Pre Trained Models
Showing 23 of 23 projects
A comprehensive collection of Chinese NLP resources, datasets, tools, and pre-trained models for developers and researchers.
A PyTorch library providing datasets, model architectures, and image transformations for computer vision tasks.
A collection of pre-trained machine learning models ported to TensorFlow.js for use directly in the browser or Node.js.
Official JAX/Flax implementation of Vision Transformer (ViT) and MLP-Mixer for image recognition, with pre-trained models.
A curated collection of machine learning models in Core ML format for iOS, macOS, tvOS, and watchOS developers.
A curated collection of machine learning models in Core ML format for iOS, macOS, tvOS, and watchOS developers.
An open-source NLP framework for building and deploying deep learning dialog systems and chatbots with PyTorch and transformers.
A friendly JavaScript library that makes machine learning accessible in the browser for artists, creative coders, and students.
PyTorch implementation of FlowNet 2.0 for optical flow estimation using deep neural networks.
Official repository for Big Transfer (BiT) models, providing pre-trained visual representations for efficient transfer learning across computer vision tasks.
A curated collection of open-source computer vision pre-trained models across TensorFlow, Keras, PyTorch, Caffe, and MXNet frameworks.
An open-source library providing chest X-ray datasets, pre-trained models, and tools for medical imaging research and analysis.
An open-source Java framework for rapid development of machine learning and statistical applications with large dataset support.
High-level TensorFlow network definitions with pre-trained weights for easy integration into existing ML workflows.
A pre-trained BERT model designed for DNA sequence analysis, enabling genome understanding tasks like classification and motif discovery.
Pre-trained biomedical language representation model for biomedical text mining tasks like named entity recognition and relation extraction.
A BERT model pre-trained on PubMed abstracts and clinical notes for biomedical natural language processing tasks.
A fast neural network framework for iOS and macOS using Swift and Metal for GPU acceleration.
A collection of pre-trained BERT, DistilBERT, ELECTRA, GPT-2, and ConvBERT models for multiple languages, including German, Italian, Turkish, and historic texts.
A curated archive of pre-trained computer vision models for object detection, face recognition, fire detection, and more.
A curated collection of machine-learned models for autonomous driving tasks like perception, prediction, and planning.
A pre-trained deep learning model for image classification that identifies 1000 object classes using the Inception-ResNet-v2 architecture.
A Caffe-based deep learning model for face detection with pre-trained weights and training scripts.
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