Search Results for "fitting"
Sort By:
Showing 28 open source projects for "fitting"
View related business solutions-
Paessler - Monitor Your Whole Network in MinutesWaiting weeks for a monitoring rollout isn't an option when infrastructure doesn't stop running. PRTG's auto-discovery scans your network and suggests from over 200 pre-configured sensor types, so you're watching servers, applications and devices within minutes, not after a multi-week deployment. Enterprise-strength monitoring, without the enterprise complexity. Start your free trial today.
-
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
-
1
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. -
2
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. -
3
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. -
4
Self Host Blocks
Modular server management based on NixOS modules
SHB's (Self Host Blocks) is yet another server management tool whose goal is to provide better building blocks for self-hosting. Indeed, SHB provides opinionated building blocks fitting together to self-host any service you'd want. Some common services are provided out of the box. SHB's goal is to make these building blocks plug-and-play. To achieve this, SHB pioneers contracts that allow you, the final user, to be more in control of which pieces go where. The promise here is to let you choose, for example, any reverse proxy you want or any database you want, without requiring work from maintainers of the services you want to self-host. ... -
Veeam Data Platform v13.1Try Veeam Data Platform today. Experience the unified platform that's secure by design, portable by default, and proven to recover clean, fast, and anywhere.
-
5
PyMC3
Probabilistic programming in Python
PyMC3 allows you to write down models using an intuitive syntax to describe a data generating process. Fit your model using gradient-based MCMC algorithms like NUTS, using ADVI for fast approximate inference — including minibatch-ADVI for scaling to large datasets, or using Gaussian processes to build Bayesian nonparametric models. PyMC3 includes a comprehensive set of pre-defined statistical distributions that can be used as model building blocks. Sometimes an unknown parameter or variable... -
6
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. ... -
7
LMath library
Math library for Free Pascal and Lazarus.
...LMath provides routines and demo programs for numerical analysis, including mathematical functions, probabilities, matrices, optimization, linear and nonlinear equations, integration, Fast Fourier Transform, random numbers, curve fitting, statistics and graphics. It is organized s set of lazarus packages which makes it easily extensible and helps to include only really needed features in your project. -
8
Optimizer_sovkov
Constructing and optimizing general mathematical and physical models
We present the package Optimizer, aimed at constructing and optimizing general mathematical models of phenomena of versatile nature. It is written in the Matlab algorithmic language and is executed in the Matlab environment with partial functionality in Octave. The convenient visual interface and the detailed manuals are provided. The main benefit of the package is its capability to construct models of any level of complexity in a block-by-block manner. Elementary model blocks can be... -
9
Twinify
Privacy-preserving generation of a synthetic twin to a data set
...Depending on the nature of your data, twinify implements either the NAPSU-MQ approach described by Räisä et al. or finds an approximate parameter posterior for any probabilistic model you formulated using differentially private variational inference (DPVI). For the latter, twinify also offers automatic modeling for easy building of models fitting the data. If you have existing experience with NumPyro you can also implement your own model directly. Often data that would be very useful for the scientific community is subject to privacy regulations and concerns and cannot be shared. Differentially private data sharing allows generating of synthetic data that is statistically similar to the original data. -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
-
10
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... -
11
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. ... -
12
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... -
13
abu
Abu quantitative trading system (stocks, options, futures, bitcoin)
...The above system combines hundreds of seed quantitative models, such as financial time series loss model, deep pattern quality assessment model, long and short pattern combination evaluation model, long pattern stop-loss strategy model, short pattern covering strategy model, big data K-line pattern Historical portfolio fitting model, trading position mentality model, dopamine quantification model, inertial residual resistance support model, long-short swap revenge probability model, strong and weak confrontation model, trend angle change rate model, etc. -
14
TSA_CRAFT
Automatic command line tool for TSA data analysis
