Showing 561-580 of 616 projects
A flexible and powerful library to develop your own Transformer variants for AI/ML applications.
SETR is a transformer-based approach for rethinking semantic segmentation from a sequence-to-sequence perspective.
AI-powered data enrichment tool that transforms emails into rich datasets with company profiles, funding data, tech stacks, and more.
EfficientFormer is a deep learning model for efficient image segmentation and object detection.
A TypeScript library with custom import directives for loading and transforming images.
A Chinese medical consultation large language model for healthcare professionals and researchers.
Official PyTorch implementation of a scalable transformer-based generative model for image generation and manipulation.
Unofficial PyTorch implementation of the Conformer model for speech recognition tasks.
DataDreamer is a Python library for generating synthetic data, fine-tuning and aligning large language models.
Android document scanning library built on OpenCV, allowing cropping and perspective transformation of scanned documents.
A simple PyTorch implementation of the Transformer model, useful for AI/ML developers.
Official implementation of SAM-Med2D, a tool for medical image segmentation using transformers.
A PyTorch implementation of the original Transformer model with interactive visualizations.
Paddle.js is a web project for the Baidu PaddlePaddle deep learning framework, enabling browser-based inference.
Powerful SOTA computer vision model for various image enhancement tasks like denoising, deblurring, and more.
Rotary Transformer, a Python library for Transformer models that incorporates rotary position encoding.
A native Golang ETL streaming parser and transform library for CSV, JSON, XML, EDI, and more.
An implementation of Graph Transformer Networks, a neural network architecture for graph-structured data.
Transform your content into type-safe data collections for use in web applications.
A tutorial course for building AI-powered applications using Stable Diffusion and PyTorch.
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