Search Results for "use" - Page 63
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Showing 3219 open source projects for "use"
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StreamAlert
StreamAlert is a serverless, realtime data analysis framework
StreamAlert is a serverless, real-time data analysis framework that empowers you to ingest, analyze, and alert on data from any environment, using data sources and alerting logic you define. Computer security teams use StreamAlert to scan terabytes of log data every day for incident detection and response. Incoming log data will be classified and processed by the rules engine. Alerts are then sent to one or more outputs. Rules are written in Python; they can utilize any Python libraries or functions. Merge similar alerts and automatically promote new rules if they are not too noisy. ... -
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TensorFlow Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
TensorFlow Examples is a comprehensive repository of example implementations, tutorials, and reference code intended to help newcomers and intermediate learners dive into TensorFlow quickly. It contains both Jupyter notebooks and raw source code, covering a broad range of tasks: from basic machine-learning and neural-network models to more advanced use cases, using both TensorFlow v1 and v2 APIs. For clarity and educational value, each example is accompanied by explanatory comments or markdown cells to illustrate what the code does and why — a design that makes it especially suitable for self-learners or students following along with real data. Besides raw implementations, the repo often shows best practices using higher-level constructs (e.g. dataset pipelines, estimators, layers) which reflect modern TensorFlow workflows rather than only textbook-style code. -
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Lazybee
Create Best Wordlist From Python Tool In Termux
...It is designed to work on both rooted and non-rooted Android devices and uses a simple interactive interface. Because wordlists are commonly used in credential testing, responsible use should remain limited to authorized security assessments, research, and legitimate data-generation tasks. -
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Trax
Deep learning with clear code and speed
...It is also actively used for research and includes new models like the Reformer and new RL algorithms like AWR. Trax has bindings to a large number of deep learning datasets, including Tensor2Tensor and TensorFlow datasets. You can use Trax either as a library from your own python scripts and notebooks or as a binary from the shell, which can be more convenient for training large models. It runs without any changes on CPUs, GPUs and TPUs. -
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gpt-2-simple
Python package to easily retrain OpenAI's GPT-2 text-generating model
...Additionally, this package allows easier generation of text, generating to a file for easy curation, allowing for prefixes to force the text to start with a given phrase. For finetuning, it is strongly recommended to use a GPU, although you can generate using a CPU (albeit much more slowly). If you are training in the cloud, using a Colaboratory notebook or a Google Compute Engine VM w/ the TensorFlow Deep Learning image is strongly recommended. (as the GPT-2 model is hosted on GCP) You can use gpt-2-simple to retrain a model using a GPU for free in this Colaboratory notebook, which also demos additional features of the package. ... -
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Mocking Bird
Clone a voice in 5 seconds to generate arbitrary speech in real-time
MockingBird is an open-source voice cloning and real-time speech generation toolkit that lets you clone a speaker’s voice from a short audio sample (reportedly as little as 5 seconds) and then synthesize arbitrary speech in that voice. It builds on deep-learning based TTS / voice-cloning technology (in the lineage of projects such as Real-Time-Voice-Cloning), but extends it with support for Mandarin Chinese and multiple Chinese speech datasets — broadening its applicability beyond English.... -
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TorchGAN
Research Framework for easy and efficient training of GANs
The torchgan package consists of various generative adversarial networks and utilities that have been found useful in training them. This package provides an easy-to-use API which can be used to train popular GANs as well as develop newer variants. The core idea behind this project is to facilitate easy and rapid generative adversarial model research. TorchGAN is a Pytorch-based framework for designing and developing Generative Adversarial Networks. This framework has been designed to provide building blocks for popular GANs and also to allow customization for cutting-edge research. ... -
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itamm
Tool to design and share enterprise solutions, services and processes
...It allows you to visualize data using popular BPMN and ArchiMate visualization notation. It also has its own extensible notation for visualizing enterprise environment objects. IT(A)-MM is easy to use and allows you to use it wherever you are. Using IT(A)-MM can be the first step towards deploy of the AIAS "A-STACK" to the enterprise environment. AIAS "A-STACK" is the complex tool for enterprise architecture management, IT infrastructure monitoring, meta-data management. See more on https://www.itursoft.ru/solutions -
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Scikit-Optimize
Sequential model-based optimization with a `scipy.optimize` interface
Scikit-Optimize, or skopt, is a simple and efficient library to minimize (very) expensive and noisy black-box functions. It implements several methods for sequential model-based optimization. skopt aims to be accessible and easy to use in many contexts. The library is built on top of NumPy, SciPy and Scikit-Learn. -
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django-summernote
Simply integrate Summernote editor with Django project
...Please mind, that the widget does not provide any escaping. If you expose the widget to external users without taking care of this, it could potentially lead to an injection vulnerability. Therefore you can use the SummernoteTextFormField or SummernoteTextField, which escape all harmful tags through mozilla's package bleach. django-summernote is served with Bootstrap3 by default, but you can choose other options. -
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MAGeCK
Model-based Analysis of Genome-wide CRISPR-Cas9 Knockout
MAGeCK2 is here: https://github.com/davidliwei/mageck2 Model-based Analysis of Genome-wide CRISPR-Cas9 Knockout (MAGeCK) is a computational tool to identify important genes from the recent genome-scale CRISPR-Cas9 knockout screens technology. For instructions and documentations, please refer to the wiki page. MAGeCK is developed by Wei Li and Han Xu from Dr. Xiaole Shirley Liu's lab at Dana-Farber Cancer Institute/Harvard School of Public Health, and is maintained by Wei Li lab at... -
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PythonStarSplitter
A Python Script I made to split a starfield image into several layers.
