#python #deepseek #demo #easy #embedding #flask #gpt #huggingface_transformers #llm #mcp #multimodal #openai #qwen #rag #sentence_transformers #ui #vllm #vlm
UltraRAG is a lightweight framework that makes building retrieval-augmented generation (RAG) systems simple and fast. It uses a low-code approach where you write just dozens of lines of YAML configuration instead of complex code to create sophisticated AI workflows with conditional logic and loops. The framework includes a visual development environment where you can drag-and-drop to build pipelines, adjust parameters in real-time, and instantly convert your logic into interactive chat applications. This means you can deploy powerful AI systems that ground answers in your own data—reducing hallucinations and improving accuracy—without needing extensive coding expertise or lengthy development cycles.
https://github.com/OpenBMB/UltraRAG
UltraRAG is a lightweight framework that makes building retrieval-augmented generation (RAG) systems simple and fast. It uses a low-code approach where you write just dozens of lines of YAML configuration instead of complex code to create sophisticated AI workflows with conditional logic and loops. The framework includes a visual development environment where you can drag-and-drop to build pipelines, adjust parameters in real-time, and instantly convert your logic into interactive chat applications. This means you can deploy powerful AI systems that ground answers in your own data—reducing hallucinations and improving accuracy—without needing extensive coding expertise or lengthy development cycles.
https://github.com/OpenBMB/UltraRAG
GitHub
GitHub - OpenBMB/UltraRAG: UltraRAG v3: A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines
UltraRAG v3: A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines - OpenBMB/UltraRAG
#python #amd #anime #compression_artifact_reduction #deep_learning #directx_12 #gui_application #intel #manga #noise_reduction #nvidia #onnx #onnxruntime #opencv #python #python3 #pytorch #super_resolution #video #video_processing #windows
QualityScaler is a free Windows AI app that upscales, enhances, and denoises your images and videos with a simple drag-and-drop GUI. It supports formats like JPG, PNG, MP4, MKV; works offline on any DirectX12 GPU (4GB+ VRAM, 8GB RAM); and offers features like multi-GPU use, resize, interpolation, and stop/resume. Download from itch.io, Steam, or GitHub. Benefit: Quickly turn low-quality photos/videos into sharp HD masterpieces privately on your PC, saving time and money vs. online tools.
https://github.com/Djdefrag/QualityScaler
QualityScaler is a free Windows AI app that upscales, enhances, and denoises your images and videos with a simple drag-and-drop GUI. It supports formats like JPG, PNG, MP4, MKV; works offline on any DirectX12 GPU (4GB+ VRAM, 8GB RAM); and offers features like multi-GPU use, resize, interpolation, and stop/resume. Download from itch.io, Steam, or GitHub. Benefit: Quickly turn low-quality photos/videos into sharp HD masterpieces privately on your PC, saving time and money vs. online tools.
https://github.com/Djdefrag/QualityScaler
GitHub
GitHub - Djdefrag/QualityScaler: QualityScaler - image/video AI upscaler app
QualityScaler - image/video AI upscaler app. Contribute to Djdefrag/QualityScaler development by creating an account on GitHub.
#python #agents #ai #ai_engineer #ai_engineering #copilot #data_science #data_scientist #generative_ai #gpt #machine_learning #ml_engineer #ml_engineering #openai
AI Data Science Team is a free Python library with AI agents that speed up your data work 10X by handling loading, cleaning, visualization, EDA, feature engineering, modeling, and SQL tasks. Its flagship AI Pipeline Studio app creates visual, reproducible pipelines you can run with Streamlit after easy install (Python 3.10+, OpenAI or Ollama). This saves you hours on repetitive jobs, boosts accuracy, and lets you focus on insights and business results.
https://github.com/business-science/ai-data-science-team
AI Data Science Team is a free Python library with AI agents that speed up your data work 10X by handling loading, cleaning, visualization, EDA, feature engineering, modeling, and SQL tasks. Its flagship AI Pipeline Studio app creates visual, reproducible pipelines you can run with Streamlit after easy install (Python 3.10+, OpenAI or Ollama). This saves you hours on repetitive jobs, boosts accuracy, and lets you focus on insights and business results.
https://github.com/business-science/ai-data-science-team
GitHub
GitHub - business-science/ai-data-science-team: An AI-powered data science team of agents to help you perform common data science…
An AI-powered data science team of agents to help you perform common data science tasks 10X faster. - business-science/ai-data-science-team
#python #agentic_ai #agents #ai #ai_agents #realtime #stt #tts #video_agents #video_ai #vision_ai #voice_ai
Vision Agents is an open-source Python framework by Stream to build real-time AI agents that watch video, listen to audio, and respond instantly with low latency under 30ms. It integrates YOLO, Roboflow, OpenAI, Gemini, and 25+ tools for apps like golf coaching, security cameras detecting theft, or phone assistants. Install easily with `uv add vision-agents`, use free Stream credits, and deploy on any video network. You benefit by quickly creating smart video AI for gaming, safety, or coaching without vendor lock-in, saving time and costs on custom builds.
