Showing 21-40 of 67 projects
A high-performance, auto-diff neural network library for 3D and 4D sparse tensor computations.
A comprehensive collection of TensorFlow tutorials covering convolutional and recurrent neural networks.
A curated collection of Turkish deep learning and machine learning resources for developers.
A comprehensive resource for learning machine learning and deep learning using Python and popular libraries.
A computer vision library for human-computer interaction, including head pose and gaze estimation, skin detection, motion tracking, and more.
A comprehensive survey of text classification algorithms and techniques in Python.
Bender is a Swift library that makes it easy to build fast neural networks on iOS using TensorFlow models with Metal under the hood.
An embedded computer vision and machine learning library optimized for IoT and real-time use cases.
Interactive visualization for Keras convolutional neural networks
A curated collection of top 200 deep learning GitHub repositories sorted by stars for AI developers.
A PyTorch library for applying convolutional neural networks to 3D mesh data.
Software and pre-trained models for automatic photo quality enhancement using deep learning.
A collection of TensorFlow 2.0 examples for deep learning, computer vision, and more.
A Python library that improves the stability and accuracy of convolutional neural networks (CNNs) in computer vision tasks.
A deep learning library for time series classification, useful for AI developers working with sensor and time-based data.
Grad-CAM is a deep learning visualization technique for interpreting and explaining CNN-based models.
Fast AutoAugment is an official PyTorch implementation for automatic data augmentation.
Official repository for the 'Big Transfer (BiT): General Visual Representation Learning' paper, focused on transfer learning for computer vision.
A Keras-based implementation of a CNN network for age and gender estimation from images.
A PyTorch library for rethinking network pruning techniques to improve model performance.
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