Tag
A lightweight TTS implementation, replicating Audio8's training with 2000 hours of data, achieving a SIM metric of 0.72 in under 10 hours of training on H200.
Netron is an open-source visualizer for neural network, deep learning, and machine learning model files, supporting formats like ONNX, PyTorch, TensorFlow, and more via browser, desktop, or Python.
A tutorial on building a real-time object detection and tracking pipeline for robotics using ROS 2 and YOLOv11, covering threaded inference, ByteTrack integration, confidence validation, and ONNX export for edge deployment.
Ultralight Digital Human is an open-source Python project that lets you train a person-specific, audio-driven talking head from a 3–5 minute video, with support for HuBERT/WeNet audio features, ONNX export, and streaming inference.
They released a unified multi-head security classifier (mmBERT-small encoder with seven heads) using masked losses for absent task labels, achieving high F1 scores across seven tasks, and also released quantized ONNX INT8 variants. Weights and metrics are public.
Introduces qZACH-ViT, a quantization-aware extension of ZACH-ViT with recursive intrinsic explanations, and Recursive Attribution-Stabilized Optimization (RASO) for stable attribution gradients. Achieves high prediction agreement and speedups on MedMNIST datasets after INT8 conversion.
Explores the performance of running a voice assistant with Qwen3-ASR and Kokoro-TTS ONNX models on CPU, measuring response times without a GPU.
Manticore Search 27.1.5 introduces a new ONNX Runtime backend for embeddings that achieves ~14x faster performance than the previous SentenceTransformers/Candle path, with throughput ranging from 70-230 docs/sec compared to 5-11 docs/sec, and no API changes required.
Simon Willison ported the Moebius 0.2B image inpainting model to run in the browser using WebGPU and ONNX Runtime, assisted by Claude Code. The resulting demo allows users to upload images and remove objects via inpainting.
archex is a local-first, deterministic tool that builds token-budgeted code context bundles for AI agents, using a full retrieval pipeline (BM25F, local embeddings, cross-encoder reranker, dependency-graph expansion) on your hardware with no API keys or telemetry, outperforming alternatives in recall and efficiency.
OpenCV 5 is a major release of the computer vision library, featuring a new DNN engine, improved ONNX support, hardware acceleration, and a cleaner architecture. It represents a significant modernization for developers working with classical vision, deep learning, and edge deployment.
NVIDIA released an optimized ONNX version of the Kokoro TTS model on Hugging Face. The 82M parameter model is lightweight, fast, and ready for commercial use.
A deep dive video explaining how AI models run from JavaScript using Transformers.js, covering tensors, ONNX, quantization, WebGPU/WASM, and more.
Trained a prompt injection classifier using ml-intern and DeepSeek V4 Flash, achieving 99% F1 with DistilBERT, optimized to ONNX int8 (~65MB) and deployable in the browser via Transformers.js v3.
Supertonic is a new open-source TTS engine that runs on-device via ONNX, supporting 31 languages and outperforming ElevenLabs in speed, even on a Raspberry Pi without a GPU.