Pinned Repositories
DeDoDe-ONNX-TensorRT
ONNX-compatible DeDoDe 🎶 Detect, Don't Describe - Describe, Don't Detect, for Local Feature Matching. Supports TensorRT 🚀
Depth-Anything-ONNX
ONNX-compatible Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
DocShadow-ONNX-TensorRT
ONNX-compatible DocShadow: High-Resolution Document Shadow Removal. Supports TensorRT 🚀
fabio-sim.github.io
Fast-SeamlessM4T-ONNX
ONNX-compatible Fast SeamlessM4T—Massively Multilingual & Multimodal Machine Translation
kornia-fork
Computer Vision and Robotics Library for AI
kornia-tutorials-fork
Repository containing the Kornia related tutorials
LightGlue-ONNX
ONNX-compatible LightGlue: Local Feature Matching at Light Speed. Supports TensorRT, OpenVINO
PINTO_model_zoo-fork
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.
onnxruntime
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
fabio-sim's Repositories
fabio-sim/LightGlue-ONNX
ONNX-compatible LightGlue: Local Feature Matching at Light Speed. Supports TensorRT, OpenVINO
fabio-sim/Depth-Anything-ONNX
ONNX-compatible Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
fabio-sim/DeDoDe-ONNX-TensorRT
ONNX-compatible DeDoDe 🎶 Detect, Don't Describe - Describe, Don't Detect, for Local Feature Matching. Supports TensorRT 🚀
fabio-sim/Fast-SeamlessM4T-ONNX
ONNX-compatible Fast SeamlessM4T—Massively Multilingual & Multimodal Machine Translation
fabio-sim/DocShadow-ONNX-TensorRT
ONNX-compatible DocShadow: High-Resolution Document Shadow Removal. Supports TensorRT 🚀
fabio-sim/fabio-sim.github.io
fabio-sim/kornia-fork
Computer Vision and Robotics Library for AI
fabio-sim/kornia-tutorials-fork
Repository containing the Kornia related tutorials
fabio-sim/PINTO_model_zoo-fork
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.