Search Results for "s-parameters"
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Showing 2450 open source projects for "s-parameters"
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1
Parameters.jl
Types w/ default field values, keyword constructors, (un-)pack macros
This is a package I use to handle numerical-model parameters, thus the name. However, it should be useful otherwise too. -
2
DeepSeek R1
Open-source, high-performance AI model with advanced reasoning
...DeepSeek R1 offers unrestricted access for both commercial and academic use. The model employs a Mixture of Experts (MoE) architecture, comprising 671 billion total parameters with 37 billion active parameters per token, and supports a context length of up to 128,000 tokens. DeepSeek-R1's training regimen uniquely integrates large-scale reinforcement learning (RL) without relying on supervised fine-tuning, enabling the model to develop advanced reasoning capabilities. This approach has resulted in performance comparable to leading models like OpenAI's o1, while maintaining cost-efficiency. ... -
3
GLM-4.5
GLM-4.5: Open-source LLM for intelligent agents by Z.ai
GLM-4.5 is a cutting-edge open-source large language model designed by Z.ai for intelligent agent applications. The flagship GLM-4.5 model has 355 billion total parameters with 32 billion active parameters, while the compact GLM-4.5-Air version offers 106 billion total parameters and 12 billion active parameters. Both models unify reasoning, coding, and intelligent agent capabilities, providing two modes: a thinking mode for complex reasoning and tool usage, and a non-thinking mode for immediate responses. ... -
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Kimi K2
Kimi K2 is the large language model series developed by Moonshot AI
Kimi K2 is Moonshot AI’s advanced open-source large language model built on a scalable Mixture-of-Experts (MoE) architecture that combines a trillion total parameters with a subset of ~32 billion active parameters to deliver powerful and efficient performance on diverse tasks. It was trained on an enormous corpus of over 15.5 trillion tokens to push frontier capabilities in coding, reasoning, and general agentic tasks while addressing training stability through novel optimizer and architecture design strategies. ... -
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5
Blur
Add motion blur to videos
...It provides a streamlined interface for applying blur effects to specific areas, often using FFmpeg as the underlying processing engine. The tool enables automation of repetitive editing tasks such as anonymizing faces, text, or objects in video frames. It supports configurable parameters that control blur intensity, region selection, and processing duration. blur is designed to be lightweight and scriptable, making it suitable for integration into automated pipelines. It can process videos efficiently while maintaining output quality and format compatibility. Overall, it serves as a practical utility for privacy-focused video editing tasks. -
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Win11Debloat
A simple, easy to use PowerShell script to remove pre-installed apps
...In addition to removing apps, Win11Debloat provides options to customize system behavior, appearance, and taskbar settings. The script can be run through an easy interactive menu or with command-line parameters for automated setups. With its wide range of customization options, Win11Debloat is useful for both everyday users and system administrators who want a cleaner and more controlled Windows environment. -
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find-my-way
A crazy fast HTTP router
...You can disable this by setting the caseSensitive option to false: in that case, all paths will be matched as lowercase, but the route parameters or wildcards will maintain their original letter casing. -
8
Maigret
Collect a dossier on a person by username from thousands of sites
Maigret is an open-source OSINT tool designed to collect a dossier on a person by username from thousands of sites. It automates the process of checking for a user's presence across various platforms, aiding in digital investigations. -
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Functors.jl
Parameterise all the things
Functors.jl provides tools to express a powerful design pattern for dealing with large/ nested structures, as in machine learning and optimization. For large machine learning models, it can be cumbersome or inefficient to work with parameters as one big, flat vector, and structs help manage complexity; but it is also desirable to easily operate over all parameters at once, e.g. for changing precision or applying an optimizer update step. -
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10
XIU2/CloudflareSpeedTest
"Preferred IP" Test Cloudflare CDN latency and speed
