Machine Learning Models
Showing 23 of 23 projects
A TensorFlow-based GAN model that upscales images by 4x while generating photo-realistic details.
A curated collection of open-source machine learning models compatible with Apple's Core ML framework.
A curated list of popular deep learning models for image classification, segmentation, and detection with key performance metrics.
A TensorFlow-based object detection model that localizes and identifies multiple objects in images using SSD MobileNet V1 or Faster R-CNN ResNet101.
A deep learning model that classifies sounds in 10-second audio clips into 527 categories from the AudioSet ontology.
A TensorFlow/Keras LSTM model for hourly weather forecasting, offering univariate, multivariate, and multistep prediction modes.
Detects humans in images and estimates their poses by identifying body parts and connecting them with pose lines.
Generates embedding vectors from audio files using a TensorFlow model trained on AudioSet, deployable as a Docker container.
A BERT-based model that detects six types of toxicity in text comments, deployable as a Docker container.
A pre-trained BERT-based model for detecting positive or negative sentiment in short text fragments.
Deploy a neural network model that transfers artistic styles from one image to another using a ResNet-based architecture.
A pre-trained image classifier that recognizes 365 different scene and location types using a ResNet18 model fine-tuned on Places365.
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 GAN model that automatically adds color to black and white images.
A TensorFlow-based model that generates English-language text similar to news articles from the One Billion Word Benchmark dataset.
A deep learning model that detects mitosis in breast cancer tumor cell images to assist in tumor proliferation scoring.
A deep learning model that classifies sports videos into 487 different sports activities using a 3D convolutional neural network.
Generates short audio clips of speech commands and lo-fi instrumental samples using a WaveGAN-based generative adversarial neural network.
A language generation model that creates English text similar to Yelp reviews using a recurrent neural network with LSTM layers.
A deep learning model for image classification that identifies 1000 object classes using the ResNet-50 architecture.
A deep learning model that identifies and segments nuclei in microscopy images using Mask R-CNN.
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