Showing 1-20 of 34 projects
A collection of PyTorch image encoders/backbones with training, evaluation, and inference scripts.
A comprehensive machine learning library in Python with implementations of various algorithms and models.
A collection of tutorials and notebooks on state-of-the-art computer vision models and techniques for developers.
A PyTorch library with pre-trained convolutional networks for various computer vision tasks.
TensorRT implementation of popular deep learning networks for efficient inference on GPUs
Tools to design or visualize the architecture of neural networks
Pretrained PyTorch models for face detection and facial recognition, useful for building computer vision applications.
Segmentation models with pretrained backbones for image processing and computer vision tasks.
A PyTorch repository for practicing image classification on the CIFAR-100 dataset using various deep learning models.
A pre-training toolbox and benchmark for vision AI models, including self-supervised learning and state-of-the-art architectures.
A powerful TensorFlow implementation of the Faster R-CNN object detection algorithm.
A PyTorch repository providing pre-trained models and datasets for common computer vision tasks.
Face detection and recognition library for Python, using the Dlib computer vision library.
Torch implementation of ResNet, a popular deep learning model, with training scripts.
Provides a series of 3D-ResNet pre-trained models and code for medical imaging deep learning.
A project that provides a collection of pre-trained deep learning models for image classification tasks.
A PyTorch-based deep learning framework for 2D/3D medical image segmentation.
PyTorch-based library for image classification tasks like CIFAR-10, CIFAR-100, and ImageNet.
A collection of TensorFlow 2.0 examples for deep learning, computer vision, and more.
ResNet model implementation in TensorFlow for developers building with AI tools
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