TRELLIS is shaping up to be the best open-source 3D generator out there! 🌟🎨

With TRELLIS, users can create detailed and high-quality 3D models with ease. Perfect for developers, designers, and anyone in need of a powerful and flexible 3D creation tool.

Whether you’re crafting virtual worlds, designing assets, or experimenting with 3D art, TRELLIS offers:

📌 Seamless functionality.

📌 Customization options.

📌 Compatibility with various pipelines.

The open-source nature ensures a growing community and constant innovation. 🚀

#3D #TRELLIS #OpenSource
Brain Storm

THIS IS A BREAKTHROUGH! Everything you see in the video is generated! 🎥

Now, EVERYTHING you love about generated content is supported by REAL physics! 🌍

Over 20 laboratories have come together to create Genesis — a large-scale open-source research project.

Genesis is a generative physics engine capable of creating 4D dynamic worlds. Developed in pure Python, it’s 10-80 times faster than existing stacks with GPU acceleration. ⚡

Imagine instant physical environments, camera movement trajectories, and character animations — all generated using natural language. ✍️

Simply describe what should happen in the video in ordinary words, and everything will be generated incredibly fast and physically consistent!

Check out the project page on GitHub.

Even the recent Veo 2 announcement pales in comparison to this release. 😱

#AI #Genesis #PhysicsEngine #Innovation #OpenSource #4D
Brain Storm

🔮 CN-AI-RESEARCH | Исследования в области ИИ

Компания DeepSeek в рамках своей недели Open Source представила два новых инструмента и набор данных, которые помогут улучшить производительность AI-моделей.

🔧 DualPipe
Этот алгоритм параллельной обработки позволяет одновременно выполнять вычисления и обмен данными, устраняя задержки (так называемые "пузыри" в pipeline). Представьте, что вы дирижируете оркестром, где каждый музыкант (GPU) работает синхронно, без ожидания других. Именно это делает DualPipe!

🔧 EPLB (Expert-Parallel Load Balancer)
Инструмент для балансировки нагрузки между GPU при использовании экспертного параллелизма. Он оптимизирует распределение задач, чтобы минимизировать простои и максимизировать эффективность использования ресурсов.

📊 Анализ данных тренировки и инференса
DeepSeek также опубликовал данные анализа своих фреймворков, чтобы помочь сообществу лучше понять стратегии перекрытия вычислений и коммуникаций.

🎯 Почему это важно?
Эти инструменты не только упрощают работу с моделями DeepSeek, но и могут быть полезны для разработчиков других крупных языковых моделей.

Подробнее о проектах: 
👉 DualPipe 
👉 EPLB 
👉 Анализ данных 

#КитайскийИИ #КитайAI #DeepSeek #OpenSource

🚀 Introducing L2CS-Net: Fine-Grained Gaze Estimation 👀✨

🔗 GitHub Repo: Star ⭐ the Repo

🔥 Key Features:
✅ Fine-grained gaze estimation with deep learning
✅ Supports Gaze360 dataset
✅ Train with Single-GPU / Multi-GPU
✅ Demo for real-time visualization

📌 Quick Start:
🗂️ Prepare dataset
🏋️ Train (python main.py --train)
🎥 Video Infernece (python main.py --demo)

🌟 Support Open Source! Star ⭐ & Share!
🔗 GitHub Repo: L2CSNet

#AI #DeepLearning #GazeEstimation #L2CSNet #OpenSource 🚀

🚀 Introducing L2CS-Net: Fine-Grained Gaze Estimation 👀✨

🔗 GitHub Repo: Star ⭐ the Repo

🔥 Key Features:
✅ Fine-grained gaze estimation with deep learning
✅ Supports Gaze360 dataset
✅ Train with Single-GPU / Multi-GPU
✅ Demo for real-time visualization

📌 Quick Start:
🗂️ Prepare dataset
🏋️ Train (python main.py --train)
🎥 Video Infernece (python main.py --demo)

🌟 Support Open Source! Star ⭐ & Share!
🔗 GitHub Repo: L2CSNet

#AI #DeepLearning #GazeEstimation #L2CSNet #OpenSource 🚀

🚀 Next-Level 3D Generation is Here!

🔥 TripoSG — A state-of-the-art open-source 3D generation model powered by Large-Scale Rectified Flow Transformers.

🎨 Turn single images into high-fidelity 3D shapes — fast, accurate, and stunning.

🔗 Paper:https://arxiv.org/pdf/2502.06608v3
🛠 Demo: Try it on Hugging Face
💻 Code: GitHub Repo

💡 Built by VAST-AI Research

#AI #3D #OpenSource #DiffusionModels #TripoSG

🚀 Refactored HRNet Now Live! 🚀

🔥 Supercharge your computer vision projects with high-resolution HRNet models – fully refactored for easy training/testing!

