Beast code in Giters

InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, supports terminal use through a CLI, and serves as the foundation for multiple commercial products.

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UnityVFXMillionsOfParticles

Various effects generated with Visual Effect Graph and all include more than 1 million of particles

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Unity-Raymarching-Glass

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awesome-unity-open-source-on-github

A categorized collection of awesome Unity open source on GitHub (800+)

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Yolov7_StrongSORT_OSNet

Real-time multi-camera multi-object tracker using YOLOv7 and StrongSORT with OSNet

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yolov7

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

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yolov7-pose-estimation

YOLOv7 Pose estimation using OpenCV, PyTorch

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tfjs-models

Pretrained models for TensorFlow.js

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mediapipe

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

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DLAComputeShader

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libzmq

ZeroMQ core engine in C++, implements ZMTP/3.1

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top-view-multi-person-tracking

This repo contains links to multi-person re-identification and tracking dataset in top view multi-camera environment.

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video-sdk-samples

Samples demonstrating how to use various APIs of NVIDIA Video Codec SDK

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netdata

The open-source observability platform everyone needs!

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3D-printed-mirror-array

3D-printable hexagonal mirror array capable of reflecting sunlight into arbitrary patterns

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libva

Libva is an implementation for VA-API (Video Acceleration API)

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advanced-algorithms

100+ algorithms & data structures generically implemented in C#

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PowerToys

Windows system utilities to maximize productivity

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zguide

Learning and Using ØMQ

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DarkMark

Marking up images for use with Darknet.

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darknet

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

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TinyYOLOv2Barracuda

Tiny YOLOv2 on Unity Barracuda

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YOLOv3-tiny-custom-object-detection

As I continued exploring YOLO object detection, I found that for starters to train their own custom object detection project, it is ideal to use a YOLOv3-tiny architecture since the network is relative slow and suitable for small/middle size datasets

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FairMOT

[IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking

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