dimboump

sports

computer vision and sports

LLM101n

LLM101n: Let's build a Storyteller

ragas

Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines

langchain

🦜🔗 Build context-aware reasoning applications

autogen

A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap

diffusiondb

A large-scale text-to-image prompt gallery dataset based on Stable Diffusion

Azure-Cognitive-Search-Azure-OpenAI-Accelerator

Virtual Assistant - GPT Smart Search Engine - Bot Framework + Azure OpenAI + Azure AI Search + Azure SQL + Bing API + Azure Document Intelligence + LangChain + CosmosDB

web-crawl-q-and-a-example

Learn how to crawl your website and build a Q/A bot with the OpenAI API

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

LASER

Language-Agnostic SEntence Representations

cookbook

Examples and guides for using the Gemini API.

transformer-debugger

unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

Ixelles-Sensor-Data

Sensor data for local meteorological and concentrations of pollutant agents data repository for the Ixelles domain (Area between ULB-Solbosch and VUB-Etterbeek Campuses).

Ixelles-Traffic-Data

api-guidelines

Microsoft REST API Guidelines

guidance

A guidance language for controlling large language models.

screenshot-to-code

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

nextjs-billing

Next.js billing app with Lemon Squeezy

openai-python

The official Python library for the OpenAI API

LaTeX-OCR

pix2tex: Using a ViT to convert images of equations into LaTeX code.

ui

Beautifully designed components that you can copy and paste into your apps. Accessible. Customizable. Open Source.

vscode-comment-tagged-templates

Syntax highlighting for JS and TS tagged template strings using comments to specify language

performance

:muscle: Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)

deepchecks

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

wikivec2text

Simple embedding -> text model trained on a small subset of Wikipedia sentences.

word2vec-api

Simple web service providing a word embedding model

sklearn-pandas

Pandas integration with sklearn

lazypredict

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

Prompt-Engineering-Guide

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering