Search Results for "framework python" - Page 52
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Showing 2026 open source projects for "framework python"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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TorchCraft
Connecting Torch to StarCraft
...We provide off-the-shelf solutions for Python and Lua. -
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cookiecutter-django-rest
Build best practiced apis fast with Python3
You need to make a scalable api on a deadline. You deeply care about the quality of your work. cookiecutter-django-rest takes care of the details so you can focus on making your api awesome. Scaffolding a project takes seconds and it gives you authentication, user accounts, and the docs and tests to support them. Just add your own resources to the api and start shipping. Start off with full test coverage, continuous integration, and continuous deployment. Complete Django Rest Framework... -
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Intel neon
Intel® Nervana™ reference deep learning framework
neon is Intel's reference deep learning framework committed to best performance on all hardware. Designed for ease of use and extensibility. See the new features in our latest release. We want to highlight that neon v2.0.0+ has been optimized for much better performance on CPUs by enabling Intel Math Kernel Library (MKL). The DNN (Deep Neural Networks) component of MKL that is used by neon is provided free of charge and downloaded automatically as part of the neon installation. The gpu... -
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regression-plot
python module to create plots for linear and logistic regression
The module offers one-line-functions to create plots for linear regression and logistic regression. You can spot outliers, and judge if your data is really suited for regression. The code is built upon matplotlib and looks good with seaborn.set_style("whitegrid") -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Rekall
Rekall Memory Forensic Framework
Rekall is a powerful memory forensics framework that turns raw RAM captures—or live system state—into structured artifacts investigators can query and script. It ships with a large collection of plugins that parse OS internals to recover processes, modules, sockets, registry hives, and file objects, even when rootkits try to hide them. The design emphasizes repeatability: investigators run well-defined analyses that produce timelines, indicators, and reports suitable for case work or... -
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Gains-Chart
gains chart creation and scoring for classification estimators
A python module that provides a lean function to create gain charts, lift charts for the validation of classification algorithms. It uses matplotlib.pylab and looks best with seaborn.set_style("whitegrid") Also a score function is provided to score a gain chart or all gain charts of all classes of a classification problem. This score function can be used as a scorer within sklearn functions like cross_val_score, GridSearch. -
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Acoustic Research Tool (ART)
Acoustic Simulation Library for Frequency and Time Domain Simulations.
ART is a flexible simulation framework for wind instruments. It includes a growing library of modelling elements. So far bore discontinuities, branches, tone holes, cylindrical and conical tubes, Bessel horns and bent tubes are available for frequency domain modelling. In the time domain generic bidirectional propagation elements, scattering elements, fractional delays, convolution with reflection functions and general z-domain networks are available and can be described using MuParserX... -
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A Complete Beginner's Guide to Django
A Complete Beginner's Guide to Django - Code Samples
...That was when I came up with the idea to create some comics along the text to illustrate some concepts and scenarios. I hope you enjoy the reading! Django is a Web framework written in Python. A Web framework is a software that supports the development of dynamic Web sites, applications, and services. It provides a set of tools and functionalities that solves many common problems associated with Web development. -
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NNVM
Open deep learning compiler stack for cpu, gpu
...Automatically generate and optimize tensor operators on more backends. Need support for block sparsity, quantization (1,2,4,8 bit integers, posit), random forests/classical ML, memory planning, MISRA-C compatibility, Python prototyping or all of the above? NNVM flexible design enables all of these things and more. -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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Solid Python
A comprehensive gradient-free optimization framework written in Python
Solid is a Python framework for gradient-free optimization. It contains basic versions of many of the most common optimization algorithms that do not require the calculation of gradients, and allows for very rapid development using them. -
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Pootle Django
Online translation tool
Pootle is written in Python using the Django framework and therefore can be installed on any web server that supports serving WSGI applications. Key localization file formats are supported, including Gettext PO, XLIFF, Java .properties, PHP arrays and many more supported by the Translate Toolkit. Ensures the best quality localizations by automatically detecting common errors made by translators. -
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Crow
Crow is very fast and easy to use C++ micro web framework
Crow is C++ microframework for web. (inspired by Python Flask). If you just want to use crow, copy amalgamate/crow_all.h and include it. C++ compiler with good C++11 support (tested with g++>=4.8). Provide an amalgamated header file crow_all.h with every features. Handler arguments type check at compile time. Now supporting VS2013 with limited functionality (only run-time check for url is available.) Out-of-source build with CMake is recommended. -
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Flasky
Companion code to my O'Reilly book "Flask Web Development"
...The project shows how to organize a Flask application into reusable blueprints, configure environment-specific settings, integrate SQL databases via SQLAlchemy, and manage migrations. Beyond the core web functionality, Flasky illustrates testing strategies using Python’s unittest framework, including tests for models, views, and authentication flows to promote test-driven development. -
