Search Results for "network" - Page 17
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Showing 1687 open source projects for "network"
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Automate contact and company data extractionGenerate leads at scale without building or maintaining scrapers. Use 10,000+ ready-made tools that handle authentication, pagination, and anti-bot protection. Pull data from business directories, social profiles, and public sources, then export to your CRM or database via API. Schedule recurring extractions, enrich existing datasets, and integrate with your workflows.
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Dragonfire
The open-source virtual assistant for Ubuntu based Linux distributions
Dragonfire is the open-source virtual assistant project for Ubuntu-based Linux distributions. Her main objective is to serve as a command and control interface to the helmet user. So that you will be able to give orders just by using your voice commands and your eye movements. That makes the helmet handsfree. We are planning to ship Dragonfire as a preinstalled software package on DragonOS Linux Distribution. DragonOS will be a Linux distribution specially designed for the helmet. It will... -
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v2rayL
v2ray linux GUI
V2Ray is a tool under Project V. Project V includes a series of tools to help you create your own customized network system. And V2Ray belongs to the core one. Simply put, V2Ray is a proxy software similar to Shadowsocks, but has more advantages than Shadowsocks.v2ray linux client, using pyqt5 to write GUI interface, the core is based on v2ray-core (v2ray-linux-64) vmess supports websocket, mKcp, and tcp. There may be some bugs in the current program, but they have not been tested. ... -
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Ouroboros
Automatically update running docker containers
Ouroboros will monitor (all or specified) running docker containers and update them to the (latest or tagged) available image in the remote registry. The updated container uses the same tag and parameters that were used when the container was first created such as volume/bind mounts, docker network connections, environment variables, restart policies, entrypoints, commands, etc. Push your image to your registry and simply wait your defined interval for ouroboros to find the new image and redeploy your container autonomously. Notify you via many platforms courtesy of Apprise. Serve metrics for trend monitoring (Currently: Prometheus/Influxdb) Per-command and scenario examples can be found in the wiki. -
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Vega Strike is a 3d OpenGL Action Space Sim for Win/Lin/Mac allowing players to trade, bounty hunt, or explore in a vast universe. Active development is now on https://github.com/vegastrike and on http://www.vega-strike.org Vega Strike is mod ready and network playable.
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Rezku Point of SaleRezku is an all-inclusive ordering platform and management solution for all types of restaurant and bar concepts. You can now get a fully custom branded downloadable smartphone ordering app for your restaurant exclusively from Rezku.
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TensorFlow Course
Simple and ready-to-use tutorials for TensorFlow
This repository houses a highly popular (~16k stars) set of TensorFlow tutorials and example code aimed at beginners and intermediate users. It includes Jupyter notebooks and scripts that cover neural network fundamentals, model training, deployment, and more, with support for Google Colab. -
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PyTorch Natural Language Processing
Basic Utilities for PyTorch Natural Language Processing (NLP)
...It’s built with the very latest research in mind, and was designed from day one to support rapid prototyping. PyTorch-NLP comes with pre-trained embeddings, samplers, dataset loaders, metrics, neural network modules and text encoders. It’s open-source software, released under the BSD3 license. With your batch in hand, you can use PyTorch to develop and train your model using gradient descent. For example, check out this example code for training on the Stanford Natural Language Inference (SNLI) Corpus. Now you've setup your pipeline, you may want to ensure that some functions run deterministically. ... -
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NiftyNet
An open-source convolutional neural networks platform for research
An open-source convolutional neural networks platform for medical image analysis and image-guided therapy. NiftyNet is a TensorFlow-based open-source convolutional neural networks (CNNs) platform for research in medical image analysis and image-guided therapy. NiftyNet’s modular structure is designed for sharing networks and pre-trained models. Using this modular structure you can get started with established pre-trained networks using built-in tools. Adapt existing networks to your imaging... -
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ZeroNet
Decentralized websites using Bitcoin crypto and BitTorrent network
...Page response time is not limited by your connection speed. Real-time updated, multi-user websites. Supports any modern browser on Windows, Linux or Mac platforms. You can easily hide your IP address using the Tor network. Browse the sites you're seeding even if your internet connection is down. Developed by the community for the community. We believe in open, free, and uncensored network and communication. -
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I3D models trained on Kinetics
Convolutional neural network model for video classification
Kinetics-I3D, developed by Google DeepMind, provides trained models and implementation code for the Inflated 3D ConvNet (I3D) architecture introduced in the paper “Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset” (CVPR 2017). The I3D model extends the 2D convolutional structure of Inception-v1 into 3D, allowing it to capture spatial and temporal information from videos for action recognition. This repository includes pretrained I3D models on the Kinetics dataset, with... -
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Nebula worker
The worker node manager container which manages nebula nodes
...Nebula imposes no limits on the scale of the cluster, each component in it is designed to scale out to allow millions of workers to be managed by it. Designed to connect to devices that are spread around the globe Nebula is tolerant of network connection issues and will resync the device when it reconnects. With a single API call you can deploy a new container version to managed devices around the globe in minutes. -
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CCZero (中国象棋Zero)
Implement AlphaZero/AlphaGo Zero methods on Chinese chess
ChineseChess-AlphaZero is a project that implements the AlphaZero algorithm for the game of Chinese Chess (Xiangqi). It adapts DeepMind’s AlphaZero method—combining neural networks and Monte Carlo Tree Search (MCTS)—to learn and play Chinese Chess without prior human data. The system includes self-play, training, and evaluation pipelines tailored to Xiangqi's unique game mechanics. -
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Olex2 is visualisation software for small-molecule crystallography developed at Durham University/EPSRC. It provides comprehensive tools for crystallographic model manipulation for the end user and an extensible development framework for programmers. The project has been supported by Olexsys Ltd since 2010.
