Search Results for "mixture" - Page 3
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Showing 146 open source projects for "mixture"
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Armadillo
fast C++ library for linear algebra & scientific computing
* Fast C++ library for linear algebra (matrix maths) and scientific computing * Easy to use functions and syntax, deliberately similar to Matlab / Octave * Uses template meta-programming techniques to increase efficiency * Provides user-friendly wrappers for OpenBLAS, Intel MKL, LAPACK, ATLAS, ARPACK, SuperLU and FFTW libraries * Useful for machine learning, pattern recognition, signal processing, bioinformatics, statistics, finance, etc. * Downloads:... -
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Mixtral offloading
Run Mixtral-8x7B models in Colab or consumer desktops
Mixtral-Offloading is an open-source project designed to enable efficient inference of large Mixture-of-Experts language models such as Mixtral-8x7B on hardware with limited GPU memory. The project implements techniques that allow model components to be dynamically moved between CPU memory and GPU memory during inference, significantly reducing the amount of GPU VRAM required to run the model. This approach takes advantage of the sparse activation properties of mixture-of-experts architectures, where only a subset of expert networks are used for each token during generation. ... -
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DeepSeek MoE
Towards Ultimate Expert Specialization in Mixture-of-Experts Language
DeepSeek-MoE (“DeepSeek MoE”) is the DeepSeek open implementation of a Mixture-of-Experts (MoE) model architecture meant to increase parameter efficiency by activating only a subset of “expert” submodules per input. The repository introduces fine-grained expert segmentation and shared expert isolation to improve specialization while controlling compute cost. For example, their MoE variant with 16.4B parameters claims comparable or better performance to standard dense models like DeepSeek 7B or LLaMA2 7B using about 40% of the total compute. ... -
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Onda Sfasata
An authentic Italian learning app.
...GitHub repository: https://github.com/Northstrix/onda-sfasata Check it out at: https://onda-sfasata.netlify.app/ This app is fully localized into English, Hebrew, and two dialects of German — Hochdeutsch and a mixture of Zurich and Basel dialects (approximately 64%–36%), labeled as “Schwiizerdütsch” I picked the words for this app not based on predefined categories, usage frequency, or the fluency level to which the word might correspond, but on which words could be cleanly cut from the audio tracks. As a result, the word set turned out to be a bit odd, yet unique. ... -
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Drash
A microframework for Deno's HTTP server with zero 3rd-party dependency
...It has zero third-party dependencies outside of Deno Standard Modules. It is designed to help you build performant, scalable projects quickly. Drash is a unique framework. It is not another Express clone. It is more of a mixture of different frameworks with a different take on how "controllers" are written. -
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LLaMA-MoE
Building Mixture-of-Experts from LLaMA with Continual Pre-training
LLaMA-MoE is an open-source project that builds mixture-of-experts language models from LLaMA through expert partitioning and continual pre-training. The repository is centered on making MoE research more accessible by offering smaller and more affordable models with only about 3.0 to 3.5 billion activated parameters, which helps reduce deployment and experimentation costs. Its architecture works by splitting LLaMA feed-forward networks into sparse experts and adding gating mechanisms so that only selected experts are activated during inference and training. ... -
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QuantResearch
Quantitative analysis, strategies and backtests
...These include implementations of factor models, statistical arbitrage strategies, portfolio optimization methods, and reinforcement learning approaches to trading. The repository also explores financial modeling topics such as vector autoregression, Gaussian mixture models, and option pricing techniques. Many notebooks demonstrate backtesting pipelines that allow users to evaluate trading strategies using historical market data. The project integrates machine learning methods with traditional quantitative finance models, illustrating how statistical techniques can be applied to asset management and trading. -
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MLPACK is a C++ machine learning library with emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features to provide maximum performance and flexibility for expert users. * More info + downloads: https://mlpack.org * Git repo: https://github.com/mlpack/mlpack
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Wheefun Options Parsing Library
Portable command line options parsing
This library provides portable command line parsing which can be used across several platforms to provide a consistent command line interface. WFOPT uses the model-view-controller pattern: options are specified via an option set, which are interpreted via a parser object and whose behavior can be modified using controller objects. This library is object-oriented and interaction occurs with it at a high level. Programmers can easily write their own parsers if none of the included parsers fit... -
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Twinify
Privacy-preserving generation of a synthetic twin to a data set
twinify is a software package for the privacy-preserving generation of a synthetic twin to a given sensitive tabular data set. On a high level, twinify follows the differentially private data-sharing process introduced by Jälkö et al.. 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).... -
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Scripting Language Bindings
A port of WFOPT to the several scripting languages
This project contains bindings for various scripting languages to the Wheefun Options Parsing Library. It is meant to provide parity with the C implementation so .NET languages can take advantage of WFOPT. For more information, please see the main page. -
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WFOPT .NET Bindings
A port of WFOPT to the .NET Runtime
This project contains bindings for the .NET Runtime to the Wheefun Options Parsing Library. It is meant to provide parity with the C implementation so .NET languages can take advantage of WFOPT. For more information, please see the main page. -
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L5RCM
GM tool for the RPG game "Legend of the Five Rings" 4th edition
...It can be used to create PC and NPC and to manage characters during playtime. The Legend of the Five Rings RPG is a role playing game that takes place in Rokugan, a mixture of Asian medieval culture. You can find more on L5R RPG on its official site. -
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Java Bindings
Java bindings for the Wheefun Options Parsing Library
This project contains bindings for the Java Programming Language to the Wheefun Options Parsing Library. It is meant to provide parity with the C implementation so JVM languages can take advantage of WFOPT. Fore more information, please see the main page. -
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SVoice (Speech Voice Separation)
We provide a PyTorch implementation of the paper Voice Separation
...The model employs gated neural networks with recurrent processing blocks that disentangle voices over multiple computational steps, while maintaining speaker consistency across output channels. Separate models are trained for different speaker counts, and the largest-capacity model dynamically determines the actual number of speakers in a mixture. The repository includes all necessary scripts for training, dataset preparation, distributed training, evaluation, and audio separation. -
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vbTRACK_2D
Bayesian analysis of 2D(x,y) time series particle tracks using Matlab.
