This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)

Vision agent

computer vision and sports

A unified library for object tracking featuring clean room re-implementations of leading multi-object tracking algorithms

We write your reusable computer vision tools. 💜

The open source developer platform to build AI agents and models with confidence. Enhance your AI applications with end-to-end tracking, observability, and evaluations, all in one integrated platform.

Cross-platform, customizable ML solutions for live and streaming media.

[CVPR2023] The official repo for OC-SORT: Observation-Centric SORT on video Multi-Object Tracking. OC-SORT is simple, online and robust to occlusion/non-linear motion.

[TMM 2023] StrongSORT: Make DeepSORT Great Again

BoxMOT: Pluggable SOTA multi-object tracking modules modules for segmentation, object detection and pose estimation models

Robust and Straight-Forward solution for reading difficult and tricky QR codes within images in Python. Powered by YOLOv8

Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.

Code for Machine Learning for Algorithmic Trading, 2nd edition.

This project implements a stock trading simulation environment and trains reinforcement learning agents to make buy/sell/hold decisions.

RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO and designed for fine-tuning.

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

Inference Microsoft Florence2 VLM

Multiple-Instance Support Vector Machines

Robust QR Detector based on YOLOv8

Official code implementation of General OCR Theory: Towards OCR-2.0 via a Unified End-to-end Model

predicting soccer players current market value

Predicting the remaining useful life (RUL) and state of health (SOH) of batteries using LSTMs

This is the Rust course used by the Android team at Google. It provides you the material to quickly teach Rust.

Advanced Python Mastery (course by @dabeaz)

A C++ Background Subtraction Library with wrappers for Python, MATLAB, Java and GUI on QT

A Python Package For System Identification Using NARMAX Models

Machine Learning and Computer Vision Engineer - Technical Interview Questions

A procedural Blender pipeline for photorealistic training image generation

MakeUC hackathon organized by IEEE @ UC - November 4, 2023

Comprehensive Python Cheatsheet