Popular GitHub Repositories for Grid World

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

Open source AI coding agent. Designed for large projects and real world tasks.

A toolkit for making real world machine learning and data analysis applications in C++

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

This repository delivers end-to-end, code-first tutorials covering every layer of production-grade GenAI agents, guiding you from spark to scale with proven patterns and reusable blueprints for real-world launches.

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

? Power Your World with AI - Explore, Extend, Empower.

An open and fair framework for everyone to build AI agents equipped with powerful skills. Launch your agent, improve the world, your wallet, or both!

Codes and datasets for NeurIPS21 paper “Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach”

SwinIR: Image Restoration Using Swin Transformer (official repository)

A C library for parsing/normalizing street addresses around the world. Powered by statistical NLP and open geo data.

A guideline for building practical production-level deep learning systems to be deployed in real world applications.

DeepSeek-VL: Towards Real-World Vision-Language Understanding

SWE-bench [Multimodal]: Can Language Models Resolve Real-world Github Issues?

An open source AI wearable device that captures what you say and hear in the real world and then transcribes and stores it on your own server. You can then chat with Adeus using the app, and it will have all the right context about what you want to talk about - a truly personalized, personal AI.

ModelScope-Agent: An agent framework connecting models in ModelScope with the world

[IJCV2024] Exploiting Diffusion Prior for Real-World Image Super-Resolution

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.