...TSA-CRAFT was developed by integrating PERL script and Gnuplot. PERL scripts manage the entire workflow and data processing procedures of TSA data analysis. On the other hand, Gnuplot takes over the curve fitting and result presentation works. All analysed results are coded in an html file that can be easily displayed by a web browser. -
15
HUGE
Simple user-authentication solution, embedded into a small framework
Just a simple user authentication solution inside a super-simple framework skeleton that works out-of-the-box (and comes with an auto-installer), using the future-proof official bcrypt password hashing/salting implementation of PHP 5.5+, plus some nice features that will speed up the time from idea to first usable prototype application dramatically. Nothing more. This project has its focus on hardcore simplicity. Everything is as simple as possible, made for smaller projects, typical agency... -
16
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... -
17
GORSK
Idiomatic Golang Restful Starter Kit
There are many ways to write a (RESTful) backend in Go. Most of the available tutorials are way too simple, with all the presented content fitting into a single file (or at most two-three). More complex examples are quite rare, and even most of them miss lots of things for the sake of reducing complexity. That’s one of the reasons I wrote Gorsk - to have a fully functional example of a RESTful backend (in Golang) utilizing best practices, idiomatic code, and minimal dependencies. ... -
18
Masonry
A cascading grid layout plugin
Masonry is a JavaScript grid layout library. It works by placing elements in optimal position based on available vertical space, sort of like a mason fitting stones in a wall. You’ve probably seen it in use all over the Internet. All sizing and styling of items is handled by your own CSS. tem sizes can be set with percentages for responsive layouts. With the masonry layout mode, set percentage-width columnWidth with element sizing. Set percentPosition: true so item positions are likewise set with percentages to reduce adjustment transitions on window resize. ... -
19
TARQUIN
MRS/NMR analysis software
Analysis software for MRS/NMR data. Allows processing and fitting to be performed in a fully automatic workflow. -
20
clmtrackr
Javascript library for precise tracking of facial features
clmtrackr is a javascript library for fitting facial models to faces in videos or images. It currently is an implementation of constrained local models fitted by regularized landmark mean-shift, as described in Jason M. Saragih's paper. clmtrackr tracks a face and outputs the coordinate positions of the face model as an array. The library provides some generic face models that were trained on the MUCT database and some additional self-annotated images. -
21
PALMA-leafmov
Command-line leaf movement analysis tool for Arabidopsis thaliana
...PALMA consists of two components: PALMA1 extracts leaf and cotyledon tip positions from time-lapse photography studies and parses them into .csv-files which are read by PALMA2. PALMA2 performs Fast-Fourier transformation and non-linear least squares fitting to determine the periods, amplitudes and phases of rhythmic leaf movements. -
22
MDA
Molecular Dynamics Analyzer (MDA)
...It does not require additional experimental effort for the user and imaging can directly be started once interesting regions in the sample have been identified. MDA is written in MATLAB and comes with a graphical user interface. The particle fitting routine is provided by an external library written in C. The results can be exported into the Matlab Workspace or the trackID, frameID and xyz coordinates are saved into files. -
23
pure python polyfit
python2/3: compute polyfit (1D, 2D, N-D) without thirdparty libraries
python2/3: compute polyfit (1D, 2D, N-D) without any thirdparty library like numpy, scipy etc. also can be used for least squares solution computation and for A=QR matrix decomposition. Tested with python 2.7 and 3.4 Consider donating to this project: https://sourceforge.net/p/purepythonpolyfit/donation For a Sample use, refer to the WIKI -
24
AlgART Java Libraries
Open source library for processing arrays and matrices
AlgART Java libraries for processing arrays and matrices are open-source product, distributed under MIT license. So, anyone can use them for free without any restrictions. Main features: 63-bit addressing of array elements (64-bit long int indexes), memory model concept (allowing storing data in different schemes from RAM to mapped disk files), wide usage of lazy evaluations, built-in multithreading optimization for multi-core processors, wide set of image processing algorithms over... -
25
libfgen
Library for optimization using a genetic algorithm or particle swarms
libfgen is a library that implements an efficient and customizable genetic algorithm (GA). It also provides particle swarm optimization (PSO) functionality and an interface for real-valued function minimization or model fitting. It is written in C, but can also be compiled with a C++ compiler. Both Linux and Windows are supported.
