Popular GitHub Repositories for Common Spatial Pattern

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

? Geometric Computer Vision Library for Spatial AI

The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

Probabilistic language based on pattern matching and constraint propagation, 153 examples

A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.

common data analysis and machine learning tasks using python

OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

Intelligent (edge and LLM) proxy for agents. Move faster by letting Arch handle the pesky heavy lifting in building agentic apps. Fast ?? task clarification, agent routing, seamless integration of prompts with tools for common tasks, and unified access and observability of LLMs.

ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.

Simple and comprehensive tutorials in TensorFlow

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

An AI-powered data science team of agents to help you perform common data science tasks 10X faster.

A collection of production-ready Generative AI Agent templates built for Google Cloud. It accelerates development by providing a holistic, production-ready solution, addressing common challenges (Deployment & Operations, Evaluation, Customization, Observability) in building and deploying GenAI agents.

Resources on the topic of digital morphogenesis (creating form with code). Includes links to major articles, code repos, creative projects, books, software, and more.

A Unity library for common movement AI

An open-source toolbox for action understanding based on PyTorch