Search Results for "learn python source codes" - Page 13
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Showing 408 open source projects for "learn python source codes"
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Walle 2.0
Walle 2.0 web
...Online order application, review, grayscale release, real-time websocket. Walle allows users to release code and finally can not only choose jenkins! Support various web code releases, release and rollback of php, java, python, go and other codes can be completed with one click through the web. walle is a freely configurable project, more user-friendly, high-value, an open source online deployment system that supports git, multi-user, multi-language, multi-project, and multi-environment simultaneous deployment. -
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TensorFlow Docs
TensorFlow latest official documentation Chinese version
TensorFlow Docs repository maintained by the Xitu translation community provides a Chinese version of the official TensorFlow documentation. Its goal is to make the extensive TensorFlow ecosystem more accessible to developers and researchers who prefer to learn in Chinese. The repository contains translated guides, API explanations, tutorials, and conceptual documentation that mirror the structure of the original TensorFlow documentation site. Contributors from technology companies,... -
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automl-gs
Provide an input CSV and a target field to predict, generate a model
Give an input CSV file and a target field you want to predict to automl-gs, and get a trained high-performing machine learning or deep learning model plus native Python code pipelines allowing you to integrate that model into any prediction workflow. No black box: you can see exactly how the data is processed, and how the model is constructed, and you can make tweaks as necessary. automl-gs is an AutoML tool which, unlike Microsoft's NNI, Uber's Ludwig, and TPOT, offers a zero code/model... -
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NeuroNER
Named-entity recognition using neural networks
Named-entity recognition (NER) aims at identifying entities of interest in the text, such as location, organization and temporal expression. Identified entities can be used in various downstream applications such as patient note de-identification and information extraction systems. They can also be used as features for machine learning systems for other natural language processing tasks. Leverages the state-of-the-art prediction capabilities of neural networks (a.k.a. "deep learning") Is... -
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Islam 99 names of Allah
This Python 3 software help you to learn to 99 name of Allah.
This Python 3 software help you to learn to 99 name of Allah. Information there : https://simple.wikipedia.org/wiki/Names_of_God_in_Islam For Linux or other operating systems download it from the sources and install Python 3 with all needed libraries. Sources : https://github.com/hamdyaea/Islam_99_names_of_Allah Developer - Author : Hamdy Abou El Anein -
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data-science-ipython-notebooks
Data science Python notebooks: Deep learning
Data Science IPython Notebooks is a broad, curated set of Jupyter notebooks covering Python, data wrangling, visualization, machine learning, deep learning, and big data tools. It aims to be a practical map of the ecosystem, showing hands-on examples with libraries such as NumPy, pandas, matplotlib, scikit-learn, and others. Many notebooks introduce concepts step by step, then apply them to real datasets so readers can see techniques in action. Advanced sections touch on neural networks and... -
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Easy-TensorFlow
Simple and comprehensive tutorials in TensorFlow
The goal of this repository is to provide comprehensive tutorials for TensorFlow while maintaining the simplicity of the code. Each tutorial includes a detailed explanation (written in .ipynb) format, as well as the source code (in .py format). There is a necessity to address the motivations for this project. TensorFlow is one of the deep learning frameworks available with the largest community. This repository is dedicated to suggesting a simple path to learn TensorFlow. In addition to the... -
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World Register of Nations
Display information about every countries in the world
World Register of Nations A software coded in Python 3 who display information about every countries in the world Windows : 1) Please install ImageMagick you will find ImageMagick-7.0.8-37-Q16-x64-dll with in this folder. When you install it it's important to let it add ImageMagick to your Windows Path. 2) Run World_Register_GUI.exe Other operating systems : Run it from the source : https://github.com/hamdyaea/World-Register-of-Nations Developer - Author Hamdy... -
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PostalCodesPL
Database with Polish postal codes / Baza danych kodów pocztowych PL
SQLite database with Polish postal codes and their addresses. Project contains 3 small programs with example how the database can be used. Baza danych SQLite z polskimi kodami pocztowymi oraz odpowiadające im adresy. W projekcie znajdują się 3 proste programy, pokazujące przykładowe użycie bazy danych. -
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InfoGAN
Code for reproducing key results in the paper
The InfoGAN repository contains the original implementation used to reproduce the results in the paper “InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets”. InfoGAN is a variant of the GAN (Generative Adversarial Network) architecture that aims to learn disentangled and interpretable latent representations by maximizing the mutual information between a subset of the latent codes and the generated outputs. That extra incentive encourages the... -
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BossSensor
Hide screen when boss is approaching
...When the system detects that the trained face appears in the camera view, the program automatically triggers actions such as hiding the user’s screen or switching to a safe display. The software relies on libraries such as OpenCV, TensorFlow, and Python-based machine learning tools to perform face detection and classification. Training the system requires a dataset of labeled images representing the boss and other people so that the model can learn to differentiate between them. -
