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The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919
Train transformer language models with reinforcement learning.
stock股票.获取股票数据,计算股票指标,筹码分布,识别股票形态,综合选股,选股策略,股票验证回测,股票自动交易,支持PC及移动设备。
Graph Neural Network Library for PyTorch
PyTorch android examples of usage in applications
SoftVC VITS Singing Voice Conversion
This is the official repository for our recent work: PIDNet
Nearly Perfect & Easily Understandable PyTorch Implementation of SKNet
Code for our CVPR 2019 paper: Selective Kernel Networks; See zhihu：https://zhuanlan.zhihu.com/p/59690223
(IJCV2024 & ICCV2023) LSKNet: A Foundation Lightweight Backbone for Remote Sensing
YOLOv10: Real-Time End-to-End Object Detection [NeurIPS 2024]
记录cv算法工程师的成长之路，分享计算机视觉和模型压缩部署技术栈笔记。https://harleyszhang.github.io/cv_note/
cartoon/comics/manga colorization 漫画本子卡通上色
An amazing manga comic colorization project | 漫画 AI 上色
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
This repository contains the official implementation of the research paper, "FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization" ICCV 2023
Implementation of ConvMixer for "Patches Are All You Need? 🤷"
Efficient vision foundation models for high-resolution generation and perception.
[NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"
Inpaint anything using Segment Anything and inpainting models.
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Refine high-quality datasets and visual AI models
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch