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This project is a collection of TensorFlow 2.x machine learning tutorials and practical code examples. It serves as a deep learning implementation guide for constructing diverse neural network architectures, including convolutional, recurrent, and generative networks. The repository provides templates and examples for several specialized domains, including computer vision for image classification and object detection, natural language processing for text generation and language understanding, and generative AI for synthesizing data using adversarial networks and autoencoders. It also includes
Instructor-embedding is a natural language processing framework designed to transform unstructured text into high-dimensional numerical vectors. By utilizing a transformer-based encoder architecture, the system facilitates semantic retrieval, data classification, and similarity analysis across large datasets. The framework distinguishes itself through instruction-conditioned vector projection, which incorporates natural language instructions directly into the embedding process to improve performance for specific tasks without requiring additional training. It functions as a contrastive learni
🏷 iOS11 demo application for predicting gender from first names.
Swift Core ML 3 implementations of GPT-2, DistilGPT-2, BERT, and DistilBERT for Question answering. Other Transformers coming soon!
The main features of huggingface/swift-coreml-transformers are: Language Modeling, Natural Language Models.
Open-source alternatives to huggingface/swift-coreml-transformers include: dragen1860/tensorflow-2.x-tutorials — This project is a collection of TensorFlow 2.x machine learning tutorials and practical code examples. It serves as a… xlang-ai/instructor-embedding — Instructor-embedding is a natural language processing framework designed to transform unstructured text into… ari-holtzman/degen. cocoa-ai/sentimentcoremldemo — 😃 iOS11 demo application for sentiment polarity analysis. cocoa-ai/namescoremldemo — 🏷 iOS11 demo application for predicting gender from first names. allenai/longformer — Longformer and LongformerEncoderDecoder (LED) are pretrained transformer models for long documents.