Showing 21-40 of 79 projects
A set of tools to help developers inter-operate between different deep learning frameworks like Caffe, Keras, TensorFlow, and PyTorch.
SynapseML is a simple and distributed machine learning library for building and deploying AI models at scale.
A deep learning visualization toolkit that helps developers understand and debug their AI models.
An engine-agnostic deep learning framework in Java that supports popular AI/ML runtimes like TensorFlow, PyTorch, and ONNX.
A Dockerized FastAPI wrapper for the Kokoro-82M text-to-speech model with CPU and GPU support.
A tutorial repository for learning PyTorch, covering computer vision, NLP, and deep learning model deployment.
A lite C++ AI toolkit with 100+ models for computer vision tasks like detection, segmentation, and image generation.
A collection of pre-trained deep learning models and demos optimized for high performance using the OpenVINO toolkit.
A C++ library that simplifies ONNX models, useful for deep learning and AI developers.
Tutorials for creating and using ONNX models
A retargetable MLIR-based machine learning compiler and runtime toolkit for AI/ML developers.
Effortless AI-assisted data labeling with support from YOLO, Segment Anything (SAM, SAM2), and MobileSAM.
ONNX-TensorRT is a C++ library that provides a TensorRT backend for the ONNX deep learning framework.
A sparsity-aware deep learning inference runtime for CPUs, optimized for performance and efficiency.
A fast and accurate object detection method with new technologies like NAS backbones and efficient RepGFPN.
A powerful object detection and instance segmentation library built on top of YOLOv7 and transformers, with TensorRT acceleration.
A PyTorch implementation of a fast and accurate 3D face alignment model for computer vision applications.
OpenMMLab's model deployment framework for optimizing and deploying computer vision models across various backends.
An open-source AI-powered image and video upscaler application for developers and creatives.
High-performance vector graph neural network database in Rust for real-time AI inference and graph ML.
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