Search Results for "python code generator" - Page 70
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Showing 2817 open source projects for "python code generator"
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Inelastica
Transport code and tools based on SIESTA and TranSIESTA (DFT-NEGF)
...Pre- and post-processing tools for SIESTA (DFT, quantum chemistry) and TranSIESTA (quantum transport): (1) Calculate phonon frequencies, e-ph couplings, and inelastic contributions to the conductance (IETS). (2) Access Hamiltonian etc from Python. Some code documentation and installation instructions are available at this mediawiki page: http://dipc.ehu.es/frederiksen/inelastica/index.php. -
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Deepo
Set up deep learning environment in a single command line
Deepo is a series of Docker images that allows you to quickly set up your deep learning research environment, supports almost all commonly used deep learning frameworks, supports GPU acceleration (CUDA and cuDNN included), also works in CPU-only mode, and works on Linux (CPU version/GPU version), Windows (CPU version) and OS X (CPU version). Their Dockerfile generator that allows you to customize your own environment with Lego-like modules, and automatically resolves the dependencies for... -
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BlockSparse
Efficient GPU kernels for block-sparse matrix multiplication
The blocksparse repository provides efficient GPU kernels (TensorFlow custom ops) for block-sparse matrix multiplication and convolution operations. The idea is to exploit block-level sparsity — i.e. treat matrices or weight tensors as composed of blocks, many of which may be zero or unused — to save compute and memory when sparsity patterns are structured. This is particularly useful in models like Sparse Transformers, where attention matrices or intermediate layers may adopt block-sparse... -
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CoVim
Collaborative Editing for Vim
CoVim enables collaborative, real-time editing sessions in Vim by networking multiple clients into a shared buffer. Participants can see each other’s cursors and changes as they type, approximating pair programming inside a modal editor. Sessions are hosted on a server process that coordinates edits and user presence across machines. The goal is to keep collaboration simple while preserving familiar Vim motions and commands. It is particularly handy for remote code walkthroughs, mentoring,... -
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Five video classification methods
Code that accompanies my blog post outlining five video classification
Classifying video presents unique challenges for machine learning models. As I’ve covered in my previous posts, video has the added (and interesting) property of temporal features in addition to the spatial features present in 2D images. While this additional information provides us more to work with, it also requires different network architectures and, often, adds larger memory and computational demands.We won’t use any optical flow images. This reduces model complexity, training time, and... -
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trnsys-fmu
The FMI++ TRNSYS FMU Export Utility
This project has been moved to https://github.com/fmipp/trnsys-fmu This open-source project provides a stand-alone tool for exporting FMUs for Co-Simulation from TRNSYS 17 models. The current release supports FMI version 1.0 and 2.0. Instructions on installation and usage are given in the documentation, which is provided as part of the download. This documentation also contains a tutorial on how to export a TRNSYS model as FMU for co-simulation and how to link it with a simple... -
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pycodestyle
Simple Python style checker in one Python file
pycodestyle (formerly pep8) is a tool to check your Python code against some of the style conventions in PEP 8. This package used to be called pep8 but was renamed to pycodestyle to reduce confusion. Plugin architecture, adding new checks is easy. Parseable output, jump to error location in your editor. Just one Python file, requires only stdlib. You can use just the pycodestyle.py file for this purpose. -
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A Complete Beginner's Guide to Django
A Complete Beginner's Guide to Django - Code Samples
Code samples from the Django tutorial series. I’m starting a new tutorial series about Django fundamentals. It’s a complete beginner’s guide to start learning Django. The material is divided into seven parts. We’re going to explore all the basic concepts in great detail, from installation, and preparation of the development environment, models, views, templates, URLs to more advanced topics such as migrations, testing, and deployment. -
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Open-source Python software library and GUI desktop environment for direct bioinformatic analysis of mass-spectrometry data through powerful scripting tools and interfaces to many machine data formats, database search engines, and peptide data formats. For a copy of the source code, check out our Github repositories: mzDesktop: https://github.com/MaxAlex/mzDesktop multiplierz: https://github.com/MaxAlex/multiplierz
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Pygorithm
A Python module for learning all major algorithms
A Python module to learn all the major algorithms on the go! Purely for educational purposes. If you are using Python 2.7 use pip instead. Depending on your permissions, you might need to use pip install, user pygorithm to install. To see all the available functions in a module, you can just type help() with the module name as an argument. -
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Seq2Seq Chatbot
Chatbot in 200 lines of code using TensorLayer
Seq2Seq Chatbot is an implementation of a sequence-to-sequence chatbot model using TensorLayer, demonstrating how to build conversational agents with minimal code. -
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httpbin
HTTP request and response service, written in Python + Flask
