Search Results for "darknet"
Sort By:
Showing 17 open source projects for "darknet"
View related business solutions-
Veeam Data Platform v13.1 - Get Your Free TrialTry Veeam Data Platform today. Experience the unified platform that's secure by design, portable by default, and proven to recover clean, fast, and anywhere.
-
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
-
1
Freenet Core
Declare your digital independence
Freenet Core is the backbone of the Freenet Project, a peer-to-peer platform for censorship-resistant, anonymous publishing and communication. It is designed to provide strong privacy by routing requests through multiple nodes using a "darknet" architecture where users connect only to trusted peers. Data is stored in a distributed manner and automatically replicated based on demand. Freenet is optimized for users who want to securely share files, host anonymous websites (known as "freesites"), and communicate without fear of surveillance or takedown. Freenet Core, written in Rust, is the next-generation implementation focused on performance and security. -
2
Netron
Visualizer for neural network, deep learning, machine learning models
Netron is a viewer for neural network, deep learning and machine learning models. Netron supports ONNX, Keras, TensorFlow Lite, Caffe, Darknet, Core ML, MNN, MXNet, ncnn, PaddlePaddle, Caffe2, Barracuda, Tengine, TNN, RKNN, MindSpore Lite, and UFF. Netron has experimental support for TensorFlow, PyTorch, TorchScript, OpenVINO, Torch, Arm NN, BigDL, Chainer, CNTK, Deeplearning4j, MediaPipe, ML.NET, scikit-learn, TensorFlow.js. There is an extense variety of sample model files to download or open using the browser version. ... -
3
tvm
Open deep learning compiler stack for cpu, gpu, etc.
...The vision of the Apache TVM Project is to host a diverse community of experts and practitioners in machine learning, compilers, and systems architecture to build an accessible, extensible, and automated open-source framework that optimizes current and emerging machine learning models for any hardware platform. Compilation of deep learning models in Keras, MXNet, PyTorch, Tensorflow, CoreML, DarkNet and more. Start using TVM with Python today, build out production stacks using C++, Rust, or Java the next day. -
4
Almighty Linux
OSINT Focused Kali based Linux distro
Almighty Linux is a Linux distribution based on Kali Linux. It is specifically designed with a focus on Intelligence and information gathering workflows. The distribution comes with a comprehensive and extensive collection of OSINT tools. In addition to widely known utilities, it includes custom-built OSINT tools, OPSEC solutions, frameworks, and analysis tools developed specifically for Almighty Linux. To support operational security (OPSEC) during intelligence gathering, the system... -
$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
-
5
MOFO Linux
A live Linux environment for computing without censorship barriers.
MOFO Linux is a USB pluggable live Linux environment you boot on PC hardware. It gives you the power to unblock any media, at your discretion, clearing the way for you to read, write, watch, listen to, debate, or collaborate anywhere - beyond the reach of Big Brother. In other words, you jump the barrier, find media, and interact with people. MOFO Linux is designed for easy usage on home PCs, laptop computers, or workstations, whether installed in internet cafes anywhere the world or on... -
6
ufonet
UFONet - Denial of Service Toolkit
UFONet - Is a set of hacktivist tools that allow launching coordinated DDoS and DoS attacks and combine both in a single offensive. It also works as an encrypted DarkNET to publish and receive content by creating a global client/server network based on a direct-connect P2P architecture. + FAQ: https://ufonet.03c8.net/FAQ.html -------------------------------------------- -> UFONet-v2.0 [R3D] "R3DST4R!" (.zip) -> md5 = [98fcd2bd3bba3f1d52738113522d3bc9] -> UFONet-v2.0 [R3D] "R3DST4R!" ... -
7
MMClassification
OpenMMLab Image Classification Toolbox and Benchmark
...Supports DenseNet, VAN and PoolFormer, and provide pre-trained models. Supports training on IPU. Supports a series of CSP networks, such as CSP-ResNet, CSP-ResNeXt and CSP-DarkNet. MMClassification is an open source project that is contributed by researchers and engineers from various colleges and companies. We appreciate all the contributors who implement their methods or add new features, as well as users who give valuable feedback. We wish that the toolbox and benchmark could serve the growing research community by providing a flexible toolkit to re-implement existing methods and develop their own new classifiers. ... -
8
Darknet
Convolutional Neural Networks
Darknet is an open source neural network framework written in C and CUDA, developed by Joseph Redmon. It is best known as the original implementation of the YOLO (You Only Look Once) real-time object detection system. Darknet is lightweight, fast, and easy to compile, making it suitable for research and production use. The repository provides pre-trained models, configuration files, and tools for training custom object detection models. -
9
Darknet YOLO
Real-Time Object Detection for Windows and Linux
This is YOLO-v3 and v2 for Windows and Linux. YOLO (You only look once) is a state-of-the-art, real-time object detection system of Darknet, an open source neural network framework in C. YOLO is extremely fast and accurate. It uses a single neural network to divide a full image into regions, and then predicts bounding boxes and probabilities for each region. This project is a fork of the original Darknet project. -
Cut Data Warehouse Costs by 54%BigQuery delivers 54% lower TCO with exabyte scale and flexible pricing. Free migration tools handle the SQL translation automatically.