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Scikit-plot
An intuitive library to add plotting functionality to scikit-learn
Single line functions for detailed visualizations. Scikit-plot is the result of an unartistic data scientist's dreadful realization that visualization is one of the most crucial components in the data science process, not just a mere afterthought. Gaining insights is simply a lot easier when you're looking at a colored heatmap of a confusion matrix complete with class labels rather than a single-line dump of numbers enclosed in brackets. Besides, if you ever need to present your results to... -
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PySptools
Hyperspectral algorithms for Python
A lightweight hyperspectral imaging library that provides developers with spectral algorithms for the Python programming language. New for v0.14.x: a scikit-learn bridge (alpha and partial). The functions and classes are organized by topics: * abundance maps: FCLS, NNLS, UCLS * classification: AbundanceClassification, NormXCorr, KMeans SAM, SID, SVC * detection: ACE, CEM, GLRT, MatchedFilter, OSP * distance: chebychev, NormXCorr, SAM, SID * endmembers extraction: ATGP, FIPPI, NFINDR,... -
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CIF2Cell
Generating cells for electronic structure calculations from CIF files
CIF2Cell is a tool to generate the geometrical setup for various electronic structure codes from a CIF (Crystallographic Information Framework) file. The program currently supports output for a number of popular electronic structure programs, including ABINIT, ASE, CASTEP, CP2K, CPMD, CRYSTAL09, Elk, EMTO, Exciting, Fleur, FHI-aims, Hutsepot, MOPAC, Quantum Espresso, RSPt, Siesta, SPR-KKR, VASP. Also exports some related formats like .coo, .cfg and .xyz-files. The program has been published... -
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Siamese and triplet learning
Siamese and triplet networks with online triplet mining in PyTorch
Siamese and triplet learning is a PyTorch implementation of Siamese and triplet neural network architectures designed for learning embedding representations in machine learning tasks. These types of networks learn to map images into a compact feature space where the distance between vectors reflects the similarity between inputs. Such embeddings are commonly used in applications like face recognition, image similarity search, and few-shot learning. The repository demonstrates how to train... -
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Python Cookbook
Python Cookbook, 3rd edition translation
Translators have always insisted on using Python 3 because it represents the future of Python. Although backward compatibility is its flaw, this situation will change sooner or later, and the future of Python 3 needs everyone's help and support. At present, most of the tutorial books on the market and online manuals are basically 2.x series, and there are few books based on 3.x series. "Python Cookbook" 3rd Edition, which is completely based on Python 3, is a very well written book. This is... -
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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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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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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. You... -
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This is an implementation of post-process phonon analyzer, which calculates crystal phonon properties from input information calculated by external codes, e.g., first-principles calculation code.
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!!! PTEROS DEVELOPMENT MOVED TO GITHUB !!! New project page: https://github.com/yesint/pteros New documentation page: https://yesint.github.io/pteros/ Pteros is the C++ library for custom molecular modeling and simulations codes designed for researchers, not for C++ gurus. Provides facilities for PDB, XTC and TRR files IO, powerful selections, geometry transformations, RMSD fitting and alignment, etc.
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xpd-ebike
Infineon e-bike controller setup tool
XPD (stands for "eXtended Parameter Designer") is an alternative to "KeyWin e-Bike Lab Parameter Designer" software used to program the so-called "Infineon" e-bike controllers. * It provides some additional features missing in the original program, and is generally easier to use. * It is opensource so you can learn how it works and add unique features to it or customize to suit your own needs. * It is cross-platform: works on Linux, Windows and Android. -
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mBlock
Base on scratch offline v2.0 by MIT
mBlock is a visual programming platform based on Scratch 3.0 that helps students learn programming concepts through drag-and-drop blocks, Python, and IoT/AI modules. Developed by Makeblock, it supports programming robots and Arduino boards with an intuitive interface. Designed for education, it bridges the gap between beginner-friendly environments and real-world coding with Python, AI, and robotics tools. -
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Boilr
boilerplate template manager that generates files or directories
Boilr is here to help you create projects from boilerplate templates. Are you doing the same steps over and over again every time you start a new programming project? Boilr is a boilerplate template manager that generates files or directories from template repositories. No dependencies (NodeJS, Python Interpreter etc.) Boilr is a single statically linked binary. Grab the one that fits your architecture, and you're all set to save time by using templates! Full Power of Golang Templates.... -
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node2vec
Learn continuous vector embeddings for nodes in a graph using biased R
The node2vec project provides an implementation of the node2vec algorithm, a scalable feature learning method for networks. The algorithm is designed to learn continuous vector representations of nodes in a graph by simulating biased random walks and applying skip-gram models from natural language processing. These embeddings capture community structure as well as structural equivalence, enabling machine learning on graphs for tasks such as classification, clustering, and link prediction....