用于目标导向对话的大规模预训练模型

pretrained-model 开源项目推荐(39 个)
pretrained-model 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 39 个仓库PyTorch implementation of "FullSubNet: A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement."
Official Pytorch implementation of ReXNet (Rank eXpansion Network) with pretrained models
PyTorch 实现了一系列可扩展的视频变换器基准测试。
A PyTorch implementation of the 'FaceNet' paper for training a facial recognition model with Triplet Loss using the glint360k dataset. A pre-trained model using Triplet Loss is available for download.
Real-time hand pose estimation and gesture classification using TensorRT
Image Synthesis + Corgis = <3
PyTorch implementation of "Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning" with DDP and Apex AMP
Mining Discourse Markers for Unsupervised Sentence Representation Learning
Custom YOLO11m model for detecting and classifying car body damage (99% shattered glass, 96% flat tire detection accuracy)—optimized for high-capacity inference and assistive use in inspection and service workflows like BMW pre-loaner inspections.
Code and released pre-trained model for our ACL 2022 paper: "DialogVED: A Pre-trained Latent Variable Encoder-Decoder Model for Dialog Response Generation"
A python library to train Deep Neural Networks on various audio tasks using Self-Supervised backbones.
Source code of our SIGIR'24 paper titled "Leave No Patient Behind: Enhancing Medication Recommendation for Rare Disease Patients".
ALBERT trained on Mongolian text corpus
Forest Fire Detection By Convolutional Neural Network
This API utilizes a pre-trained model for emotion recognition from audio files. It accepts audio files as input, processes them using the pre-trained model, and returns the predicted emotion along with the confidence score. The API leverages the FastAPI framework for easy development and deployment.
This is an implementation of electra according to the paper {ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators}
Implemenation of Selective Kernel Networks by pytorch with pretrained weight
Flow-driven recursive skill evolution for agentic LLM orchestration.
Repository for the paper "IntelliPore: A Foundation Model for Gas Adsorption in Porous Materials".
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/pretrained-model。
- 该话题在 GitHub 上共有 39 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 3195 Star,覆盖 2 种主要语言,数据更新于 2026-11-11。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。