https://github.com/GetStream/Vision-Agents
Vision Agents is an open-source Python framework by Stream to build real-time AI agents that watch video, listen to audio, and respond instantly with low latency under 30ms. It integrates YOLO, Roboflow, OpenAI, Gemini, and 25+ tools for apps like golf coaching, security cameras detecting theft, or phone assistants. Install easily with `uv add vision-agents`, use free Stream credits, and deploy on any video network. You benefit by quickly creating smart video AI for gaming, safety, or coaching without vendor lock-in, saving time and costs on custom builds.
https://github.com/GetStream/Vision-Agents
GitHub
GitHub - GetStream/Vision-Agents: Open Vision Agents by Stream. Build Vision Agents quickly with any model or video provider. Uses…
Open Vision Agents by Stream. Build Vision Agents quickly with any model or video provider. Uses Stream's edge network for ultra-low latency. - GetStream/Vision-Agents
#python
Kimi Code CLI is a terminal AI agent that reads/edits code, runs shell commands, searches web pages, and plans tasks autonomously. Switch to shell mode with Ctrl-X, integrate with IDEs like Zed/JetBrains via ACP, enhance Zsh, or add MCP tools. Install easily and log in with /login for Kimi Code benefits like fast 100 tokens/s speeds and high quotas. This saves you time on coding/development by automating complex workflows intelligently and securely.
https://github.com/MoonshotAI/kimi-cli
Kimi Code CLI is a terminal AI agent that reads/edits code, runs shell commands, searches web pages, and plans tasks autonomously. Switch to shell mode with Ctrl-X, integrate with IDEs like Zed/JetBrains via ACP, enhance Zsh, or add MCP tools. Install easily and log in with /login for Kimi Code benefits like fast 100 tokens/s speeds and high quotas. This saves you time on coding/development by automating complex workflows intelligently and securely.
https://github.com/MoonshotAI/kimi-cli
GitHub
GitHub - MoonshotAI/kimi-cli: Kimi Code CLI is your next CLI agent.
Kimi Code CLI is your next CLI agent. Contribute to MoonshotAI/kimi-cli development by creating an account on GitHub.
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#python #academic_papers #conference_presentations #security_reviews
Trail of Bits offers free security resources like academic papers on bug-finding tools, white papers on AI risks and blockchain, guides for secure smart contracts and testing, and public audit reports for clients like Uniswap, Scroll, and Offchain Labs. They cover automated bug detection, cryptography, mobile security, and AI/ML threats, with recent 2024-2026 reviews of Solana, Ethereum, and more. You benefit by accessing expert insights to strengthen your code, spot vulnerabilities early, and build safer software without cost.
https://github.com/trailofbits/publications
Trail of Bits offers free security resources like academic papers on bug-finding tools, white papers on AI risks and blockchain, guides for secure smart contracts and testing, and public audit reports for clients like Uniswap, Scroll, and Offchain Labs. They cover automated bug detection, cryptography, mobile security, and AI/ML threats, with recent 2024-2026 reviews of Solana, Ethereum, and more. You benefit by accessing expert insights to strengthen your code, spot vulnerabilities early, and build safer software without cost.
https://github.com/trailofbits/publications
GitHub
GitHub - trailofbits/publications: Publications from Trail of Bits
Publications from Trail of Bits. Contribute to trailofbits/publications development by creating an account on GitHub.
#typescript #investigation #osint #python #recon
Flowsint is a free, open-source tool for OSINT investigations that visualizes data like domains, IPs, emails, phones, crypto wallets, and websites as interactive graphs to spot hidden links fast. Install easily with Docker and Make via git clone and "make prod," then run locally at localhost:5173 for full privacy—all data stays on your machine. With 30+ auto-enrichers (e.g., subdomain scans, WHOIS, breach checks), it chains tasks to automate deep recon, saving hours on manual work and revealing patterns for cybersecurity, journalism, or fraud probes ethically.
https://github.com/reconurge/flowsint
Flowsint is a free, open-source tool for OSINT investigations that visualizes data like domains, IPs, emails, phones, crypto wallets, and websites as interactive graphs to spot hidden links fast. Install easily with Docker and Make via git clone and "make prod," then run locally at localhost:5173 for full privacy—all data stays on your machine. With 30+ auto-enrichers (e.g., subdomain scans, WHOIS, breach checks), it chains tasks to automate deep recon, saving hours on manual work and revealing patterns for cybersecurity, journalism, or fraud probes ethically.