A Python Script I made to split a starfield image into several layers. To be able to use the script, PixInsight with an installed Gaia data catalogue is required, as it needs the exported astrometry data text file. -
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YOLOR
implementation of paper - You Only Learn One Representation
...It builds on the YOLO family and related PyTorch detection work, combining practical detector training with a research idea about unified representations. YOLOR includes model configurations, training code, evaluation scripts, inference tools, and pretrained weights. Its central contribution is the use of implicit knowledge to improve network performance without treating every task as fully separate. It is useful for computer vision researchers and developers studying YOLO-style detectors, representation learning, and high-performance detection systems. -
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PersonGen
A minor Project in Python which uses the RandomUser API .
A Small Program in Python That Makes Use of RandomUser API To Generate Random Person Data. -
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twitchtube
Twitch YouTube bot. Automatically make video compilations
Automatically make video compilations of the most viewed Twitch clips, and upload them to YouTube using Python 3. twitchtube is currently being rewritten, which will include breaking changes. Every parameter that is not specified, will default to an assigned value in config.py. -
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PowerfulSeal
A powerful testing tool for Kubernetes clusters.
PowerfulSeal injects failure into your Kubernetes clusters so that you can detect problems as early as possible. It allows for writing scenarios describing complete chaos experiments. -
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Rescatux
Easy to use Repair distribution for both Gnu/Linux and Windows systems
Rescatux is a GNU/Linux repair cd (and eventually also Windows) but it is not like other rescue disks. Rescatux comes with Rescapp. Rescapp is a nice wizard that will guide you through your rescue and repair tasks. When the wizard is not able to solve your problem you can also enjoy of Rescatux unique support features: * Chat: Open the chat for asking help directly in Rescatux channel. * Share log: After running an option you can share its log (the action registry that it has done) so... -
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Aquila DB
An easy to use Neural Search Engine
Aquila DB is a Neural search engine. In other words, it is a database to index Latent Vectors generated by ML models along with JSON Metadata to perform k-NN retrieval. It is dead simple to set up, language-agnostic, and drop in addition to your Machine Learning Applications. Aquila DB, as of current features is a ready solution for Machine Learning engineers and Data scientists to build Neural Information Retrieval applications out of the box with minimal dependencies. -
19
AnyStatus
Get your own sweet custom status for discord
...Paste your account token and your desired prefix in `config.json`. The file can be opened using the normal Notepad. You can find your token here. You need to have Python installed to use AnyStatus. Next, open a new terminal in the current folder and execute the following command: pip install -r requirements.txt Then open main.py and your custom status is ready :) Send `<prefix><activity> = <text>` in any discord channel to change your status. Example: `!playing = Minecraft` You can alternatively run `chmod +x run.sh` in the console and open run.sh afterwards or open run.bat if you're a windows user for automatic package installation and quick launch. ... -
20
Spleeter
Deezer source separation library including pretrained models
...It makes it easy to train music source separation models (assuming you have a dataset of isolated sources), and provides already trained state of the art models for performing various flavours of separation. 2 stems and 4 stems models have state of the art performances on the musdb dataset. Spleeter is also very fast as it can perform separation of audio files to 4 stems 100x faster than real-time when run on a GPU. We designed Spleeter so you can use it straight from command line as well as directly in your own development pipeline as a Python library. It can be installed with Conda, with pip or be used with Docker. -
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Ligaturizer
Programming Fonts with Ligatures added
...(Note that the ligatures are scale-corrected, but otherwise copied as is from Fira Code; it doesn't create new ligature graphics based on the font you're modifying.) This repo contains a Fontforge python script that you can use to add the Fira Code ligatures to any font, as well as submodules for some popular coding fonts and another script for ligaturizing all of them at once. The font-weight will be inherited from the original file; the font name will be replaced with whatever you specified in --output-name. You can also use --prefix instead, in which case the original name will be preserved and whatever you put in --prefix will be prepended to it. -
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HistogramsApp
Application that generates KDE-PDP plots from geochronological data
HistogramsApp is a Python 3.6 application that generates (KDE and PDP) from geochronological data .HistogramsApp allows to interactively setup plot parameters such as the bandwidth and the peak detection sensibility. To cite the application please refer to: 1) https://www.tandfonline.com/doi/abs/10.1080/00206814.2021.1954556?journalCode=tigr20 Rodriguez-Corcho, A. F., Rojas-Agramonte, Y., Barrera-Gonzalez, J. A., Marroquin-Gomez, M. P., Bonilla-Correa, S., Izquierdo-Camacho, D.,... -
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HashApp
python software for cracking and creating SHA and MD5 hashes
...Unless the word search fails with the online dictionary, you can't use a txt dictionary. But don't worry; you just have to store your txt on github (like the default dictionary above). -
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Celestial Precomputation
Sight Reduction for Air Navigation with Python
Warning: I found an error if the DR position is on the southern hemisphere. The PUB249 pdf files did not show this error and are correct (as far as I checked). All Revisions 8+ and the Windows release have been fixed. This Python TK application calculates a good set of stars for a 3 star fix, makes all calculations similar to the FAAs Celestial Computation Sheet (see FAA doc FAA-H-8083-18). Also, you can create a PDF file that generates Pub 249 Vol 1 for any epoch you specify. The... -
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JSONVisor
Visor for mass spectrometry JSON files generated by Integrator
Visor for mass spectrometry JSON files generated by the Integrator program (Python 3 version). For more information, you can have a look at the README.md file in the source code tree: https://sourceforge.net/p/lp-csic-uab/jsonvisor3/code/ci/default/tree/README.md - Gallardo, Ó., Ovelleiro, D., Gay, M., Carrascal, M., & Abian, J. (2014). A collection of open source applications for mass spectrometry data mining. PROTEOMICS, 14(20), 2275–2279. https://doi.org/10.1002/pmic.201400124