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The Google Cloud Developer's Cheat Sheet
Cheat sheet for Google Cloud developers
Every product in the Google Cloud family described in <=4 words (with liberal use of hyphens and slashes) by the Google Developer Relations Team. This list only includes products that are publicly available. There are several products in pre-release/private-alpha that will not be included until they go public beta or GA. Many of these products have a free tier. There is also a free trial that will enable you try almost everything. API platforms and ecosystems, developer and management tools,... -
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captcha_break
Identification codes
This project will use Keras to build a deep convolutional neural network to identify the captcha verification code. It is recommended to use a graphics card to run the project. The following visualization codes are jupyter notebookall done in . If you want to write a python script, you can run it normally with a little modification. Of course, you can also remove these visualization codes. captcha is a library written in python to generate verification codes. -
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Synchrorep
Synchronize directories
Synchrorep is a one click directory synchronization software. All modification will be reported to one to the other and vice versa. Usefull for nomads or speedup differencials backup. -
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Rainbow
Rainbow: Combining Improvements in Deep Reinforcement Learning
Combining improvements in deep reinforcement learning. Results and pretrained models can be found in the releases. Data-efficient Rainbow can be run using several options (note that the "unbounded" memory is implemented here in practice by manually setting the memory capacity to be the same as the maximum number of timesteps). -
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ChainerCV
ChainerCV: a Library for Deep Learning in Computer Vision
...Dataset classes whose names end with BboxDataset contain annotations of where objects locate in an image and which categories they are assigned to. These datasets can be indexed to return a tuple of an image, bounding boxes and labels. ChainerCV provides several network implementations that carry out object detection. -
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GRAMD® Personal Signature
Digital Signature for PDF documents in Spanish
Eng: Digital Signature with x.509 certificates and smartcards for PDFand PAdES format documents in Spanish for Windows OS (8 and 10). Esp: Firma Digital de documents electrónicos PDF en formato PAdES con certificados digitales X.509 y tokens criptográficos en español. -
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FID score for PyTorch
Compute FID scores with PyTorch
...In difference to the official implementation, you can choose to use a different feature layer of the Inception network instead of the default pool3 layer. -
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CakeChat
CakeChat: Emotional Generative Dialog System
...Decoder can be conditioned on any categorical label, for example, emotion label or persona id. May be initialized using w2v model trained on your corpus. Embedding layer may be either fixed or fine-tuned along with other weights of the network. -
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PivotSuite
Network Pivoting Toolkit
PivotSuite is a portable, platform-independent and powerful network pivoting toolkit, Which helps Red Teamers / Penetration Testers to use a compromised system to move around inside a network. It is a Standalone Utility, Which can use as a Server or as a Client. If the compromised host is directly accessible (Forward Connection) from Our pentest machine, Then we can run pivotsuite as a server on the compromised machine and access the different subnet hosts from our pentest machine, Which was only accessible from the compromised machine. ... -
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pyFileSearcher
simple searching tool for big fileservers
pyFileSearcher was designed to be lightweight, easy to use, but capable of handling a large volume of files tool. A tool that I personally could use on large corporate servers to find out - which files have taken all my space in the last few days? It's free, it's opensource, it's for linux and windows. The program is written in Python 3 using the Qt5. -
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NeuroNER
Named-entity recognition using neural networks
..."deep learning") Is cross-platform, open source, freely available, and straightforward to use. Enables the users to create or modify annotations for a new or existing corpus. Train the neural network that performs the NER. During the training, NeuroNER allows monitoring of the network. Evaluate the quality of the predictions made by NeuroNER. The performance metrics can be calculated and plotted by comparing the predicted labels with the gold labels. -
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oscp
multiplatform, small and handy audio/video player with network remote
...) - wildmidi (mid) - xmp (mod, med, xm, s3m, it, dbm, psm, omx, okt, digi, 669, mtm, acid, umx) - gme (ay, gbs, gym, hes, kss, nsf, nsfe, sap, spc, vgm) - sidplay2 (sid, psid, info) - mdxplay (mdx) - fc14dec (fc, fc13, fc14) - sc68 (sc68, sndh) - asapconv (sap, cmc, cm3, cmr, cms, dmc, dlt, mpt, mpd, rmt, tmc, tm8, tm2) - uade (fc, bp, ay, dl, tfmx, hip, mon, sa, ahx, aon, cust, etc.) feats: - small and fast - zip/rar support - ncurses ui with easy navigation - gtk or classic winamp skins mode (with the ability to load random one) - network remotes (crossplatform linux/windows, written in pygtk, protocol is plain text, ie. easy to write own client) - scrobble (last.fm) - built-in equalizer and effects - lirc (remote) - slave libs statically compiled in (no deps) -- read more in wiki above -
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Xplico
Xplico is a Network Forensic Analysis Tool (NFAT)
Xplico is a Network Forensic Analysis Tool (NFAT). The goal of Xplico is extract from an internet traffic capture the applications data contained. For example, from a pcap file Xplico extracts each email (POP, IMAP, and SMTP protocols), all HTTP contents, each VoIP call (SIP, MGCP, MEGACO, RTP), IRC, WhatsApp... Xplico is able to classify more than 140 (application) protocols.