...Although Cloudflare discloses all IP segments , it would be exhausting to find the one that suits you among so many IPs, so this software came into existence. After the speed measurement is completed, the fastest 10 IPs will be displayed by default. The default parameters are used for direct running. If you want the speed measurement results to be more comprehensive and meet your own requirements, you can customize the parameters. This project also supports other CDN / website IP delay speed measurement. -
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NVIDIA Profile Inspector
Modify game profiles inside the internal driver database
...The tool is particularly popular among enthusiasts who want to optimize performance, troubleshoot graphical issues, or enable experimental features such as custom DLSS configurations. It provides a detailed interface for browsing and editing driver parameters, making it possible to adjust settings that are otherwise inaccessible. -
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Copulas
A library to model multivariate data using copulas
...Compare real and synthetic data visually after building your model. Visualizations are available as 1D histograms, 2D scatterplots and 3D scatterplots. Access & manipulate learned parameters. With complete access to the internals of the model, set or tune parameters to your choosing. -
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Kimi-K3
Open Frontier Intelligence
Kimi K3 is an open-weight, native multimodal agentic model from Moonshot AI for advanced reasoning, coding, and knowledge work. It uses a 2.8-trillion-parameter mixture-of-experts architecture while activating 104 billion parameters per token. Its design combines Kimi Delta Attention, gated multihead latent attention, Attention Residuals, and Stable LatentMoE routing. The model can process text and images and supports a context window of more than one million tokens. It is built for long engineering sessions, large repository navigation, tool orchestration, research, visualization, and other extended tasks. ... -
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Microsoft Azure CLI
Azure command-line interface
A great cloud needs great tools; we're excited to introduce Azure CLI, our next-generation multi-platform command-line experience for Azure. Take a test run now from Azure Cloud Shell! We support tab completion for groups, commands, and some parameters. You can use the --query parameter and the JMESPath query syntax to customize your output. With the Azure CLI Tools Visual Studio Code extension, you can create .azcli files and use these features. IntelliSense for commands and their arguments. Snippets for commands, inserting required arguments automatically. Run the current command in the integrated terminal. ... -
15
RSSHub
Easy to use, and easy to extend RSS generator
...RSSHub delivers millions of contents aggregated from all kinds of sources, our vibrant open source community is ensuring the deliver of RSSHub's new routes, new features and bug fixes. In addition RSSHub supports many useful parameters, such as content filtering, text output, etc., can be common parameters for specific use documents. -
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MegaTTS 3
Official PyTorch Implementation
MegaTTS3 is an open-source text-to-speech (TTS) and voice-cloning system from ByteDance that aims to deliver high-quality, expressive speech synthesis, including zero-shot voice cloning of previously unseen speakers. Its backbone is a lightweight diffusion-transformer (on the order of ~0.45 B parameters), which enables efficient inference while still producing high-fidelity audio. Given a reference audio sample (and corresponding latent representation), MegaTTS3 can generate speech in the style and voice timbre of that speaker — useful for personalized TTS, voice-overs, dubbing, or multi-speaker applications. The system supports both Chinese and English (with code-switching), making it versatile across languages, and offers controls for accent strength, voice similarity, intelligibility vs. similarity tradeoffs, and other speech parameters to fine-tune output. -
17
LicensePlist
A license list generator of all your dependencies for iOS applications
LicensePlist is a command-line tool that automatically generates a Plist of all your dependencies, including files added manually(specified by YAML config file) or using Carthage or CocoaPods. All these licenses then show up in the Settings app. Excludes can be defined to exclude matching libraries from the final output. An exclude is a dictionary containing any combination of name, source, owner, or licenseType. If a library name is unsuitable for the output bundle, you can explicitly... -
18
Sacred
Sacred is a tool to help you configure, andorganize IDSIA experiments
