Search Results for "mean" - Page 2
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Showing 54 open source projects for "mean"
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Kale
Kubeflow’s superfood for Data Scientists
KALE (Kubeflow Automated pipeLines Engine) is a project that aims at simplifying the Data Science experience of deploying Kubeflow Pipelines workflows. Kubeflow is a great platform for orchestrating complex workflows on top Kubernetes and Kubeflow Pipeline provides the mean to create reusable components that can be executed as part of workflows. The self-service nature of Kubeflow make it extremely appealing for Data Science use, at it provides an easy access to advanced distributed jobs orchestration, re-usability of components, Jupyter Notebooks, rich UIs and more. Still, developing and maintaining Kubeflow workflows can be hard for data scientists, who may not be experts in working orchestration platforms and related SDKs. ... -
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HiFi-GAN
Generative Adversarial Networks for Efficient and High Fidelity Speech
...The model targets a sweet spot between sample quality and generation speed, outperforming many previous GAN vocoders while being far faster than typical autoregressive models. In experiments on LJSpeech, HiFi-GAN was shown to achieve mean opinion scores close to human recordings while synthesizing 22.05 kHz audio up to ~168× faster than real time on an NVIDIA V100 GPU. A smaller configuration trades a bit of quality for even higher speed and can run more than 13× faster than real time on CPU, making it suitable for deployment scenarios without powerful GPUs. -
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Frontend Regression Validator (FRED)
Visual regression tool used to compare baseline and updated instances
...FRED is responsible for automatic visual regression testing, with the purpose of ensuring that functionality is not broken by comparing a current(baseline) and an updated version of a website. The visual analysis computes the Normalized Mean Squared error and the Structural Similarity Index on the screenshots of the baseline and updated sites, while the visual AI looks at layout and content changes independently by applying image segmentation Machine Learning techniques to recognize high-level text and image visual structures. This reduces the impact of dynamic content yielding false positives. ... -
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Forecasting Best Practices
Time Series Forecasting Best Practices & Examples
Time series forecasting is one of the most important topics in data science. Almost every business needs to predict the future in order to make better decisions and allocate resources more effectively. This repository provides examples and best practice guidelines for building forecasting solutions. The goal of this repository is to build a comprehensive set of tools and examples that leverage recent advances in forecasting algorithms to build solutions and operationalize them. Rather than... -
Go from Data Warehouse to Data and AI platform with BigQueryBigQuery is more than a data warehouse—it's an autonomous data-to-AI platform. Use familiar SQL to train ML models, run time-series forecasts, and generate AI-powered insights with native Gemini integration. Built-in agents handle data engineering and data science workflows automatically. Get $300 in free credit, query 1 TB, and store 10 GB free monthly.
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YouTube-8M
Starter code for working with the YouTube-8M dataset
...The code demonstrates how to process frame-level features, train logistic and deep learning models, evaluate them using metrics like global Average Precision (gAP) and mean Average Precision (mAP), and export trained models for MediaPipe inference. -
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Colonization Mod Collection
Several mods for Civilization IV: Colonization
...The purpose of joining multiple mods into a collection is to make them share the source code. This allows joined work without the time consuming and bug prone process of moving modpacks between source codes. This mean the source code is made up of multiple features, which can be tweaked by XML and as a result it is possible to make total conversion mods without knowing how to program. What this is NOT is a bunch of nearly identical mods. The design goal is to make each mod so unique that the average player should not notice that the source code is shared. -
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Vaex
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python
...Vaex is a high-performance Python library for lazy Out-of-Core data frames (similar to Pandas), to visualize and explore big tabular datasets. It calculates statistics such as mean, sum, count, standard deviation etc, on an N-dimensional grid for more than a billion (10^9) samples/rows per second. Visualization is done using histograms, density plots and 3d volume rendering, allowing interactive exploration of big data. Vaex uses memory mapping, zero memory copy policy and lazy computations for best performance (no memory wasted). ... -
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Quantum Honeycomp
Interactive program to calculate electronic properties in graphene
...The code uses the tight binding approximation and it is able to stude in a 0D, 1D and 2D geometries, orbital and magnetic fields, intrinsic and extrinsic spin-orbit coupling, sublattice imbalance, and interactions at the mean field level. The most recent version can be found in https://github.com/joselado/quantum-honeycomp Example videos https://www.youtube.com/watch?v=8gO1yRmwgAs https://www.youtube.com/watch?v=FQlkqAW7Nhs https://www.youtube.com/watch?v=R7Kt3_DHTtM https://www.youtube.com/watch?v=tQKG_h0FaTM -
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Five video classification methods
Code that accompanies my blog post outlining five video classification
...So a 41-frame video and a 500-frame video will both be reduced to 40 frames, with the 500-frame video essentially being fast-forwarded. We won’t do much preprocessing. A common preprocessing step for video classification is subtracting the mean, but we’ll keep the frames pretty raw from start to finish. -
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python-port-scanner
A fast and multithreaded port scanner with GUI that is developed using
A fast and multi-threaded port scanner built in python. It scans the hosts port and return the open ports within a mean time. The GUI is built with the python's tkinter module. -
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Pyclamp
A Python package used to extract and analyse electrophysiological data
...Presently, Pyclamp is designed to perform very specific forms of analysis on evoked synaptic responses: Data analysis (under development) : This is a highly user-interactive en-vironment that can be used to discriminate synaptic events, obtain various measures of their kinetics and size, and output the results. Quantal analysis : This part of the package performs simple variance-mean analysis and Bayesian quantal analysis to estimate the quantal sizea dn number of release sites among other measures. -
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gtkhst is a collection of GLib2 objects to compute statistics (mean, variance, correlations) in 1 and 2 dimensions and a set of Gtk2 widgets to display 1D and 2D histograms as well as trace plots showing the evolution with time of the monitored quantity
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superboucle
Loop based software with jack transport, record and midi controllable
...Sample will always start and stop on a beat or group of beats. You can adjust duration of sample (loop period) in beat and offset in beat. But you can also adjust sample offset in raw frame count negative or positive. Which mean sample can start before next beat (useful for reversed sample). You can record loop of any size, adjust BPM, reverse, normalize samples, ... Typical usage : * You need to control jack transport with external midi device and want a button to jump to a specified location in song. * You have some instruments patterns but you have no idea of song structure... -
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Mezmory helps you to mezmorize... I mean memorize... long passages, whether scripture, poems, speeches, songs, or anything you care to remember. You just type the text, and if a word is correct it stays. Input any text file you like.
