Showing 21-34 of 34 projects
A comprehensive PyTorch-based code repository for image classification, including training, prediction, TTA, model fusion, deployment, and more.
A Keras-based implementation of the ResNet deep learning architecture for computer vision tasks.
Properly implemented ResNet-s for CIFAR10/100 in PyTorch, matching the original paper description.
A collection of Caffe models and deployment files for popular machine learning networks like classification, detection, and segmentation.
DeepLab-ResNet reimplementation in TensorFlow for semantic image segmentation.
Classification models trained on ImageNet, for use in computer vision and image classification tasks.
A research and production-oriented toolkit for speaker verification, recognition, and diarization using AI and ML techniques.
A template for deploying a Keras-based image classifier web app using Flask in 10 minutes.
This Python repository contains code examples for machine learning, NLP, and deep learning using Keras and Theano
Automated Deep Learning without any human intervention, the first solution for the AutoDL challenge@NeurIPS.
A deep learning library for EEG tasks classification, built with TensorFlow.
Video classification tools using 3D ResNet for action recognition and computer vision tasks.
Tutorials on implementing image classification architectures using PyTorch and TorchVision.
High-level network definitions with pre-trained weights in TensorFlow for deep learning and computer vision tasks.
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