✅ Multiple ImageNet-pretrained models
✅ Lightning-fast setup
✅ Top-tier accuracy

👉 Check it out & ⭐️ Star the repo if you find it useful!
GitHub: Shohruh72/HRNet

#AI #DeepLearning #OpenSource

@deeplearning_ai

🚀 The Future of Object Detection is Here!

🔍Achieve state-of-the-art results with just one line of code! 🔥

🎥 Live Demos & Code: GitHub Repo

📥 Pretrained Models: Ready for download—plug and play!

⭐️ Support innovation! Star the repo now 👉 GitHub Link

📢 Join our ML community: @DeepLearning_ai

#MachineLearning #AI #ObjectDetection #YOLO #OpenSource #DevCommunity #TechInnovation

ReferDINO: Referring Video Object Segmentation with Visual Grounding Foundations

Source Code: Github

📢 Join our ML community: @DeepLearning_ai

#MachineLearning #AI #ObjectDetection #YOLO #OpenSource #DevCommunity #TechInnovation

Nvidia PAIR Debuts at IFA to Turn Idle PCs into AI Clusters

Announced at the IFA 2026 trade show, Nvidia launched a free, open-source software tool called PAIR (Personal AI Router) to turn your idle home computers into a private local AI cluster. This utility automatically distributes heavy agentic workloads across your local network, bypassing expensive cloud APIs entirely.

🚀 Instead of buying one massive, expensive rig, you can now chain the hardware you already own. PAIR works as a local proxy, discovering idle GPUs on your network to delegate sub-tasks from multi-agent workflows. It supports Nvidia RTX 20-series or newer, RTX Pro, DGX Spark, and even Apple M4 chips. Everything hooks up directly with Ollama and LM Studio, keeping your prompts, files, and context strictly offline.

Historically, setting up a local GPU cluster required complex Kubernetes configurations or massive enterprise hardware. PAIR eliminates this barrier, offering a direct, cost-free alternative to renting cloud GPUs or burning through API tokens from OpenAI or Anthropic.

If you have spare hardware lying around, you can download the PAIR utility and start building your own mini data center today.

Your idle GPU is finally going to pay rent.

#Nvidia #LocalAI #OpenSource

The Decoder

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Open-source alternatives to professional editing software created using Claude

💻 A developer released free open-source alternatives to professional software hosted on GitHub. Built using Claude and Rust, the October 2026 releases include lightweight clones of Adobe applications like Photoshop and Premiere.

The 64-bit Windows build of the photo editor weighs just over 62 MB, drastically undercutting the size of the original suite. Binaries are available across Windows, macOS, and Linux, though download links have faced rapid removal amid speculation of legal pressure.

Already checked the repository, or sticking to official subscriptions?

#opensource #ai #rust

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Anthropic launches free OSS Scanner for open source

On October 9, 2026, Anthropic introduced a free vulnerability scanning service called OSS Scanner for open-source projects. The tool uses frontier models like Claude Mythos to run periodic checks, but delivers raw reports entirely without human review or triage.

⚠️ AI-driven bug hunting is already speeding up detection, much like the critical Copy Fail bug that hit nearly every Linux distro back in May. But this automation is turning into a double-edged sword for maintainers.

Projects led by developers like Linus Torvalds and even Google are already struggling to keep up with the sheer volume of AI-generated alerts. Are you ready to filter through a mountain of automated noise in your repos?

#AI #OpenSource #Cybersecurity

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Reflection AI releases Beam open-weight model

Reflection AI launched Beam, a 501-billion-parameter open-weight model for agentic coding under the Apache 2.0 license.

🚀 The system packs 23 billion active parameters and a 1-million-token context window for efficient enterprise deployment on Amazon infrastructure.

#AI ⚡ #OpenSource ⚡ #Coding

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Deepseek-V4.1-Flash-1017 model release

Chinese AI company Deepseek launched the Deepseek-V4.1-Flash-1017 open-weight model on Oct 17, 2026, cutting per-task costs while beating larger rivals.

🔥 The model hits top benchmark scores at under $0.20 per task, outperforming Claude Opus 5 and GPT 5.6-Sol.

#Deepseek ⚡ #AI ⚡ #OpenSource

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DeepSeek open-sources DeepInfer framework

🚀 On October 20, 2026, Chinese startup DeepSeek released DeepInfer, the inference engine powering its DeepSeek-V4.1-Flash model.

The vLLM-based software runs on Nvidia Blackwell and Huawei Ascend hardware, supporting 155 trillion daily tokens.

#DeepSeek ⚡ #AI ⚡ #OpenSource

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