Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Harness LLMs with Multi-Agent Programming

Django friendly finite state machine support

☠️ Ground-truth dataset for vulnerability prediction (known research datasets and data sources included such as NVD, CVE Details and OSV); tools to automatically update the data are provided.

ROS-Industrial Universal Robots support (https://wiki.ros.org/universal_robot)

PyTorch bottom-up attention with Detectron2

Pick and place task with the UR5 that uses an OpenCV service to extract start and goal position from 3D camera data

This repository offers a goldmine of materials for students of computer vision, natural language processing, and machine learning operations.

⏰ AI conference deadline countdowns

Experiments on Model-Agnostic Meta-Learning on Few-Shot Image Classification and Meta-RL (Meta-World)

Basic utilities for Regression and Classification

Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond

PHYRE is a benchmark for physical reasoning.

Pymunk is a easy-to-use pythonic 2d physics library that can be used whenever you need 2d rigid body physics from Python

PyTorch deep learning models for document classification

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

Extensible starter code for the Kaggle competition:

A Python module to scrape several search engines (like Google, Yandex, Bing, Duckduckgo, Baidu and others) by using proxies (socks4/5, http proxy) and with many different IP's, including asynchrono…

Mirror of Apache Nutch

Mirror of Apache Samoa (Incubating)