Ibm Max
Showing 10 of 10 projects
A TensorFlow-based GAN model that upscales images by 4x while generating photo-realistic details.
A deep learning model that classifies sounds in 10-second audio clips into 527 categories from the AudioSet ontology.
A Docker-based speech recognition model that converts short English WAV audio files into text using Mozilla's DeepSpeech.
Generates embedding vectors from audio files using a TensorFlow model trained on AudioSet, deployable as a Docker container.
A BERT-based model that answers questions from a given text corpus, deployable as a Docker container.
A TensorFlow-based image segmentation model that assigns each pixel in an image to one of 21 object classes from the PASCAL VOC dataset.
A pre-trained deep learning model for image classification that identifies 1000 object classes using the Inception-ResNet-v2 architecture.
A TensorFlow-based model that generates text summaries using pointer-generator networks, deployable as a Docker container.
A TensorFlow-based model that generates English-language text similar to news articles from the One Billion Word Benchmark dataset.
A base Docker image containing common dependencies for IBM Model Asset Exchange machine learning models.
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