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graphene-like-ribbons
Calculate electronic properties of graphene-like nanoribbons
User friendly interface for calculating electronic properties in graphene-like ribbons. The programs uses the tight binding approximation and mean field Hubbard model to predict electronic properties of graphene-like nanoribbons. See Discussion to ask questions or details Update: New versions of this program will be known as quantum-honeycomp -
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...Instead of recording GUI mechanics directly, it asks the user for descriptive names and hence builds up a "domain language" along with a "UI map file" that translates it into the current GUI layout. The point is to reduce coupling, allow very expressive tests, and ensure that GUI changes mean changing the UI map file but not all the tests. Instead of an "assertion" mechanism, it auto-generates a log of the GUI appearance and changes to it. The point is then to use that as a baseline for text-based testing, using e.g. TextTest. It also includes support for instrumenting code so that "waits" can be recorded, making it far easier for a tester to record correctly synchronized tests without having to explicitly plan for this.
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PyRadMon
Automated reporting of Geiger Muller counter readings to RadMon.org
This project includes several Python and bash scripts designed to connect Geiger Muller counters to report their results to RadMon.org. Soon the script will also feature local logging, graphing and alerting. Just because the Cold War is "over" does not mean that there is no more threat of a radiological attack. In fact, the U.S. Homeland Security Council lists the "Detonation of a 10 Megaton Improvised Nuclear Device" as "Scenario #1" among the top 15 threats to American security. Or, if you do not believe that a nuclear bomb is likely, what about all the Chernobyl-style Soviet-era nuclear power stations still in service? ... -
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math toolkit
A C++ and Python library for finance, statistics and linear algebra.
A lightweight C++ and Python library for finance, statistics and linear algebra. Finance features include compound rate present/future value, annuity, various present/future value coefficients ... Statistics features include mean, median, variance, standard deviation, covariance, correlation, linear regression, probabilities and random variates of various distributions ... Linear algebra features include matrix arithmetic, inverse, determinant, rank, linear system solution, lu/qr decomposition, svd, eigen values/vectors ... And some auxiliary features like random number generators, equation solution, numerical integration, permutation/combination and gcd/lcm etc. ... -
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im2ascii
Image to ASCII converter that takes character shape into account
im2ascii is a small python script that converts images to ascii-art. Unlike common ascii-art generators, it does not only use each character's mean brightness, but matches the full character shape. Pro: Better ascii-art quality (see screenshots for examples) Con: Matching is very resource intensive Dependencies: Python 2.7, PIL, numpy, scipy -
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Bliz's Quadratic Sequence Solver
Quadratic sequence solver and explination
This application will be mostly used by grade 12 (matric) students who do mathematics. The application solves and explains all you need to know to complete your own quadratic sequence. -
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... * tblred: compute ("reduce") aggregations (e.g., sum, average) over groups defined by key columns. * tbldesc: Summarize columns in file (e.g., proportion of character/numeric values, min/mean/median/max, missing values, correlation with a target column). * tbljoin: Relational join without the need of pre-sorting and column matching. * ... See HostedApps/MediaWiki for examples.
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imbatcher is an image batcher and rfl Registax Frame List creator that use an Mean Square Difference algorithm to separate images from the same set automatically .
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An append only database manager in the style of dbm. It has both a C and a Python interface and is ACID compliant. Internally it uses an immutable B+ Tree. (Being append only doesn't mean that you can't replace records or delete keys).
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snlanalytic is a small Python script that takes a stem-and-leaf plot as input and returns basic statistics (sum, mean, median, mode) to the user.
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Python program for fitting rate constants to primarily kinetic data as 1st or 2nd order kinetics or autocatalysis. It also allows specific noise cancelling, data smoothing by fourrier transform, box averaging and flowing mean. For Python 2.6 or earlier.