...It is designed to do all the tedious overhead work that you need to do around your actual experiment. A very convenient way of the local variables in a function to define the parameters your experiment uses. You can access all parameters of your configuration from every function. They are automatically injected by name. You get a powerful command-line interface for each experiment that you can use to change parameters and run different variants. Observers that log all kinds of information about your experiment, its dependencies, the configuration you used, the machine it is run on, and of course the result. ... -
19
pq
Pure Go Postgres driver for database/sql
In most cases clients will use the database/sql package instead of using this package directly. Similarly to libpq, when establishing a connection using pq you are expected to supply a connection string containing zero or more parameters. A subset of the connection parameters supported by libpq are also supported by pq. Additionally, pq also lets you specify run-time parameters (such as search_path or work_mem) directly in the connection string. This is different from libpq, which does not allow run-time parameters in the connection string, instead requiring you to supply them in the options parameter. database/sql does not dictate any specific format for parameter markers in query strings, and pq uses the Postgres-native ordinal markers. ... -
20
video-shotcraft
AI video skill for Claude Code & Codex
...It guides an agent through visual direction, storyboarding, implementation, sound design, beat synchronization, and final quality review. The toolkit includes more than 100 shot recipe cards with timing, parameters, implementation notes, and common pitfalls. A searchable gallery provides 161 motion previews and corresponding Remotion examples with tuned easing and animation values. Its Ink Press template delivers a complete 1080p product promo with ten shots, transitions, title cards, camera moves, and cinematic sound effects. Reusable components support page capture, 2.5D movement, captions, flash cuts, digit rolls, and branded asset replacement. ... -
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FastAPI
FastAPI framework, high performance, easy to learn, fast to code
...If you are building a CLI app to be used in the terminal instead of a web API, check out Typer. Typer is FastAPI's little sibling. And it's intended to be the FastAPI of CLIs. In summary, you declare once the types of parameters, body, etc. as function parameters. You do that with standard modern Python types. You don't have to learn a new syntax, the methods or classes of a specific library, etc. -
22
Kimi Linear
An expressive, efficient attention architecture
...The architecture combines KDA and global Multi-head Latent Attention layers at a 3:1 ratio to preserve model quality while reducing memory demands. Released Base and Instruct checkpoints contain 48 billion total parameters, activate 3 billion parameters per token, and support contexts up to one million tokens. The models were trained on 5.7 trillion tokens and can reduce KV cache requirements by up to 75 percent. Kimi Linear supports inference through Hugging Face Transformers and deployment as an OpenAI-compatible API with vLLM. -
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Qtum
Qtum Core Wallet
Qtum is a decentralized blockchain project built on Bitcoin's UTXO model, with support for Ethereum Virtual Machine-based smart contracts, and secured by a proof of stake consensus model. It achieves this through the revolutionary Account Abstraction Layer which allows the EVM to communicate with Qtum's Bitcoin-like UTXO blockchain. Welcome to the Qtum Ignition Main Network. This is the main network where the tokens hold value and should be guarded very carefully. If you are testing the... -
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Go QueryString
go-querystring is Go library for encoding structs into URL query
go-querystring is a lightweight Go library developed by Google for encoding Go structs into URL query strings. It simplifies the process of constructing URLs with typed parameters, offering a clean, type-safe approach to building query strings programmatically. The library’s query package exposes a single Values() function that converts struct fields (tagged with url tags) into properly encoded query parameters. It is particularly useful for APIs or HTTP clients that represent query parameters as structs—such as in the go-github client library. ... -
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PEFT
State-of-the-art Parameter-Efficient Fine-Tuning
Parameter-Efficient Fine-Tuning (PEFT) methods enable efficient adaptation of pre-trained language models (PLMs) to various downstream applications without fine-tuning all the model's parameters. Fine-tuning large-scale PLMs is often prohibitively costly. In this regard, PEFT methods only fine-tune a small number of (extra) model parameters, thereby greatly decreasing the computational and storage costs. Recent State-of-the-Art PEFT techniques achieve performance comparable to that of full fine-tuning.
