Search Results for "python (scikit-learn)" - Page 13
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Showing 391 open source projects for "python (scikit-learn)"
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Functional, Data Science Intro To Python
[tutorial]A functional, Data Science focused introduction to Python
The first section is an intentionally brief, functional, data science-centric introduction to Python. The assumption is a someone with zero experience in programming can follow this tutorial and learn Python with the smallest amount of information possible. The sections after that, involve varying levels of difficulty and cover topics as diverse as Machine Learning, Linear Optimization, build systems, command line tools, recommendation engines, Sentiment Analysis and Cloud Computing. -
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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, PPI * material count: HfcVd, HySime * noise: Savitzky Golay, MNF, whiten * sigproc: bilateral * sklearn: HyperEstimatorCrossVal, HyperSVC and others * spectro: convex hull quotient, features extraction (tetracorder style), USGS06 lib interface * util: load_ENVI_file, load_ENVI_spec_lib, corr, cov and others The library do an extensive use of the numpy numeric library and can achieve good speed. ... -
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Learn Python the Hard Way
Concise study notes derived from “Learn Python the Hard Way”
This repository contains concise study notes derived from “Learn Python the Hard Way,” organized to reinforce core Python concepts through small, targeted examples. It emphasizes hands-on practice—short scripts, exercises, and explanations that help cement syntax, data structures, functions, and modules. The notes call out common gotchas, idioms, and style preferences so learners form good habits early. -
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Awesome Math
This is the Curriculum for "How to Learn Mathematics Fast"
This repository is a curated roadmap for learning the core mathematics used in computer science, machine learning, and data science without getting lost in unnecessary detours. It organizes topics like algebra, calculus, linear algebra, probability, and statistics into a pragmatic sequence that favors intuition and problem-solving over purely formal proofs. The materials emphasize short, high-leverage resources—video lectures, concise notes, and hands-on exercises—that help you build... -
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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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AnyWave is a multi-platform software designed for neurologists and researchers who want to visualise and apply signal processing on electrophysiological signals. AnyWave can handle EEG, SEEG, MEG and more. MATLAB/Python/C++ plugins can be added. See this wiki section to learn how to build AnyWave on Linux : http://meg.univ-amu.fr/wiki/AnyWave:BuildSDK
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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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PyTP
Easy, lazy, crazy.
Latest version: 0.21 Release date: 26.06.2017 -------------------------------------------------------- PyTP is an easy-to-learn Python framework. -
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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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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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zerOCode Beta version allows you to create programs without writing a line of code using the instruction buttons. -Use zerOCode to learn programming and how to use it -Download python 3.x to run the files.py -Teach your child to think with programming -Save your projects with code structures, in the future you can convert your code to other programming languages through the structure on our platform Let us know what you think about zerOCode Beta: -write here a Review -write a Feedback on http://www.mipelabs.xyz -contact us on Instagram Direct https://www.instagram.com/mipelabs/
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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
...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. Golang has powerful templating constructs which are very easy to learn and powerful. Dead-Simple Template Creation. Creating boilerplate templates is very easy, check out the license template to see a simple, but a very useful template for adding licenses to new projects with a single command. -
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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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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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Python with Minecraft (Windows)
Minecraft tools.zip
This is the setup folder for Learn to Program with Minecraft for Windows machines. -
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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. -
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Machine Learning framework in Python
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BioC
We describe a simple XML format to share text documents and annotation
A minimalist approach to share text documents and data annotations. Allows a large number of different annotations to be represented. Project files contain: - simple code to hold/read/write data and perform sample processing. - BioC-formatted corpora - BioC tools that work with BioC corpora BioC goals - simplicity - interoperability - broad use - reuse There should be little investment required to learn to use a format or a software module to process that format. We are... -
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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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Python with Minecraft (Mac)
MinecraftToolsMac.zip
This is the setup folder for Learn to Program with Minecraft for Macs. -
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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...