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Showing 217 open source projects for "result"
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Demo Series - Small Business Backup By VeeamWatch this on-demand demo series and learn how to protect your Microsoft 365 data with clear, simple, actionable steps that are easy to implement for businesses of all sizes.
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min(DALL·E)
min(DALL·E) is a fast, minimal port of DALL·E Mini to PyTorch
...Once everything has finished initializing, call generate_image with some text as many times as you want. Use a positive seed for reproducible results. Higher values for supercondition_factor result in better agreement with the text but a narrower variety of generated images. Every image token is sampled from the top_k most probable tokens. The largest logit is subtracted from the logits to avoid infs. The logits are then divided by the temperature. If is_seamless is true, the image grid will be tiled in token space not pixel space. -
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h8mail
Email OSINT tool for finding breached credentials by email
h8mail is an open source email OSINT and password breach hunting tool designed to help security professionals investigate compromised credentials associated with email addresses. It works by querying multiple breach and reconnaissance services to identify whether an email address has appeared in publicly leaked datasets. The tool can also search locally stored breach dumps, such as Troy Hunt’s “Collection1” or the widely known “Breach Compilation,” allowing investigators to analyze large... -
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mlscraper
ML-based HTML scraper that learns extraction rules from examples
...Internally, the project processes HTML documents, identifies relevant elements in the DOM, and builds extraction logic based on statistical or heuristic analysis of the training samples. The result is a developer-oriented tool that aims to automate common scraping workflows. -
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DomE
Implements a reference architecture for creating information systems
...Thus, an alternative to the traditional software production processes is proposed, which involves several stages and different actors, sometimes demanding a lot of time and money without obtaining the expected result. With software engineering techniques, self-adaptive systems, and artificial intelligence, it is possible, the integration between design time and execution time. -
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AnyBackup
A Win32 Specific Backup Program
...Disclaimer: AnyBackup is not an enterprise solution and I make no guarantees and offer no warranties. I have been using it to keep up to date backups of ~11tb of data for the duration of the project and I've suffered no data loss as a result. This, however, does not mean that through bugs or user error data loss cannot occur. -
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Interactive Deep Colorization
Deep learning software for colorizing black and white images
...The idea is to merge automatic colorization (via neural networks) with optional user guidance — so if the automatic model’s guess isn’t quite right, the user can nudge colors via hints to steer the result, achieving more controlled, satisfying outputs. The project includes both the older Caffe-based implementation and a more recent PyTorch backend, giving flexibility depending on user preference and infrastructure. Because it handles image reading, hint interpretation, and color mapping internally, users don’t need to build the colorization pipeline from scratch: they only need to supply grayscale images (and optionally hints), and the software produces a full-color version. -
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tom_core
tom_core - a tool for automating events on a computer
tom_core is a software tool used for the automation of everything that happens on your computer. By using this application, you can easily record your activity on your computer, starting the recording at any moment that you choose. The application repeats all your clicks or drags, keystrokes, hotkeys, etc. All in exactly the timing and number of repetitions you need. The toolbox such as the optical recognition and voice control enables to branch out the recordings into complex forms, with... -
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Manticore
Symbolic execution tool
Manticore helps us quickly take advantage of symbolic execution, taint analysis, and instrumentation to analyze binaries. Parts of Manticore underpinned our symbolic execution capabilities in the Cyber Grand Challenge. As an open-source tool, we hope that others can take advantage of these capabilities in their own projects. We prioritized simplicity and usability while building Manticore. We used minimal external dependencies and our API should look familiar to anyone with exploitation or... -
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VSGAN
VapourSynth Single Image Super-Resolution Generative Adversarial
Single Image Super-Resolution Generative Adversarial Network (GAN) which uses the VapourSynth processing framework to handle input and output image data. Transform, Filter, or Enhance your input video, or the VSGAN result with VapourSynth, a Script-based NLE. You can chain models or re-run the model twice-over (or more). Have low VRAM? Don’t worry! The Network will be applied in quadrants of the image to reduce up-front VRAM usage. You can use any RGB video input, including float32 (e.g., RGBS) inputs. Using VapourSynth you can pass a Video directly to VSGAN, without any frame extraction needed. ... -
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.
