Topics / #darknet
Darknet projects on GitHub
Darknet YOLO neural network framework for object detection.
As of , the most-starred Darknet projects on GitHub are darknet (26.5K stars), ncnn (24K stars) and spiderfoot (23.6K stars). GitHub.Locker tracks 5 Darknet repositories with 88.6K stars combined. The fastest-growing on October 17 was spiderfoot, with +23 stars in a day.
Hot right now
Most stars gained in a day · Oct 17
+23spiderfoot
smicallef/spiderfoot · ★ 23.6KOpen source OSINT automation — it collects intelligence on a target for threat intel and attack surface mapping, whether you are doing red team recon or checking what your organisation has exposed.
ncnn
Tencent/ncnn · ★ 24Kncnn is a high-performance neural network inference framework built by Tencent and optimized for mobile, embedded, and desktop deployment. It is used in Tencent apps like QQ, Qzone, and WeChat to run deep learning models on-device.
The all-time top
5 projects · by stars
- 26.5K
#1 · pjreddie/darknetdarknet
Darknet is an open source neural network framework written in C and CUDA, used for training and running deep learning models for computer vision tasks like object detection (YOLO).
- 24K
#2 · Tencent/ncnn
ncnn
ncnn is a high-performance neural network inference framework built by Tencent and optimized for mobile, embedded, and desktop deployment. It is used in Tencent apps like QQ, Qzone, and WeChat to run deep learning models on-device.
- 23.6K
#3 · smicallef/spiderfootspiderfoot
Open source OSINT automation — it collects intelligence on a target for threat intel and attack surface mapping, whether you are doing red team recon or checking what your organisation has exposed.
- 4

yolov7
14.2KWongKinYiu/yolov7 · Jupyter NotebookThis is the official PyTorch implementation of YOLOv7, a real-time object detection model that achieved new state-of-the-art speed/accuracy results using a technique the authors call 'trainable bag-of-freebies'.
- 5

LEAKSFORUMS
364FSECDEV/LEAKSFORUMSLEAKSFORUMS is a collection of leaked data from hacker forums — a README table listing breached communities like Breached Forums, Black Market Reloaded, and Russian boards, each with a download link.
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