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Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Jupyter notebooks helping open source researchers, journalists, and fact-checkers use command line tools and code projects for digital investigations.
Real-time Feature Pipelines in Python ⚡
🤖 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
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Code to easily try 30 (and growing) different image matching methods
Tutorials for the Hopsworks Platform
Automating enterprise workflows with multimodal agents
Call all LLM APIs using the OpenAI format. Use Bedrock, Azure, OpenAI, Cohere, Anthropic, Ollama, Sagemaker, HuggingFace, Replicate, Groq (100+ LLMs)
Implementation of XFeat (CVPR 2024). Do you need robust and fast local feature extraction? You are in the right place!
A guide to modern front-end web development / engineering.
Question and Answer based on Anything.
Examples and guides for using the Gemini API.
a 1h 45 min version of the SQLAlchemy tutorial for SQLA 2.0
An repository containing all the LLM notebooks with tutorial and projects
Source code and data for The Economist's Ukraine war-fire model
A collection of learning resources for curious software engineers
Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.
A scientific instrument for investigating latent spaces
OCR, layout analysis, reading order, line detection in 90+ languages
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
This repository covers Implemented projects