Search Results for "fitting"
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44 projects for "fitting" with 1 filter applied:
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jlens
Companion code for the global workspace interpretability paper
...The transformed vectors are decoded through the model’s own unembedding into ranked vocabulary predictions. The package can fit new lenses, load saved ones, apply them to prompts, and merge results from parallel fitting jobs. Interactive layer-by-position views reveal how token rankings evolve across the network and compare them with the model’s final output. It supports open-weight Hugging Face decoder models, with Qwen used in the included examples. The repository also provides synthetic evaluation data and an end-to-end notebook, but it is not maintained. -
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GLM.jl
Generalized linear models in Julia
...@formula) and matrix-based interfaces, allowing both high-level convenience and low-level control. Under the hood, GLM.jl separates the linear predictor and response objects, allowing flexible combinations of link functions, variance structures, and fitting methods. -
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image-to-ascii
A Node.js module that converts images to ASCII art
...The converter maps pixel brightness to a configurable sequence of ASCII characters. It can preserve the original colors through ANSI foreground or background styles or generate plain monochrome output. Options control width, height, screen fitting, aspect ratio, transparency, reversed brightness, and custom background colors. Developers can receive a final string or work with the underlying pixel matrix through custom processing functions. A companion command-line package and webcam example provide additional ways to use the conversion engine. -
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TabFM
scikit-learn compatible tabular foundation model
TabFM is a tabular foundation model from Google Research for zero-shot classification and regression on structured datasets. It is designed to work with mixed numerical and categorical columns without requiring a custom training run for every new table. Instead of fitting model weights to the user’s dataset, TabFM uses in-context learning by reading training examples and test rows together at inference time. The library provides scikit-learn-compatible classifier and regressor interfaces, which makes it familiar for data scientists already using Python ML workflows. It supports both JAX and PyTorch backends and can automatically download pretrained TabFM v1.0.0 weights. ... -
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LuxTTS
A high-quality rapid TTS voice cloning model
...Intended for developers, hobbyists, and creators, the repository includes installation instructions, usage examples, and Python APIs that make it feasible to integrate the model in local workflows, web demos, or production systems. Its design emphasizes efficiency and practicality, fitting within modest GPU memory footprints. -
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Kilo
A text editor in less than 1000 LOC with syntax highlight and search
Kilo is a minimalistic terminal text editor written in C, famous for fitting its full implementation into fewer than 1,000 lines of code in a single source file. It was created by Salvatore Sanfilippo (antirez, also known for Redis) as an exercise in writing a small, self-contained editor that others can study and extend. Despite its tiny size, Kilo supports core editor features like opening and saving files, incremental search, and basic syntax highlighting. -
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PySINDy
A package for the sparse identification of nonlinear dynamical systems
...The framework focuses on identifying governing equations that describe the behavior of complex physical systems by selecting sparse combinations of candidate functions. Instead of fitting a purely predictive machine learning model, PySINDy attempts to recover interpretable differential equations that explain how a system evolves over time. This approach is particularly valuable in scientific fields such as physics, engineering, and biology where researchers seek both predictive accuracy and theoretical insight. The library provides tools for constructing libraries of candidate functions, performing sparse regression, and validating discovered models against observed data. ... -
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clj-http
An idiomatic clojure http client wrapping the apache client
clj-http is a popular Clojure library for making HTTP requests, built as a wrapper around Apache’s HttpClient. It uses Ring-style request/response maps and middleware, fitting seamlessly into idiomatic Clojure applications. clj-http allows coercing the body of the request either before it is sent (input coercion), or after it’s received (output coercion) from the server. By default, JSON coercion is only applied when the response’s status is considered “unexceptional”. If the :unexceptional-status option is provided, then its value is a function that specifies what status codes are unexceptional. ... -
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...Zgoubi simulates beam dynamics and polarization in a variety of accelerators (storage ring, synchrotron, cyclotron, betatron, microtron, FFAG, multi-pass ERL, etc) and optical systems (beam lines, magnetic and electrostatic optical components, time-of-flight and mass spectrometers, etc). The code includes built-in fitting procedures with a wide variety of constraints; stochastic SR energy loss; the tracking of synchrotron radiation (SR) Poynting vector; space charge models; various Monte Carlo procedures, etc. Contact: francoisgmeot@gmail.com Documentation (History of accelerators that zgoubi deals with, theory, tutorials): https://link.springer.com/book/10.1007/978-3-031-59979-8 https://link.springer.com/book/10.1007/978-3-031-16715-7, Chap. 14.
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Motofit co-refines Neutron and X-ray reflectometry data, using the Abeles matrix / Parratt recursion and least squares fitting (Genetic algorithm or Levenberg Marquardt). It works in the IGOR Pro environment (TM Wavemetrics).