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Deep Learning with Keras and Tensorflow
Introduction to Deep Neural Networks with Keras and Tensorflow
Introduction to Deep Neural Networks with Keras and Tensorflow. To date tensorflow comes in two different packages, namely tensorflow and tensorflow-gpu, whether you want to install the framework with CPU-only or GPU support, respectively. NVIDIA Drivers and CuDNN must be installed and configured before hand. Please refer to the official Tensorflow documentation for further details. Since version 0.9 Theano introduced the libgpuarray in the stable release (it was previously only available in... -
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REST framework JWT Auth
JSON Web Token Authentication support for Django REST Framework
JSON Web Token Authentication support for Django REST Framework. This package provides JSON Web Token Authentication support for Django REST framework. Unlike some more typical uses of JWTs, this module only generates authentication tokens that will verify the user who is requesting one of your DRF protected API resources. The actual request parameters themselves are not included in the JWT claims which means they are not signed and may be tampered with. You should only expose your API... -
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Needle
The iOS Security Testing Framework
Needle is an open-source, modular framework to streamline the process of conducting security assessments of iOS apps. Needle was originally made to work with iOS 9 and iOS 10. Since then, Frida was released and become the defacto tool to use with mobile security assessments. Some common Frida mobile security scripts were later implemented within Needle, as some of these scripts worked better or addressed some issues that were present in Needle's custom tooling. Assessing the security of an... -
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Learning to Learn in TensorFlow
Learning to Learn in TensorFlow
Learning to Learn, created by Google DeepMind, is an experimental framework that implements meta-learning—training neural networks to learn optimization strategies themselves rather than relying on manually designed algorithms like Adam or SGD. The repository provides code for training and evaluating learned optimizers that can generalize across different problem types, such as quadratic functions and image classification tasks (MNIST and CIFAR-10). Using TensorFlow, it defines a... -
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Caffe2
Caffe2 is a lightweight, modular, and scalable deep learning framework
Caffe2 is a lightweight, modular, and scalable deep learning framework. Building on the original Caffe, Caffe2 is designed with expression, speed, and modularity in mind. Caffe2 is a deep learning framework that provides an easy and straightforward way for you to experiment with deep learning and leverage community contributions of new models and algorithms. You can bring your creations to scale using the power of GPUs in the cloud or to the masses on mobile with Caffe2’s cross-platform... -
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SSL Logger
Decrypts and logs a process's SSL traffic
ssl_logger is a Python-based tool that decrypts and logs a target process’s SSL/TLS traffic on Linux and macOS. It attaches to a running process by name or PID and hooks SSL_read and SSL_write calls to capture plaintext data flowing through encrypted connections. Output can be streamed to the console with verbose metadata or written to a PCAP file for later analysis in standard tooling. -
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omegalib
Hybrid visualization framework for desktops, large immersive displays
A hybrid visualization framework for desktops, large immersive displays and the web. A framework for virtual reality and cluster-driven display systems. Requires Python (the pre-installed 2.7 version on OSX and most linux distros works fine, on Windows omegalib comes with python bundled so you don't need this). C++ Build tools for your platform (g++, clang/XCode, Visual Studio 2012/2013 depending on the OS). -
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asif
Arch-Linux Simple Install Framework
A simple cursor-based step by step install program enveloping the basic Archlinux installation process. It is used with Archlinux installation ISO image, in x86_64 live system only. The asif-pkg.tar shipping with packages does not require a network connection. The asif.tar needs a network connection, and please remember to configure your /etc/pacman.d/mirrorlist. f2fs and MVNe support is added. I will update the UI to make it selectable later. Sorry I got no spare time for... -
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Phaistos is a framework for all-atom Monte Carlo simulations of proteins. It incorporates several advanced probabilistic models of protein structure for conformational sampling, efficient move-algorithms and the OPLS and PROFASI forcefields.
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Password Guessing Framework
A Framework for Comparing Password Guessing Strategies
The Password Guessing Framework is an open source tool to provide an automated and reliable way to compare password guessers. It can help to identify individual strengths and weaknesses of a guesser, its modes of operation or even the underlying guessing strategies. Therefor, it gathers information about how many passwords from an input file (password leak) have been cracked in relation to the amount of generated guesses. Subsequent to the guessing process an analysis of the cracked... -
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seq2seq
A general-purpose encoder-decoder framework for Tensorflow
seq2seq is an early, influential TensorFlow reference implementation for sequence-to-sequence learning with attention, covering tasks like neural machine translation, summarization, and dialogue. It packaged encoders, decoders, attention mechanisms, and beam search into a modular training and inference framework. The codebase showcased best practices for batching, bucketing by sequence length, and handling variable-length sequences efficiently on GPUs. Researchers used it as a baseline to... -
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PyTP
Easy, lazy, crazy.
Latest version: 0.21 Release date: 26.06.2017 -------------------------------------------------------- PyTP is an easy-to-learn Python framework.
