Showing 7661-7680 of 7,682 projects
An open-source Python library that helps developers quickly build and deploy RAG-based LLM web apps.
A flexible and efficient DNN compiler that generates high-performance executable from DNN models.
A PyTorch-based framework for non-autoregressive text-to-speech synthesis, including PortaSpeech and DiffSpeech models.
A contrastive learning-based semi-supervised medical image segmentation network for surgical tools and video analysis.
A Python library for Chinese named entity recognition using a Flat-Lattice Transformer model.
An infrared object detection dataset and benchmark for few-shot learning.
Lightweight PyTorch models for real-time semantic segmentation on computer vision tasks.
This Python-based suite of tools allows developers to interact with AI services directly from their terminal.
Official implementation of the RecurrentGPT paper for interactive generation of long text using AI.
A Chinese dependency parser library that can be used for natural language processing tasks.
Sample code for Microsoft's Cognitive Speech-to-Text API, featuring custom neural voices and text-to-speech functionality.
A library for building Mixture-of-Experts (MoE) models from the LLaMA language model with continual pre-training.
PyTorch implementation of Barlow Twins, a self-supervised learning technique for computer vision tasks.
CareGPT is an open-source, medical large language model (LLM) that aims to promote the rapid development of medical LLMs.
An efficient pose estimation algorithm for video-based object detection and tracking.
Picasso is a CNN visualizer that helps developers understand and interpret convolutional neural networks.
A beautiful and easy-to-use Stable Diffusion WebUI for generating AI-powered art and images.
High-level network definitions with pre-trained weights in TensorFlow for deep learning and computer vision tasks.
CodeXL is a comprehensive tool suite that enables developers to harness the benefits of CPUs, GPUs and APUs.
An open-source platform for building and deploying ML pipelines with a focus on MLOps
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