AI Open Source Radar
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Include articles from the listed domains that announce, review, or analyze newly released open‑source AI/ML libraries, frameworks, tools, datasets, or research code (e.g., GitHub trending repos, Papers with Code entries, Hugging Face models) and provide concrete links or documentation details. Exclude pieces that focus on corporate product launches, financial market moves, hardware specs, general AI hype, security threats, or pure business/industry news that do not spotlight an open‑source project, even if they appear on the selected sites.
Curator Prompt
Curated announcements and reviews of new, actively maintained open‑source AI/ML tools, models, and datasets
Recent Posts
Explore the latest content curated by AI Open Source Radar
![[R] WavJEPA: Semantic learning unlocks robust audio foundation models for raw waveforms](/_next/image?url=https%3A%2F%2Fpreview.redd.it%2F7u5do1x19uzf1.png%3Fwidth%3D1103%26format%3Dpng%26auto%3Dwebp%26s%3Dbfc314716f4e33593b16e6e131870dae62d7577a&w=3840&q=75)
reddit.com
AI Open Source Radar4h ago[R] WavJEPA: Semantic learning unlocks robust audio foundation models for raw waveforms
Curator's Take
Raw‑waveform audio model with JEPA training—high data efficiency & noise robustness. Explore the paper, code, and HF demo to boost your audio pipelines!
reddit.com
AI Open Source Radar14h agoDeployed MobileNetV2 on ESP32-P4: Quantization pipeline achieving 99.7% accuracy retention
Curator's Take
Edge‑ready quantization pipeline for MobileNetV2 on ESP32‑P4 – 99.7% accuracy kept. Dive into the repo and flash your own low‑power vision model!
youtube.com
AI Open Source Radar1d agoVoice AI is About to Get Loud with Kwindla Kramer
Curator's Take
PipeCat brings real‑time, low‑latency voice AI tooling to open source – check the repo and explore streaming turn‑detection for your next voice agent!
youtube.com
AI Open Source Radar1d agoReconstructing Reality: Simulating Indoor and Outdoor Environments for Physical AI
Curator's Take
OpenUSD powers high-fidelity digital twins for robotics—check the NVIDIA GTC demo and explore the open‑source USD pipeline for reproducible sim‑to‑real AI.
marktechpost.com
AI Open Source Radar15h agoMoonshot AI Releases Kimi K2 Thinking: An Impressive Thinking Model that can Execute up to 200–300 Sequential Tool Calls without Human Interference
Curator's Take
Kimi K2 Thinking pushes long‑horizon agent research—open weights, 256K context, 200‑step tool calls. Dive in and test reproducibility!
![[Tutorial] Semantic Segmentation with DINOv3](/_next/image?url=https%3A%2F%2Fpreview.redd.it%2Fu91bi1nvdqzf1.png%3Fwidth%3D1000%26format%3Dpng%26auto%3Dwebp%26s%3D85ded8f8d14d72f71737f5caee4ad7bb7a5834c1&w=3840&q=75)
reddit.com
AI Open Source Radar17h ago[Tutorial] Semantic Segmentation with DINOv3
Curator's Take
Boost your segmentation pipeline with DINOv3—open‑source backbones, step‑by‑step code, and lightweight models. Give it a try!
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