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Statistical Rethinking 2022
Statistical Rethinking course winter 2022
This repository hosts the 2022 version of the Statistical Rethinking course. It contains course materials such as R scripts, notebooks, and worked examples aligned with McElreath’s textbook. The code emphasizes Bayesian data analysis using R, the rethinking package, and Stan models. It includes lecture code files, example datasets, and structured exercises that parallel the topics covered in the lectures (probability, regression, model comparison, Bayesian updating). The repo functions as a... -
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Blueprints
A framework that is meant to make your life easier
...It comes with two built-in layouts that are highly flexible and easy to configure at the call site. They support properties like items per row and items per column; this will calculate the layout attributes needed for fitting the number of views that you want to appear on the screen. The framework also provides a good base for your custom implementations. By extending the core blueprint layout, you get built-in support for animations and layout attribute caching. The bundled default animator supports animations that look very similar to what you get from a vanilla table view. ... -
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QtiPlot is a user-friendly, platform independent data analysis and visualization application similar to the non-free Windows program Origin.
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Deep Learning with PyTorch Chinese
Translates the official PyTorch book "Deep learning with PyTorch"
...It introduces deep learning and PyTorch progressively for readers who do not already have machine-learning experience. Topics begin with PyTorch fundamentals and tensors before moving into representing real data, learning mechanisms, and neural-network fitting. The repository includes runnable code associated with the translated chapters. Documentation is maintained in Markdown and published through Docsify for convenient browser reading. It is intended as a compact introduction for readers with basic Python and foundational mathematics who want practical exposure to PyTorch. -
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VStar
Multi-platform Variable Star Visualisation and Analysis
VStar is a multi-platform, easy-to-use variable star observation visualisation and analysis tool. Data can be read from a file or the AAVSO database, light curves and phase plots created, period analysis performed, and filters applied. Plugins can be developed, e.g. to make additional observation sources available. See also: 1. http://www.aavso.org/vstar-overview 2. http://www.aavso.org/forums/about-aavso/vstar 3. http://dbenn.wordpress.com/category/astronomy-science/vstar 4.... -
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Scikit-learn Tutorial
An introductory tutorial for scikit-learn
...It provides a collection of notebooks that walk attendees from basic machine-learning concepts into practical modeling using the scikit-learn library. The tutorial covers data preparation, model fitting, evaluation, and common algorithms such as classification, regression, clustering, and dimensionality reduction. It is designed for people who already have a working Python environment and some familiarity with NumPy, SciPy, and Matplotlib. The repository specifies a clear list of dependencies so that participants can reproduce the environment used in the tutorial, and many downstream forks keep the content updated for newer versions of scikit-learn. ... -
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TF Quant Finance
High-performance TensorFlow library for quantitative finance
TF Quant Finance is a high-performance library of quantitative finance components built on TensorFlow, aimed at research and production workloads. It implements pricing engines, risk measures, stochastic models, optimizers, and random number generators that are differentiable and vectorized for accelerators. Users can value options and fixed-income instruments, simulate paths, fit curves, and calibrate models while leveraging TensorFlow’s jit compilation and automatic differentiation. The... -
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Kalibr Allan
IMU Allan standard deviation charts
kalibr_allan is a utility repository that provides scripts and tools for calculating IMU noise parameters for use in Kalibr and other IMU filtering systems. While manufacturers typically provide “white noise” values in IMU datasheets, the bias instability and random walk parameters must be determined experimentally. This project enables users to compute those values using Allan variance analysis from recorded IMU data. The workflow involves recording IMU measurements with the device... -
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TARQUIN
MRS/NMR analysis software
Analysis software for MRS/NMR data. Allows processing and fitting to be performed in a fully automatic workflow. -
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lmfit - least squares fitting
Levenberg-Marquardt least squares minimization amd curve fitting.
A self-contained C library for Levenberg-Marquardt least-squares minimization and curve fitting. To minimize arbitrary user-provided functions, or to fit user-provided data. No need to provide derivatives. With application examples. -
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SloppyCell is a complete environment for building models of biochemical systems, fitting them to data, and extracting falsifiable predictions via a parameter ensemble. SBML l2v1 compatible.
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...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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SWRC Fit is a scientific tool for hydrologist. It fits several soil hydraulic models to measured soil water retention data by nonlinear fitting. It is written in numerical calculation language GNU Octave. Web interface is also available.
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EDM Calibration Baseline Fitting
EDMFit is an adjustment tool to estimate EDM calibration parameters.
An EDM calibration baseline is used to derive specific instrument errors of the electronic distance measurement (EDM) unit of a total station. EDMFit is a simple adjustment tool to estimate the EDM calibration parameters (addition constant and/or scale parameter). The adjustment process is according to ISO 17123-4. The parameters are checked for significance, to avoid an overestimation. Based on two classical hypothesis testing, EDMFit provides a reliable outlier detection. For...
