Github Top Repositories
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💡 MakazhanAlpamys/Soup just hit the trending charts — here's why it matters.
🔗 https://github.com/MakazhanAlpamys/Soup
📝 Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU.
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Soup is a game-changer for fine-tuning Large Language Models (LLMs). It simplifies the process into a single command, eliminating the need for SSH, complex configurations, and tedious infrastructure management. With Soup, you can fine-tune an 8B model on a 4 GB laptop GPU, thanks to its innovative layer streaming feature.
The key features of Soup include:
-
-
-
-
To get started with Soup, you can:
Soup is perfect for anyone looking to simplify their LLM fine-tuning workflow, from researchers to developers. Its ability to stream layers and quantify models makes it an ideal solution for those working with limited GPU resources.
In short, Soup is a powerful tool that makes fine-tuning LLMs a breeze, and its innovative features make it a must-try for anyone in the field. Train your LLMs with ease, and focus on what really matters – creating value for your users!
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🔗 https://github.com/MakazhanAlpamys/Soup
📝 Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU.
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Soup is a game-changer for fine-tuning Large Language Models (LLMs). It simplifies the process into a single command, eliminating the need for SSH, complex configurations, and tedious infrastructure management. With Soup, you can fine-tune an 8B model on a 4 GB laptop GPU, thanks to its innovative layer streaming feature.
The key features of Soup include:
-
Zero SSH: No more SSHing into broken GPU boxes.-
One config: A simple YAML file for all your needs.-
Auto everything: Batch size, GPU detection, and quantization are all handled automatically.-
Works locally: Train on your own GPU with QLoRA, no cloud required.To get started with Soup, you can:
pip install "soup-cli[train]"
soup init --template chat
soup train
Soup is perfect for anyone looking to simplify their LLM fine-tuning workflow, from researchers to developers. Its ability to stream layers and quantify models makes it an ideal solution for those working with limited GPU resources.
In short, Soup is a powerful tool that makes fine-tuning LLMs a breeze, and its innovative features make it a must-try for anyone in the field. Train your LLMs with ease, and focus on what really matters – creating value for your users!
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🧠 Channel: https://xn--r1a.website/GithubRe
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Github Top Repositories
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💡 github/spec-kit just hit the trending charts — here's why it matters.
🔗 https://github.com/github/spec-kit
📝 💫 Toolkit to help you get started with Spec-Driven Development
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Spec Kit is an open source toolkit that enables spec-driven development for building high-quality software with any AI coding agent. It provides a ready-to-use, spec-driven process that's endlessly extensible, community-driven, and suitable for entire organizations.
The key features of Spec Kit include:
- Spec-Driven Development: Flips the script on traditional software development by making specifications executable.
- Specify CLI: A command-line interface for managing spec-driven development workflows.
- AI Coding Agent Integrations: Supports over 30 AI coding agents, including CLI tools and IDE-based assistants.
- Extensions and Presets: Allows for customization through extensions and presets, as well as project-local overrides.
To get started with Spec Kit, you can:
Then, initialize a project with
Spec Kit is designed for developers, organizations, and communities looking to streamline their software development process with AI coding agents.
The technical highlights of Spec Kit include its ability to generate executable specifications, create technical implementation plans, and break down tasks for implementation.
In a nutshell, Spec Kit revolutionizes software development by making specifications the king, and code its servant - build what you specify, not the other way around.
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🔗 https://github.com/github/spec-kit
📝 💫 Toolkit to help you get started with Spec-Driven Development
──────────────────────────────
Spec Kit is an open source toolkit that enables spec-driven development for building high-quality software with any AI coding agent. It provides a ready-to-use, spec-driven process that's endlessly extensible, community-driven, and suitable for entire organizations.
The key features of Spec Kit include:
- Spec-Driven Development: Flips the script on traditional software development by making specifications executable.
- Specify CLI: A command-line interface for managing spec-driven development workflows.
- AI Coding Agent Integrations: Supports over 30 AI coding agents, including CLI tools and IDE-based assistants.
- Extensions and Presets: Allows for customization through extensions and presets, as well as project-local overrides.
To get started with Spec Kit, you can:
uv tool install specify-cli --from git+https://github.com/github/spec-kit.git@vX.Y.ZThen, initialize a project with
specify init my-project --integration copilot and establish project principles using /speckit.constitution.Spec Kit is designed for developers, organizations, and communities looking to streamline their software development process with AI coding agents.
The technical highlights of Spec Kit include its ability to generate executable specifications, create technical implementation plans, and break down tasks for implementation.
In a nutshell, Spec Kit revolutionizes software development by making specifications the king, and code its servant - build what you specify, not the other way around.
