Search Results for "s-parameters" - Page 16

The Toolkit for Advanced Discriminative Modeling (TADM) is a C++ implementation for estimating the parameters of discriminative models, such as maximum entropy models. It uses the PETSc and TAO toolkits to provide high performance and scalability.

CPU Scheduler Evaluation (CPUSE) Patches to Linux and supporting software tools for controlling scheduling parameters and analysing and/or displaying scheduling statistics.

Logout users of a specified period of idle time. Idleout terminates connections considered to be idle based on a variety of parameters.

A 3D data visualization tool, specializing in the display of robotically collected point, range, and volumetric data. Provides a very flexible framework for different file formats and visualization parameters.

KernelDigger provides an easy GUI for interacting with /proc/sys dir. Allows to read and write kernel parameters and change their valid values via "Settings" dialog. Also it provides to write many parameters at once. Requirments: Python 2.3, PyGTK 2.4

Pyrrdp is a python tool that allows to visualize basic network parameters such as RTT average and loss percentage.

Automatically call VirtualDubMod and Lame to compress your mpeg2 DV to Xvid video with mp3 audio. Help you save different xvid compress parameters.

MANIKK is a toolkit for generating numerical interaction parameters -- describing the interaction between metallic atoms in a coherent lattice -- and for performing numerical Monte Carlo-simulations of physical properties of alloy systems.

Easy-to-learn interactive 2d plot program. Can overlay images, xy-data, and mathematical functions. Function parameters can be tuned with sliders; functions can also be automatically fitted to data. Written in Python, cross-platform, but currently broken

ArrayOligoSelector (AOS) systematically designs gene specific long oligo probes for entire genomes. The program optimizes the oligo selections for several parameters, including uniqueness in the genome, internal repeats, self-binding, and GC content.

POV-Broom is a Python/wxPython front-end application that is used to generate and render variations of POV-Ray designs. This will enable the POV-Ray artist to sweep variables to look at how the design changes with different parameters.

As of 2012, the source code is hosted in GitHub https://github.com/tessonec/PySPG PySPG is both, a set of python modules and a program that allows the user to run a program systematically changing the parameters that them receive. Originally conceived to generate parameters for running simulations in computational physics.

GnuPinch is a pinch analysis and supertargeting tool. GnuPinch can calculate heat exchanger networks (HEN) with minimum energy requeriments and minimum cost. It also can calculate other parameters of the pinch analysis of a chemical process.

Pymprovisator is a program for jazz musicians. Jazz music is based on improvisation and this program is intended to help musicians to improvise. The user sets the song parameters and the program generates a MIDI file with an adequate accompaniment.

This is a python library that can be used to build Linux kernel, which includes selecting kernel config file, setting kernel config parameters, compiling kernel, modules and even appending a new item for the compiled kernel to bootloader config file (cur

NVIDIA-Nemotron-3-Super-120B-A12B-FP8 is a large-scale open language model developed by NVIDIA as part of the Nemotron-3 family of generative AI systems designed for advanced reasoning, conversational interaction, and agent-based workflows. The model contains approximately 120 billion parameters, but employs a Mixture-of-Experts architecture that activates only a smaller subset of parameters during inference, improving computational efficiency while maintaining high capability. Its architecture combines Transformer attention layers with Mamba state-space components to balance long-context reasoning, memory efficiency, and high-quality language generation. ...

NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 is a mid-sized open large language model created by NVIDIA to provide strong reasoning and conversational capabilities while maintaining efficient deployment requirements. The model contains roughly 30 billion parameters and is designed to balance performance and computational efficiency, making it suitable for developers building AI applications that cannot run extremely large models. It is trained from scratch and built using a hybrid architecture that integrates Transformer attention layers with Mamba-style sequence modeling components inside a Mixture-of-Experts framework. ...

...These models are part of the broader Mistral Small family, which is designed to deliver strong performance across a wide range of everyday AI tasks while maintaining relatively low latency and efficient deployment requirements. The collection reflects an evolution toward hybrid mixture-of-experts architectures that dynamically activate subsets of parameters during inference, allowing large models to remain computationally efficient. Mistral Small 4 models are built to handle tasks such as conversational AI, software development assistance, and reasoning-heavy problem solving, making them versatile tools for both developers and enterprise applications.

GPT-OSS-20B is OpenAI’s smaller, open-weight language model optimized for low-latency, agentic tasks, and local deployment. With 21B total parameters and 3.6B active parameters (MoE), it fits within 16GB of memory thanks to native MXFP4 quantization. Designed for high-performance reasoning, it supports Harmony response format, function calling, web browsing, and code execution. Like its larger sibling (gpt-oss-120b), it offers adjustable reasoning depth and full chain-of-thought visibility for better interpretability. ...

Gnomni is a frontend to configure the omnibook <http://omnibook.sf.net> kernel module parameters, making the configuration easier to the end user.

A small program in python developed to simulate poker bankroll growth over time depending on money and risk management strategies used. No GUI, user must edit parameters in source file. Outputs to .csv format.

trimAl can consider several parameters, alone or in multiple combinations, in order to select the most-reliable positions in the alignment. These include the proportion of sequences with a gap, the level of residue similarity and, if several alignments for the same set of sequences are provided, the consistency level of columns among alignments. Moreover, trimAl allows to manually select a set of columns and sequences to be removed from the alignment.

Mellum-4b-base is JetBrains’ first open-source large language model designed and optimized for code-related tasks. Built with 4 billion parameters and a LLaMA-style architecture, it was trained on over 4.2 trillion tokens across multiple programming languages, including datasets such as The Stack, StarCoder, and CommitPack. With a context window of 8,192 tokens, it excels at code completion, fill-in-the-middle tasks, and intelligent code suggestions for professional developer tools and IDEs. ...