Search Results for "darknet"

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.

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. ...

...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.

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-v1.8 [DPh] "DarK-PhAnT0m!" (.zip) -> md5 = [ c8ab016f6370c8391e2e6f9a7cbe990a ] -> UFONet-v1.8 [DPh] "DarK-PhAnT0m!" ...

...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. ...

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.

...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.

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

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.