Search Results for "learn python source codes" - Page 14
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Showing 424 open source projects for "learn python source codes"
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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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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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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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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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OpenTeacher is an opensource application that helps you learn a foreign language vocabulary. Just enter some words in your native and foreign language, and OpenTeacher tests you.
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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.... -
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Python Machine Learning book
The book code repository and info resource
What you can expect are 400 pages rich in useful material just about everything you need to know to get started with machine learning. From theory to the actual code that you can directly put into action! This is not yet just another "this is how scikit-learn works" book. I aim to explain all the underlying concepts, tell you everything you need to know in terms of best practices and caveats, and we will put those concepts into action mainly using NumPy, scikit-learn, and Theano. This is not... -
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Pyo Synth
A GUI to help with pyo synthesizer scripts manipulation.
Pyo Synth is an open source application that makes the manipulation of pyo scripts easier by letting you control it with a midi keyboard. The interface allows you to setup every control on your keyboard and link them to parameters in your script during runtime. It is also possible to save your progress directly in the pyo script. See manual for more explanation on features. -
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Spark Python Notebooks
Apache Spark & Python (pySpark) tutorials for Big Data Analysis
Spark Python Notebooks is a curated collection of example Jupyter notebooks designed to help developers and data engineers learn Apache Spark using Python in an interactive environment. Rather than only providing static code files, this project uses notebooks to teach practical data processing workflows, exposing users to real Spark programming patterns like working with RDDs, DataFrames, and distributed computations. These notebooks often demonstrate how to transform, analyze, and visualize... -
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pyLuminous
python modules for modelling some optical systems.
This project is a collection of python modules for modelling various optical systems. It presently consists of pyFresnel and pyQW. pyFresnel models optical properties of dielectric layers and includes a thin film model (unlike the many other codes out there this can also handle uniaxial layers as long as the optical axis is aligned with the stack growth direction). pyQW models very simple (n-doped) quantum well structures and their intersubband transitions. -
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GNU Hyperbole: The Everyday Info Manager
Create hyperlinks just by dragging, find contacts instantly, ...
GNU Hyperbole (pronounced Ga-new Hi-per-bo-lee), or just Hyperbole, is an amazing programmable hypertextual information management system implemented as a GNU Emacs package. This is the first public release in 2016. Hyperbole has been greatly expanded and modernized for use with the latest Emacs 25 releases; it supports GNU Emacs 24.4 or above. It contains an extensive set of improvements that can greatly boost your day-to-day productivity with Emacs and your ability to manage information... -
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Perfect: Server-Side Swift
The Perfect core toolset and framework for Swift Developers
...With Perfect, you can write an entire project in one language: Swift - instead of having multiple languages to contend with, like JavaScript (Node.js), Java, Ruby or Python. Use Apple’s open source Swift programming language throughout your entire development process. Whether you’re building iOS and OS X apps, or backend support for web apps, wearable technologies, and games, you don’t need to learn another programming language when you use Perfect on the server-side. -
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Machine Learning framework in Python
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qwpr keylayout and layout translator
A keyboard layout that's worth learning.
Qwpr (pronounced "qwipper", named for the first four keys) is a keyboard layout that's easy to learn (only 11 keys move from their qwerty positions), easy to type (32% better by the Carpalx metric), practical (programmer's punctuation, arrow keys, and all major accented characters easily accessed without moving your hands off the three main rows), and very complete (over 1000 unicode characters and combinations available). The project also includes the tools I used to translate this...