Matlab program analyzes 2D (xy) time-series data (tracks) by variaional Bayes, hidden Markov, Gaussian mixture pattern recognition pattern recognition methods. It finds the number of states, the position of each state, and assigns each time-point to its most probable specific state. -
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SMTracker (v1.5, v2.0)
A tool for analysis and visualization of single-molecule tracking data
SMTracker v2.0 is a MATLAB-based graphical user interface (GUI) for automatically quantifying, visualising and managing SMT data via five interactive panels, allowing the user to interactively explore tracking data from several conditions, movies and cells on a track-by- track basis. Diffusion parameters and motion behaviour is analysed by several methods: a) by a Gaussian mixture model ,or b) by using the cumulative probability distribution of square displacements, c) Mean-Squared displacement fits, d) by Jump Distance analysis. It also includes exploratory tools to visualise single trajectories or dynamic heat maps. -
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Clou! Open Source Project
The Clue! / Der Clou!
...in Austria) is a 1994 remake of the 1986 game They Stole a Million. It would form a two game series, with a sequel following in 2001, under the guise of The Sting! or Der Clou 2!. The Clue! is a mixture of many video game genres. It can be described as role-playing adventure game with tactical/strategy elements and puzzles in the form of burglaries. The gameplay is composed of two different modes - most of the time, the player is travelling around the city of London and talking with people using point-and-click interface like in classical adventure games, while more strategy-like top-down perspective is used for the actual planning of the heists. [...] ... -
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evil.sh
Subtle and not-so-subtle shell tweaks
evil.sh is a shell script collection of “subtle and not-so-subtle shell tweaks that will slowly drive people insane,” as the README states. It is a playful (some might say mischievous) set of shell customizations, aliases, overrides or environment changes intended for fun (or prank) usage—e.g., customizing the shell prompt, redirecting commands, changing behaviors of common commands in subtle ways. The repository warns that it is purely for entertainment and that the author is not... -
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Polluted gases Estimator
Create, estimate and analyses gas pollutants and the possible costs
The SPS machines are not designed to filter the particulates to be of acceptable size, level or concentration, unlike Wet Scrubbers, Electrostatic Precipitators, Diesel Particulate Filter DPF etc. The reality is that finest and ultra-finest Particulates tends to behave like gas rather than a gas-solids mixture or simply can be transported by vapour. Is the reason why many filtering technologies are ineffective. However, SPS technology is post-combustion system or last stage of production, which results in packaged CO2 or any other gases, without worrying about gas dilution and intrusion processes which more complicated and costly also are not well investigated, that is a setback for many CO2 technology. ... -
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GENSENG
GENSENG is a software detecting CNVs from NGS data
GENSENG is a software detecting CNVs(Copy Number Variations) from NGS(Next Generation Sequencing) data. We have uploaded the data preparation codes. Please download it from Files folder. -
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Accord.NET Framework
Scientific computing, machine learning and computer vision for .NET
The Accord.NET Framework provides machine learning, mathematics, statistics, computer vision, computer audition, and several scientific computing related methods and techniques to .NET. The project is compatible with the .NET Framework. NET Standard, .NET Core, and Mono. -
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EBprotV2
Bayesian Analysis of labeling-based Quantitative Proteomics Data
EBprotV2 is an extension to the existing EBprot (version 1) which adopts a more flexible non-parametric mixture model. It serves as an differential expression analysis tool which takes into account the direct peptide to protein hierarchy which differs from the usual analysis which occurs at the protein-summary level. The tool is implemented in C++ which minimize computational time and also, incorporates an additional module which help users to generate comparison ratios between groups with multiple samples. -
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EBprot
Bayesian Analysis of labeling-based Quantitative Proteomics Data
EBprot implements a hierarchical mixture model directly representing the peptide-protein map. The model fit is used to score differential expression of proteins in a (signed) probability scale based on reproducible quantification over multiple peptides. The package takes as input a data matrix with each row containing the data for one peptide, including protein and peptide identifier and peptide ratio(s), and returns the protein-level score table with PPscore, BFDR, Posterior Odds score, and flag for each comparison. -
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Pathoscope
Predicts strains of genomes in Nextgen seq alignment file (sam/bl8)
This page is here for archival purpose. Please visit github for the latest version of the software: https://github.com/pathoscope PathoScope takes next-generation sequencing reads from a mixture sample and predicts which genomes are present. We use a Bayesian framework combined with an initial reference-based alignment to assign reads to the correct genome of origin. Pathoscope 2.0: Wiki: http://sourceforge.net/p/pathoscope/wiki/Home/ Tutorial: http://sourceforge.net/projects/pathoscope/files/pathoscope2.0_v0.02_tutorial.pdf Clinical Pathoscope version: http://sourceforge.net/p/pathoscope/wiki/clinical_pathoscope/ PathoQC download: http://sourceforge.net/projects/pathoscope/files/pathoqc_v0.1.4.tar.gz/download Publications: http://www.microbiomejournal.com/content/2/1/33 http://www.biomedcentral.com/1471-2105/15/262 http://genome.cshlp.org/content/23/10/1721 Support: PS: Please send an email to mani2012 at bu dot edu if you have any questions.
