Model Zoo
Showing 20 of 20 projects
A comprehensive collection of PyTorch image models, layers, utilities, and training scripts for computer vision research and applications.
A fast open framework for deep learning with a focus on expression, speed, and modularity.
A PyTorch-based platform for state-of-the-art object detection, segmentation, and visual recognition tasks.
A Python library for language-vision intelligence research, providing unified access to state-of-the-art models, datasets, and tasks.
A curated list of semantic segmentation papers, code, datasets, and resources across various deep learning frameworks.
A curated collection of machine learning models in Core ML format for iOS, macOS, tvOS, and watchOS developers.
A PyTorch-based toolbox for LiDAR-based 3D object detection, supporting multiple state-of-the-art models and datasets.
A PyTorch-based toolbox for LiDAR-based 3D object detection, supporting multiple state-of-the-art models and datasets.
A PyTorch-based research platform implementing state-of-the-art single object tracking algorithms like SiamRPN and SiamMask.
Intel's reference deep learning framework designed for high performance across CPUs, GPUs, and custom hardware.
A simple and versatile framework for object detection and instance recognition with extensive model coverage and distributed training.
A curated list of deep learning implementations and resources for biological research, with a focus on genomics.
A general-purpose PyTorch codebase for 3D object detection with state-of-the-art model implementations and multi-dataset support.
A curated collection of TensorFlow Lite models, sample apps, tools, and learning resources for mobile and edge AI development.
A curated collection of open-source computer vision pre-trained models across TensorFlow, Keras, PyTorch, Caffe, and MXNet frameworks.
High-level TensorFlow network definitions with pre-trained weights for easy integration into existing ML workflows.
A curated list of awesome Torch tutorials, projects, libraries, and communities for deep learning.
A curated list of popular deep learning models for image classification, segmentation, and detection with key performance metrics.
A unified deep learning and reinforcement learning framework supporting multiple backends and hardware platforms.
A collection of pretrained deep learning models (StyleGAN2, GPT2, VGG, ResNet) for the Jax/Flax ecosystem.
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