Search awesome repositories

Inspect: A framework for large language model evaluations

:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling

A free Python-distribution for Windows platform, including prebuilt packages for Scientific Python.

A lightweight framework for building LLM-based agents

An open source library and framework for deep learning on satellite and aerial imagery.

Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization

Python MUD/MUX/MUSH/MU* development system

🌸 Best framework to build web agents, and deploy serverless web automation functions on reliable browser infra.

Code for the paper "ViperGPT: Visual Inference via Python Execution for Reasoning"

Developer Asset Hub for NVIDIA Nemotron — A one-stop resource for training recipes, usage cookbooks, datasets, and full end-to-end reference examples to build with Nemotron models

KoAlpaca: 한국어 명령어를 이해하는 오픈소스 언어모델 (KoAlpaca: An open-source language model to understand Korean instructions)

ARCH models in Python

Semantica • Build AI systems that can explain, trace, and justify every decision. Knowledge graphs, context graphs, reasoning engines, provenance, and governance for production AI.

Build production-ready LLM applications and advanced agents using Python, LangChain, and LangGraph. This is the companion repository for the book on generative AI with LangChain.

Framework for quantitative trading. Complete framework for development, backtesting, and deploying automated trading algorithms and trading bots.

A system for assigning and grading notebooks

The repository for all Azure OpenAI Samples complementing the OpenAI cookbook.

Transform geospatial relations into graphs for Graph Neural Networks and network analysis

Transpile trained scikit-learn estimators to C, Java, JavaScript and others.

code for deep learning courses

XAI - An eXplainability toolbox for machine learning

Earth observation processing framework for machine learning in Python

A Solution Accelerator for the RAG pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences. This includes most common requirements and best practices.

Notebooks & Example Apps for Search & AI Applications with Elasticsearch

Weave is a toolkit for developing AI-powered applications, built by Weights & Biases.

OpenTelemetry Instrumentation for AI Observability

Modern Python library for HTTP security headers with safe defaults, configurable presets, and first-class ASGI/WSGI middleware (FastAPI, Django, Flask, Shiny, and more).

Collection of algorithms for online portfolio selection

This sample has the full End2End process of creating RAG application with Prompty and Azure AI Foundry. It includes GPT-4 LLM application code, evaluations, deployment automation with AZD CLI, GitHub actions for evaluation and deployment and intent mapping for multiple LLM task mapping.

Machine Learning toolbox for Humans