httpbin is a HTTP request & response service. It is written in Python and Flask. With the HTTP methods you can test different HTTP verbs. You also have auth methods, status codes to generate responses with given status code, request inspection features to inspect the request data, response inspection to inspect the response data like caching and headers. The response formats feature returns responses in different data formats, the dynamic data feature generates random and dynamic data. ... -
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auto_ml
Automated machine learning for analytics & production
auto_ml is designed for production. Here's an example that includes serializing and loading the trained model, then getting predictions on single dictionaries, roughly the process you'd likely follow to deploy the trained model. Before you go any further, try running the code. Load up some data (either a DataFrame, or a list of dictionaries, where each dictionary is a row of data). Make a column_descriptions dictionary that tells us which attribute name in each row represents the value we’re... -
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Sistem Informasi Desa Kawasan
Aplikasi Sistem Informasi Desa Dan Kawasan
...Untuk Menjalankan cukup mudah , tinggal di install dan dijalankan . secara Default aplikasi akan diintall di c:\wxSID dan untuk memeriksa seluruh hasil baik pembuatan surat layanan masyarakat Otomatis dan lainnya seluruh filenya berada di C:\WxSID\Data . Untuk masuk kesetiap layanan : Nama : admin Password : admin Bila membutuhkan Source Code secara keseluruhan dapat menghubungi twitter @pythonesiaorg . Aplikasi ini dikembangkan dengan menggunakan : a. Python2.7 b. WxPython2.8 c. Python-Docx d. Jinja2 e. Docxtpl f. Openpyxl g. Pymysql -
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RPi reset/power button
Service and handler code for a power/reset button
This project includes a spin/wait handler for processing reset/shutdown behavior from a button, configuration files for setting this up as a service, and instructions for placing the files and enabling the service. -
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Flasky
Companion code to my O'Reilly book "Flask Web Development"
Flasky is a comprehensive example web application built with the Flask microframework that demonstrates best practices for developing real-world Python web applications, covering everything from project structure and configuration to database models, authentication, and deployment. It serves as both a tutorial and sample codebase that walks developers through building a full-featured web application, including user registration and login, role-based permissions, user profiles, and content... -
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Chronological Cohesive Units
The experimental source code for the paper
The experimental source code for the paper, "A Novel Recommendation Approach Based on Chronological Cohesive Units in Content Consuming" -
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SaberNet DCS is a labor data collection system, designed to allow organizations to rapidly capture their labor data in real-time. Optimized for bar code input, DCS is the perfect way to automate and improve the accuracy of your time tracking.
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PyXB (“pixbee”) is a pure Python package that generates Python source code for classes that correspond to data structures defined by XMLSchema. In concept it is similar to JAXB for Java and CodeSynthesis XSD for C++.
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EDCC-CNG
Exploration and categorization of CREs and CRMs
...We developed two programs that serve as exploratory tools in the analysis of CRM-mediated control of gene expression: “Exploration of Distinctive CREs and CRMs” (EDCC) and “CRM Network Generator” (CNG). EDCC correlates the presence and positions of CREs/CRMs with gene expression data and identifies candidate regulatory elements for further functional analysis. CNG provides an unbiased neural network approach to assess the importance of positional features that were determined by EDCC. To sustain a high computational performance even for large datasets, the mostly in Python 3 written programs use k-mer based indexing, parallelization and a neural network approach for categorization. ... -
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Confix is a build tool for source code packages, on top of GNU Automake. It inspects the package's source code, tracks inter package dependencies, propagates checks across package boundaries, and finally writes Automake input files for the maintainer.
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Machine Learning for OpenCV
M. Beyeler (2017). Machine Learning for OpenCV
M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4. -
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Lip Reading
Cross Audio-Visual Recognition using 3D Architectures
The input pipeline must be prepared by the users. This code is aimed to provide the implementation for Coupled 3D Convolutional Neural Networks for audio-visual matching. Lip-reading can be a specific application for this work. Audio-visual recognition (AVR) has been considered as a solution for speech recognition tasks when the audio is corrupted, as well as a visual recognition method used for speaker verification in multi-speaker scenarios. The approach of AVR systems is to leverage the... -
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itchat
A complete and graceful API for Wechat
itchat is an open-source WeChat personal account interface, it has never been easier to use python to call WeChat. With less than thirty lines of code, you can have a WeChat bot that handles all the information. Of course, the use of this api is far more than a robot, and more functions are waiting for you to discover. This interface shares a similar operation method with the public account interface itchatmp , learning to master two tools at a time. -
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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...