝘀 for free by designing, training, and deploying a real-time financial advisor LLM system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 𝘷𝘪𝘥𝘦𝘰 & 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴

Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

A collective list of free APIs

💯 Curated coding interview preparation materials for busy software engineers

Pipeline that extracts data from Crinacle's Headphone and InEarMonitor databases and finalizes data for a Metabase Dashboard.

Official Repository for "Eureka: Human-Level Reward Design via Coding Large Language Models" (ICLR 2024)

A PyTorch-based toolkit for natural language processing

Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.

This repository contains everything you need to become proficient in ML/AI Research and Research Papers

📌 Papers, guides, and mentor interviews on applying machine learning for ApplyingML.com—the ghost knowledge of machine learning.