-
10
YOLOv4
PyTorch implementation of YOLOv4
PyTorch_YOLOv4 is a PyTorch implementation of YOLOv4 based on the earlier ultralytics YOLOv3 codebase. It provides a practical way to train, test, and run YOLOv4-style object detection models without relying only on the original Darknet implementation. The repository supports common detection workflows such as dataset preparation, model training, evaluation, inference, and weight conversion. It is useful for developers who prefer the PyTorch ecosystem for experimentation, debugging, and integration with other machine learning tooling. The project also connects to the broader YOLOv4 family, including CSP-based architecture ideas and real-time detection improvements. ... -
11
YOLO ROS
YOLO ROS: Real-Time Object Detection for ROS
...The pre-trained model of the convolutional neural network is able to detect pre-trained classes including the data set from VOC and COCO, or you can also create a network with your own detection objects. The YOLO packages have been tested under ROS Noetic and Ubuntu 20.04. We also provide branches that work under ROS Melodic, ROS Foxy and ROS2. Darknet on the CPU is fast (approximately 1.5 seconds on an Intel Core i7-6700HQ CPU @ 2.60GHz × 8) but it's like 500 times faster on GPU! You'll have to have an Nvidia GPU and you'll have to install CUDA. The CMakeLists.txt file automatically detects if you have CUDA installed or not. CUDA is a parallel computing platform and application programming interface (API) model created by Nvidia. -
12
Darksite Dev Kit
Dark Website Dev Kit for everyone
Develop Websites and Deploy them on darknet! Note: Do not use firefox together! -
13
Yolo_mark
GUI for marking bounded boxes of objects in images
...Class identifiers can be selected from the keyboard, while shortcuts speed up navigation between images and repeated annotation tasks. The project generates image-coordinate files and a training image list in the format expected by Darknet. It can also extract every specified frame interval from a video before manual labeling begins. OpenCV support, sample configuration files, object tracking, coordinate display, and training instructions make it a compact workflow for legacy YOLO dataset creation. -
14
TacoNET
Cross platform darknet written in python
TacoNET is an open-source, Friend 2 Friend, cross platform, encrypted Darknet written in python. Currently in Alpha, it's functional, but nowhere near what it will be. There will be gui weirdness, useless error messages, spelling/grammer mistakes, and of course some features may not work 100% in all cases. This will, of course, improve over time. Project dev has stopped here, all further dev @ https://github.com/withorwithoutgod/taconet -
15
Game Libraries Unified to Create an Operating System for Entertainment for Super 3D Game Platform (S3GP)
-
16
A project to employ technologies already applied to the WWW, such as XHTML/CSS, to a distributed VPN grid, allowing for searches of files on the network, and semi-anonymous websites, which are served by all peers with the cached content. Darknet P2P.
-
17
Piper is a peer-to-peer 'darknet' for the machines that you control. It establishes direct communication links between your machines over the internet, and through plugins provides feature such as remote backup / reboot / etc.
- Previous
- You're on page 1
- Next
