Showing 1-20 of 38 projects
Caffe is a fast deep learning framework for vision and machine learning tasks.
Real-time multi-person keypoint detection for body, face, hands, and foot
Data science Python notebooks covering deep learning, machine learning, big data, and more.
High-performance mobile-optimized neural network inference framework for deploying AI models on mobile devices
Comprehensive learning roadmap for AI & machine learning, with 200+ practical cases and projects for beginners to experts.
A guide to deploying deep-learning inference networks and computer vision primitives with NVIDIA Jetson hardware and TensorRT.
A Caffe-based implementation of the waifu2x image upscaling and noise reduction model.
Largest list of pre-trained machine learning models for Apple's Core ML framework for iOS 11+.
A deep neural network model for classifying Not Suitable for Work (NSFW) content.
A set of tools to help developers inter-operate between different deep learning frameworks like Caffe, Keras, TensorFlow, and PyTorch.
Open-source code repository for realtime multi-person pose estimation, a key computer vision task.
A beginner's guide to machine learning and image classification with neural networks in Python.
A deep learning visualization toolkit that helps developers understand and debug their AI models.
An all-in-one Docker image for deep learning with popular DL frameworks like TensorFlow, Theano, Torch, and Caffe.
Polyaxon is an MLOps platform for managing and orchestrating the machine learning lifecycle.
A PyTorch implementation of Squeeze-and-Excitation Networks, a CNN architecture that enhances feature expressiveness.
An open-source deep learning-based tool for automatic colorization of grayscale images.
A convertor/conversion tool for deep learning models across various deep learning frameworks/software.
A library for running Caffe models in TensorFlow, enabling developers to leverage existing Caffe models in their TensorFlow-based projects.
Deep learning software for colorizing black and white images with a few clicks.
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