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🧠 Channel: https://xn--r1a.website/GithubRe
Github Top Repositories
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📌 Spotted on GitHub Trending: megadose/holehe — let's break it down.
🔗 https://github.com/megadose/holehe
📝 holehe allows you to check if the mail is used on different sites like twitter, instagram and will retrieve information on sites with the forgotten password function.
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Holehe is an OSINT tool that efficiently finds registered accounts from emails. It checks if an email is attached to an account on over 120 sites like Twitter, Instagram, and Imgur. The tool retrieves information using the forgotten password function without alerting the target email.
It runs on
For each module, data is returned in a standard dictionary format with details like
The tool has a Maltego Transform and is built for educational purposes only under the
Get started with
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🧠 Channel: https://xn--r1a.website/GithubRe
🔗 https://github.com/megadose/holehe
📝 holehe allows you to check if the mail is used on different sites like twitter, instagram and will retrieve information on sites with the forgotten password function.
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Holehe is an OSINT tool that efficiently finds registered accounts from emails. It checks if an email is attached to an account on over 120 sites like Twitter, Instagram, and Imgur. The tool retrieves information using the forgotten password function without alerting the target email.
It runs on
Python 3 and can be installed via PyPI, GitHub, or Docker. Holehe can be run from the CLI or embedded within existing Python applications. For each module, data is returned in a standard dictionary format with details like
rateLimit, exists, emailrecovery, and more. It's ideal for security researchers and developers.The tool has a Maltego Transform and is built for educational purposes only under the
GNU General Public License v3.0.Get started with
Holehe today and uncover hidden accounts - one email at a time!──────────────────────────────
🧠 Channel: https://xn--r1a.website/GithubRe
🔍 Deep-diving into altic-dev/FluidVoice — fresh off the trending list.
🔗 https://github.com/altic-dev/FluidVoice
📝 Fastest and only macOS Dictation app with on-device STT and custom trained AI enhancement model. A local Wispr Flow alternative. ⭐ helps a ton :) Windows & iOS waitlist open. Linux soon.
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FluidVoice is an open-source, on-device voice-to-text dictation app for macOS, with AI enhancement. It features
You can
Key highlights of FluidVoice include its fast and accurate dictation capabilities, optional AI enhancement via cloud providers or local Fluid Intelligence, and adaptive theming to match the system's light or dark theme. The app is suitable for developers, writers, and anyone looking for a reliable and private dictation experience.
In a nutshell, FluidVoice is the ultimate voice-to-text solution for macOS, offering unparalleled speed, accuracy, and privacy - give it a try and experience the future of dictation!
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🔗 https://github.com/altic-dev/FluidVoice
📝 Fastest and only macOS Dictation app with on-device STT and custom trained AI enhancement model. A local Wispr Flow alternative. ⭐ helps a ton :) Windows & iOS waitlist open. Linux soon.
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FluidVoice is an open-source, on-device voice-to-text dictation app for macOS, with AI enhancement. It features
multiple speech models, including Nemotron Speech 3.5, Parakeet Flash, and Whisper, allowing users to choose the model that best fits their language and latency needs. Fluid Intelligence, a local AI runtime, powers advanced dictation enhancement, ensuring all data stays on the user's Mac.You can
install FluidVoice using Homebrew: brew install --cask fluidvoice. The app offers various features, including Command Mode for controlling the Mac by voice, Write Mode for writing or rewriting text in any app, and Live Preview for real-time transcription.
Key highlights of FluidVoice include its fast and accurate dictation capabilities, optional AI enhancement via cloud providers or local Fluid Intelligence, and adaptive theming to match the system's light or dark theme. The app is suitable for developers, writers, and anyone looking for a reliable and private dictation experience.
In a nutshell, FluidVoice is the ultimate voice-to-text solution for macOS, offering unparalleled speed, accuracy, and privacy - give it a try and experience the future of dictation!
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🧠 Channel: https://xn--r1a.website/GithubRe
📌 Spotted on GitHub Trending: ToolJet/ToolJet — let's break it down.
🔗 https://github.com/ToolJet/ToolJet
📝 ToolJet is the open-source foundation of ToolJet AI - the enterprise app generation platform for building internal tools, dashboard, business applications, workflows and AI agents 🚀
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Introduction to ToolJet: ToolJet is an open-source, AI-native platform for building and deploying internal tools, workflows, and AI agents. The community edition offers a visual builder, drag-and-drop UI, and integrations with databases, APIs, SaaS apps, and object storage.