https://github.com/reconurge/flowsint
GitHub
GitHub - reconurge/flowsint: A modern platform for visual, flexible, and extensible graph-based investigations. For cybersecurity…
A modern platform for visual, flexible, and extensible graph-based investigations. For cybersecurity analysts and investigators. - reconurge/flowsint
#python #audio_driven_talking_face #dance_generation #end_to_end_filming #long_video_generation #video_diffusion_transformers
Stable Video Infinity (SVI) lets you create videos of any length—from seconds to minutes or infinite—starting from one image and text prompts, with no quality loss, drift, or repetition. It uses error-recycling to fix mistakes automatically, supporting stories, cartoons like Tom & Jerry (up to 10+ minutes), talking heads with audio, dancing from skeletons, and multi-scene films. Everything is open-source with models, scripts, datasets, and ComfyUI workflows on Hugging Face and GitHub—you can download, run demos, or train your own easily. This saves you time and effort for pro filmmaking or fun animations without limits.
https://github.com/vita-epfl/Stable-Video-Infinity
Stable Video Infinity (SVI) lets you create videos of any length—from seconds to minutes or infinite—starting from one image and text prompts, with no quality loss, drift, or repetition. It uses error-recycling to fix mistakes automatically, supporting stories, cartoons like Tom & Jerry (up to 10+ minutes), talking heads with audio, dancing from skeletons, and multi-scene films. Everything is open-source with models, scripts, datasets, and ComfyUI workflows on Hugging Face and GitHub—you can download, run demos, or train your own easily. This saves you time and effort for pro filmmaking or fun animations without limits.
https://github.com/vita-epfl/Stable-Video-Infinity
GitHub
GitHub - vita-epfl/Stable-Video-Infinity: [ICLR 26] Stable Video Infinity: Infinite-Length Video Generation with Error Recycling
[ICLR 26] Stable Video Infinity: Infinite-Length Video Generation with Error Recycling - vita-epfl/Stable-Video-Infinity
#python
nanochat lets you train your own GPT-2 level LLM—like a basic ChatGPT—for just $73 in 3 hours on an 8xH100 GPU node using the simple speedrun.sh script. It handles tokenization, pretraining, finetuning, evaluation, inference, and a web chat UI in minimal, hackable code. You benefit by easily building, customizing, and chatting with your personal AI on a tiny budget, learning LLM mechanics hands-on without complex setups.
https://github.com/karpathy/nanochat
nanochat lets you train your own GPT-2 level LLM—like a basic ChatGPT—for just $73 in 3 hours on an 8xH100 GPU node using the simple speedrun.sh script. It handles tokenization, pretraining, finetuning, evaluation, inference, and a web chat UI in minimal, hackable code. You benefit by easily building, customizing, and chatting with your personal AI on a tiny budget, learning LLM mechanics hands-on without complex setups.
https://github.com/karpathy/nanochat
GitHub
GitHub - karpathy/nanochat: The best ChatGPT that $100 can buy.
The best ChatGPT that $100 can buy. Contribute to karpathy/nanochat development by creating an account on GitHub.
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#python
AI-assisted code review prompts by Linux kernel expert Chris Mason speed up Linux kernel and systemd patch reviews. Install easily with bash scripts, then use slash commands like /kreview or /kdebug in tools like Claude—they auto-load project context, break big diffs into tasks, cut token costs by 40-60%, and catch more bugs. You benefit by reviewing code 30-50% faster, saving money, reducing burnout, and improving quality without replacing human checks. Works with GPT-4, Claude, and more; pairs best with semcode for navigation.
https://github.com/masoncl/review-prompts
AI-assisted code review prompts by Linux kernel expert Chris Mason speed up Linux kernel and systemd patch reviews. Install easily with bash scripts, then use slash commands like /kreview or /kdebug in tools like Claude—they auto-load project context, break big diffs into tasks, cut token costs by 40-60%, and catch more bugs. You benefit by reviewing code 30-50% faster, saving money, reducing burnout, and improving quality without replacing human checks. Works with GPT-4, Claude, and more; pairs best with semcode for navigation.
https://github.com/masoncl/review-prompts
GitHub
GitHub - masoncl/review-prompts: AI review prompts
AI review prompts. Contribute to masoncl/review-prompts development by creating an account on GitHub.
#python
Agent Skills are reusable packages of instructions, scripts, and resources that AI agents like Codex can automatically load to complete specific tasks efficiently and consistently. Instead of repeating the same guidance repeatedly, you write a skill once and use it everywhere, which saves time and reduces errors. You can install pre-built skills automatically or create custom ones tailored to your organization's needs, then share them across teams. This modular approach transforms general AI assistants into domain specialists, enabling them to handle complex, specialized workflows reliably without requiring you to provide the same instructions in every conversation.
https://github.com/openai/skills
Agent Skills are reusable packages of instructions, scripts, and resources that AI agents like Codex can automatically load to complete specific tasks efficiently and consistently. Instead of repeating the same guidance repeatedly, you write a skill once and use it everywhere, which saves time and reduces errors. You can install pre-built skills automatically or create custom ones tailored to your organization's needs, then share them across teams. This modular approach transforms general AI assistants into domain specialists, enabling them to handle complex, specialized workflows reliably without requiring you to provide the same instructions in every conversation.
https://github.com/openai/skills
GitHub
GitHub - openai/skills: Skills Catalog for Codex
Skills Catalog for Codex. Contribute to openai/skills development by creating an account on GitHub.