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reslog reverse-resolves IPs in Apache log files. The result can then be analyzed by another program, like Analog. You can think of it as a replacement of the Apache HostNameLookups directive, in the sense that it resolves client IPs altogether once a d
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TRACER
Extreme Attention Guided Salient Object Tracing Network
Extreme Attention Guided Salient Object Tracing Network (AAAI 2022) implementation in PyTorch. Now, fast inference mode offers a salient object result with the mask. You can get the more clear salient object by tuning the threshold. We will release initializing TRACER with a version of pre-trained TE-x. -
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Interpret-Text
State-of-the-art explainers for text-based machine learning models
A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard. Interpret-Text builds on Interpret, an open source python package for training interpretable models and helping to explain blackbox machine learning systems. We have added extensions to support text models. Interpret-Text incorporates community-developed interpretability techniques for NLP models and a visualization dashboard to view the results. ... -
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proxy-ping
Tool to ping hosts through firewalls blocking ICMP
The utility `ProxyPing` is a simple tool to ping servers behind a firewall that will not let ICMP packages through. It provides a HTTP server answering to ping requests and returning the ping delay as a HTTP text result. The tool will have to be deployed on a server behind the firewall that can be reached by a configurable TCP connection (defaulting to port TCP 6666). -
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PyG2Plot
Python3 binding Plotting Library
...The library is inspired by pyecharts and is designed to make web-based charts available from Python workflows. Users create a Plot instance, set chart options, and render the result as an HTML file, HTML string, notebook preview, or JupyterLab output. It also supports JavaScript callbacks through a JS helper, which makes advanced customization possible when chart behavior needs JavaScript logic. Overall, it is a useful visualization bridge for Python users who want AntV-style charts in scripts, notebooks, or web outputs. -
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OpenDrop
An open Apple AirDrop implementation written in Python
...We support contacts-only devices by using extracted AirDrop credentials (keys and certificates) from macOS via our keychain extractor. OpenDrop is experimental software and is the result of reverse engineering efforts by the Open Wireless Link project. Therefore, it does not support all features of AirDrop or might be incompatible with future AirDrop versions. OpenDrop is not affiliated with or endorsed by Apple Inc. Use this code at your own risk. -
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CapsGNN
A PyTorch implementation of "Capsule Graph Neural Network"
...Inspired by the Capsule Neural Network (CapsNet), we propose the Capsule Graph Neural Network (CapsGNN), which adopts the concept of capsules to address the weakness in existing GNN-based graph embeddings algorithms. By extracting node features in the form of capsules, routing mechanism can be utilized to capture important information at the graph level. As a result, our model generates multiple embeddings for each graph to capture graph properties from different aspects. -
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nbdev template
Template for nbdev projects
Write, test, document, and distribute software packages and technical articles, all in one place, your notebook. Traditional programming environments throw away the result of your exploration in REPLs or notebooks. nbdev makes exploration an integral part of your workflow, all while promoting software engineering best practices. -
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dumb-init
A minimal init system for Linux containers
Lightweight containers have made running a single process without normal init systems like systemd or sysvinit practical. However, omitting an init system often leads to incorrect handling of processes and signals, and can result in problems such as containers that can’t be gracefully stopped, or leaking containers that should have been destroyed. dumb-init is simple to use and solves many of these problems: you can just add it to the front of any container’s command, and it will take on the role of PID 1 for itself. It immediately spawns your process as PID ~2, and then proxies on any signals it receives. ... -
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googler
Google from the terminal
googler is a power tool to Google (web, news, videos and site search) from the command line. It shows the title, URL and abstract for each result, which can be directly opened in a browser from the terminal. Results are fetched in pages (with page navigation). Supports sequential searches in a single googler instance. googler was initially written to cater to headless servers without X. You can integrate it with a text-based browser. However, it has grown into a very handy and flexible utility that delivers much more. ... -
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Hasklig
A code font with monospaced ligatures
Programming languages are limited to relatively few characters. As a result, combined character operators surfaced quite early, such as the widely used arrow (->), comprised of a hyphen and greater sign. It looks like an arrow if you know the analogy and squint a bit. Composite glyphs are problematic in languages such as Haskell which utilize these complicated operators (=> -< >>= etc.) extensively. The readability of such complex code improves with pretty printing. -
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Deep Exemplar-based Video Colorization
The source code of CVPR 2019 paper "Deep Exemplar-based Colorization"
...Video frames are colorized in sequence based on the colorization history, and its coherency is further enforced by the temporal consistency loss. All of these components, learned end-to-end, help produce realistic videos with good temporal stability. Experiments show our result is superior to the state-of-the-art methods both quantitatively and qualitatively. In order to colorize your own video, it requires to extract the video frames, and provide a reference image as an example. -
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googler
Google Search, Google Site Search, Google News from the terminal
googler is a power tool to Google (Web & News) and Google Site Search from the command-line. It shows the title, URL and abstract for each result, which can be directly opened in a browser from the terminal. Results are fetched in pages (with page navigation). Supports sequential searches in a single googler instance. googler was initially written to cater to headless servers without X. You can integrate it with a text-based browser. However, it has grown into a very handy and flexible utility that delivers much more. ... -
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BigchainDB Server
Meet BigchainDB. The blockchain database
BigchainDB is the blockchain database. This repository is for the BigchainDB Server. Running and testing the latest version of the BigchainDB Server is easy. Make sure you have a recent version of Docker Compose installed. -
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3DDFA
Fast, accurate and stable 3D dense face alignment
This work extends 3DDFA, named 3DDFA_V2, titled Towards Fast, Accurate and Stable 3D Dense Face Alignment, accepted by ECCV 2020. The supplementary material is here. The gif above shows a webcam demo of the tracking result, in the scenario of my lab. This repo is the official implementation of 3DDFA_V2. Compared to 3DDFA, 3DDFA_V2 achieves better performance and stability. Besides, 3DDFA_V2 incorporates the fast face detector FaceBoxes instead of Dlib. A simple 3D render written by c++ and cython is also included. This repo supports the onnxruntime, and the latency of regressing 3DMM parameters using the default backbone is about 1.35ms/image on CPU with a single image as input. ... -
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Tashkeela processed
Tashkeela dataset cleaned and normalized.
...The cleaning process includes removing the XML tags and strange symbols, as well as fixing diacritics errors. After that, the tokenization is performed while focusing on the extraction of the Arabic words. The result is a space-separated tokens file, where the words and the numbers are separated, but not the sequences of punctuation (ie, an ending parenthesis followed by a dot). The sentence segmentation is done at usual punctuations such as dots, commas, interrogation/exclamation marks, and line end as well. The partition process is done by shuffling groups of sentences then dividing each group into three parts (Train/Val/Test) and storing them in individual files. ...
