Showing 181-200 of 240 projects
Apache Jena is a free and open-source Java framework for building Semantic Web and Linked Data applications.
Research paper on domain adaptation and semantic-consistent transfer learning for computer vision.
A GitHub Action that ensures your pull request title matches the Conventional Commits specification.
Generates clean, semantic Javascript tests in a few clicks for accessibility-first GUI
A testing library for Blazor components that makes component tests look, feel, and run like regular unit tests.
ELLA: A Python library that equips diffusion models with large language models for enhanced semantic alignment.
A local-first semantic code search engine that uses AI-powered embeddings and vector databases to enable fast, precise code search.
A state-of-the-art discrete acoustic codec model for audio language modeling with 40/75 tokens per second.
A PyTorch implementation of the DeepLab v3+ semantic segmentation model, allowing developers to train their own models.
Generic Neural Elastic Search, a cloud-native semantic search system based on deep neural network.
Protege Desktop is a free, open-source ontology editor and knowledge-base framework for building intelligent systems.
An official MCP server implementation for the Qdrant vector search platform, enabling AI coding tools integrations.
DeepLab-ResNet reimplementation in TensorFlow for semantic image segmentation.
StableVITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-On
A Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation
A robust, efficient, and adaptable toolkit for segmenting text into sentences or other semantic units.
This repository provides hands-on examples and guidance for building, training, deploying and maintaining deep learning models in production.
Official implementation of a PyTorch-based library for semantic keypoint detection and pose estimation.
PaddleViT is a state-of-the-art Visual Transformer and MLP model library for the PaddlePaddle 2.0+ deep learning framework.
Automate semantic versioning and release notes generation for GitHub pull requests.
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