EverestRs

EverestRs's Stars

• huggingface/pytorch-image-models

  The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

  Language:Python32.8k3189474.8k

• opendatalab/MinerU

  A high-quality tool for convert PDF to Markdown and JSON.一站式开源高质量数据提取工具，将PDF转换成Markdown和JSON格式。

  Language:Python23.1k1197881.7k

• lucidrains/vit-pytorch

  Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

  Language:Python21.3k1562693.1k

• stanford-oval/storm

  An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.

  Language:Python15.5k1161581.4k

• optuna/optuna

  A hyperparameter optimization framework

  Language:Python11.2k1171.7k1.1k

• AILab-CVC/YOLO-World

  [CVPR 2024] Real-Time Open-Vocabulary Object Detection

  Language:Python4.9k45494471

• huawei-noah/Efficient-AI-Backbones

  Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

  Language:Python4.1k54273711

• DingXiaoH/RepVGG

  RepVGG: Making VGG-style ConvNets Great Again

  Language:Python3.4k37116435

• HobbitLong/RepDistiller

  [ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods

  Language:Python2.2k1757401

• facebookresearch/ConvNeXt-V2

  Code release for ConvNeXt V2 model

  Language:Python1.6k775120

• ZhugeKongan/torch-template-for-deep-learning

  Pytorch Implementations of large number classical backbone CNNs, data enhancement, torch loss, attention, visualization and some common algorithms.

  Language:Python1.1k92190

• AILab-CVC/UniRepLKNet

  [CVPR'24] UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image Recognition

  Language:Python962132056

• DingXiaoH/RepLKNet-pytorch

  Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs (CVPR 2022)

  Language:Python884105886

• AlibabaResearch/efficientteacher

  A Supervised and Semi-Supervised Object Detection Library for YOLO Series

  Language:Python84867152151

• apple/ml-mobileone

  This repository contains the official implementation of the research paper, "An Improved One millisecond Mobile Backbone".

  Language:Swift741172263

• optuna/optuna-examples

  Examples for https://github.com/optuna/optuna

  Language:Python706875178

• optuna/optuna-dashboard

  Real-time Web Dashboard for Optuna.

  Language:TypeScript549818391

• ZhugeKongan/Attention-mechanism-implementation

  Self-attention、Non-local、SE、SK、CBAM、DANet

  Language:Python4563171

• Jiawei-Yang/Denoising-ViT

  This is the official code release for our work, Denoising Vision Transformers.

  Language:Python33918129

• opendatalab/UniMERNet

  UniMERNet: A Universal Network for Real-World Mathematical Expression Recognition

  Language:Python23772821

• ZHUANGHP/Analytic-continual-learning

  This repository will be posting analytic continual learning series, including Analytic Class-Incremental Learning (ACIL), Gaussian Kernel Embedded Analytic Learning (GKEAL), Dual-Stream Analytic Learning (DS-AL), etc.

  Language:Python2164919

• ChengpengChen/RepGhost

  RepGhost: A Hardware-Efficient Ghost Module via Re-parameterization

  Language:Python17331416

• wangwen-whu/WTW-Dataset

  This is an official implementation for the WTW Dataset in "Parsing Table Structures in the Wild " on table detection and table structure recognition.

  Language:Python16662315

• MathamPollard/awesome-table-structure-recognition

  A Curated List of Awesome Table Structure Recognition (TSR) Research. Including models, papers, datasets and codes. Continuously updating.

  153837

• apple/ml-autofocusformer

  This is an official implementation for "AutoFocusFormer: Image Segmentation off the Grid".

  Language:Python12110011

• xinghaochen/SLAB

  [ICML 2024] Official PyTorch implementation of "SLAB: Efficient Transformers with Simplified Linear Attention and Progressive Re-parameterized Batch Normalization"

  Language:Python85396

• laonafahaodange/RepRFN

  Reparameterized Residual Feature Network For Lightweight Image Super-Resolution

  Language:Python45338

• whn09/table_structure_recognition

  Table detection (TD) and table structure recognition (TSR) using Yolov5/Yolov8, and you can get the same (even better) result compared with Table Transformer (TATR) with smaller models.

  Language:Jupyter Notebook4441312

• suous/RepNeXt

  RepNeXt: A Fast Multi-Scale CNN using Structural Reparameterization

  Language:Python33312

• liwei109/SepViT

  SepViT: Separable Vision Transformer

  Language:Python8222