Key Features:
- Visual App Builder with 60+ responsive components
- Built-in no-code database
- Multi-page Apps & Multiplayer Editing
- 80+ Data Sources
- Flexible Deployment options
- Collaboration Tools
- Extensibility through plugins and connectors
- Code execution for JavaScript and Python
- Secure by Design with AES-256-GCM encryption
Get started with ToolJet Cloud or self-host using Docker, Kubernetes, AWS, GCP, Azure, and more. Try the Docker command:
Audience: ToolJet is designed for developers, data scientists, and business users looking to build custom internal tools and workflows.
One-liner takeaway: ToolJet empowers users to build and deploy custom internal tools and AI agents with ease, streamlining workflows and boosting productivity.
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🧠 Channel: https://xn--r1a.website/GithubRe
🔗 https://github.com/ToolJet/ToolJet
📝 ToolJet is the open-source foundation of ToolJet AI - the enterprise app generation platform for building internal tools, dashboard, business applications, workflows and AI agents 🚀
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Introduction to ToolJet: ToolJet is an open-source, AI-native platform for building and deploying internal tools, workflows, and AI agents. The community edition offers a visual builder, drag-and-drop UI, and integrations with databases, APIs, SaaS apps, and object storage.
Key Features:
- Visual App Builder with 60+ responsive components
- Built-in no-code database
- Multi-page Apps & Multiplayer Editing
- 80+ Data Sources
- Flexible Deployment options
- Collaboration Tools
- Extensibility through plugins and connectors
- Code execution for JavaScript and Python
- Secure by Design with AES-256-GCM encryption
Usage: Get started with ToolJet Cloud or self-host using Docker, Kubernetes, AWS, GCP, Azure, and more. Try the Docker command:
docker run \
--name tooljet \
--restart unless-stopped \
-p 80:80 \
--platform linux/amd64 \
-v tooljet_data:/var/lib/postgresql/13/main \
tooljet/try:ee-lts-latest
Audience: ToolJet is designed for developers, data scientists, and business users looking to build custom internal tools and workflows.
One-liner takeaway: ToolJet empowers users to build and deploy custom internal tools and AI agents with ease, streamlining workflows and boosting productivity.
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🧠 Channel: https://xn--r1a.website/GithubRe
Github Top Repositories
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🚀 Meet HKUDS/CLI-Anything: a gem from today's GitHub trending list.
🔗 https://github.com/HKUDS/CLI-Anything
📝 "CLI-Anything: Making ALL Software Agent-Native" -- CLI-Hub:https://clianything.cc/
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CLI-Anything is an innovative project that bridges the gap between AI agents and the world's software by making any software agent-ready. The project's primary goal is to create a community-driven hub where users can browse, install, and manage various Command-Line Interfaces (CLIs) for different software applications.
Key Features:
-
-
-
Technical Highlights:
- Built using Python and Click.
- Uses Pytest for testing and coverage.
- Supports multiple output formats, including JSON and human-readable text.
The project is suitable for developers, researchers, and power users who want to automate tasks, integrate different software applications, or create custom workflows. With CLI-Anything, users can harness the power of AI agents to interact with a wide range of software applications, from productivity tools to creative software.
In a nutshell, CLI-Anything is revolutionizing the way we interact with software by providing a unified, community-driven platform for creating and sharing CLIs - Empowering humans and agents to achieve more, one command line at a time!
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🧠 Channel: https://xn--r1a.website/GithubRe
🔗 https://github.com/HKUDS/CLI-Anything
📝 "CLI-Anything: Making ALL Software Agent-Native" -- CLI-Hub:https://clianything.cc/
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CLI-Anything is an innovative project that bridges the gap between AI agents and the world's software by making any software agent-ready. The project's primary goal is to create a community-driven hub where users can browse, install, and manage various Command-Line Interfaces (CLIs) for different software applications.
Key Features:
-
CLI-Hub: A centralized registry where users can discover, install, and manage CLIs for various software applications.-
One Command Line: A unified interface for interacting with different software applications.-
Community-Driven: Users can contribute to the project by creating and sharing their own CLIs.Technical Highlights:
- Built using Python and Click.
- Uses Pytest for testing and coverage.
- Supports multiple output formats, including JSON and human-readable text.
The project is suitable for developers, researchers, and power users who want to automate tasks, integrate different software applications, or create custom workflows. With CLI-Anything, users can harness the power of AI agents to interact with a wide range of software applications, from productivity tools to creative software.
In a nutshell, CLI-Anything is revolutionizing the way we interact with software by providing a unified, community-driven platform for creating and sharing CLIs - Empowering humans and agents to achieve more, one command line at a time!
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🧠 Channel: https://xn--r1a.website/GithubRe