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📦 wujh2001/atgs

ATGS: The Future of 3D Video

ATGS lets you render long, high-fidelity volumetric videos without falling apart. It uses anchored temporal Gaussian splatting, a fancy way of saying it tracks moving objects over time by anchoring them to stable points in space. This solves the messy problem of keeping 3D scenes coherent when things move or change, which is hard with standard methods. It is cool because it handles long sequences, not just short clips, using a flexible encoder that models how things change frame by frame. If you want to see how 3D video tech is evolving, this is a solid starting point.

🆔 @hackernewsgithubprojects
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📦 dongping-chen/game2world

Game2World: The AI Editor That Cleans Gameplay Videos

Game2World acts as a specialized video editor that strips away the clutter from real gameplay recordings, removing health bars, maps, and menu screens while leaving the actual game action completely intact. This tool solves a major hurdle in artificial intelligence research, where computer models need clean, unobstructed footage to learn how the world moves and reacts. By providing this pristine training material, the project helps researchers teach machines to understand complex environments without getting confused by the user interface. This single capability is what makes the project so valuable to the field.

🆔 @hackernewsgithubprojects
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📦 yoon307/dinode

DINOde: The Tiny Head That Segments Anything

DINOde is the vision model that segments images using only image captions and no mask labels. Most tools require thousands of labeled pixels to learn what a tree or car looks like. DINOde skips that heavy lifting entirely by freezing two massive pre-trained AI brains and adding a tiny, learnable bridge between them. It uses a mathematical flow to smoothly move text concepts into visual space, letting the computer understand complex words it has never seen before. This makes the model incredibly fast to train and easy to adapt. You get powerful, general-purpose segmentation without the data grind, proving that smart math can replace massive datasets.

🆔 @hackernewsgithubprojects
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📦 dobermancore/doberman-core

Doberman: The Guard Dog for AI Coding Agents

Prevent your AI coding agent from accidentally deleting your project or leaking your private keys by intercepting every tool call before it runs. Doberman acts as a runtime guard dog, sitting between the model and your actual tools to inspect each action. It instantly blocks dangerous commands like destructive file deletions or unauthorized data transfers, while letting safe routine tasks pass through without friction. If something sensitive happens, it pauses for your explicit approval, ensuring you stay in control. This project guarantees that uncertainty results in a denial, meaning a blocked action never executes.

🆔 @hackernewsgithubprojects
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📦 mertcookimg/open_duck_mini_viewer

Open Duck Mini Viewer

Control a bipedal duck robot entirely from your web browser using Open Duck Mini Viewer. This open source project simulates the hardware locally, so you can walk the duck, trigger funny motions like a headbang, and paint its body parts in real time without owning the physical device. It turns a complex robotics simulation into a playful, interactive web page that runs instantly. No heavy installation or Python scripts are needed, just a browser tab. If you enjoy tinkering with robotics or want to see how a digital twin works, this is a fun, low friction way to get your hands dirty.

🆔 @hackernewsgithubprojects
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📦 freeai-org/scalpel

How Scalpel Makes AI Models Faster

A vision and language model can lose nine out of twenty eight internal layers and still keep ninety nine percent of its original accuracy. This project is called Scalpel. It treats model shrinking like careful surgery. Instead of chopping off huge chunks at once, it makes tiny, precise cuts to remove one layer at a time. After each cut, it runs a quick local repair to fix the gap and keep the model smart. This prevents the usual sharp drop in quality you see with standard pruning. By the end, the model runs forty three percent faster with barely any loss in performance.

🆔 @hackernewsgithubprojects
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📦 getopenscreen/openscreen

OpenScreen: The Open-Source Screen Recorder That Actually Edits

Record your screen and turn it into a polished demo in one go. OpenScreen is a free, open-source desktop app that skips the watermark nonsense and subscription fees you usually pay for. It captures your display with GPU speed, then lets you cut, zoom, and add captions right there. The coolest part? It transcribes your voiceover locally on your machine, so your data never leaves your computer while you get editable subtitles automatically. If you need to show your work to a client or post a quick tutorial, this tool handles the heavy lifting. You get a clean, professional video without touching a single paid tool.

📰 https://news.ycombinator.com/item?id=49520876

🆔 @hackernewsgithubprojects
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📦 morluto/jacobian

Jacobian: Math Tools for AI

The project named Jacobian builds a standardized toolkit that lets artificial intelligence agents tackle complex mathematical problems using simple, reusable pieces. It works like a set of basic building blocks, allowing a computer program to combine fundamental math operations to solve hard puzzles without needing custom code for every single task. This approach helps researchers test how well machines can reason through tricky logic and proofs. By breaking big problems into small, manageable steps, the system makes it easier to track progress and verify results. It is a fascinating look at how we can teach machines to think step by step rather than guessing the answer.

📰 https://news.ycombinator.com/item?id=49107914

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📦 tt-a1i/simplify-codebase

Simplify Codebase: The AI Agent That Proves Before It Deletes

This AI agent refuses to delete a single line of code until it has mathematically proven that the system will survive the cut. Named simplify codebase, it acts as a cautious auditor for your software, hunting down the invisible clutter that quietly slows teams down, like duplicate settings or abandoned features hiding in plain sight. Instead of blindly trimming bulk, it traces exactly who uses every part of your app before making a move, ensuring you keep the critical pieces and toss only the true dead weight. It is a powerful way to shrink your mental load without breaking anything.

🆔 @hackernewsgithubprojects