ucLh

ucLh's Stars

• ZhangGe6/onnx-modifier

  A tool to modify ONNX models in a visualization fashion, based on Netron and Flask.

  Language:JavaScript1.3k165

• danakt/russian-words

  List of Russian words

  47383

• VikParuchuri/surya

  OCR, layout analysis, reading order, table recognition in 90+ languages

  Language:Python13.5k847

• mindee/doctr

  docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.

  Language:Python3.8k433

• clovaai/deep-text-recognition-benchmark

  Text recognition (optical character recognition) with deep learning methods, ICCV 2019

  Language:Jupyter Notebook3.7k1.1k

• Media-Smart/vedastr

  A scene text recognition toolbox based on PyTorch

  Language:Python535100

• abdur75648/UTRNet-High-Resolution-Urdu-Text-Recognition

  UTRNet: High-Resolution Urdu Text Recognition In Printed Documents (ICDAR'23)

  Language:Python4410

• iamadamdev/bypass-paywalls-chrome

  Bypass Paywalls web browser extension for Chrome and Firefox.

  Language:JavaScript48.4k3.5k

• subake/DAPS3D

  DAPS3D: Domain Adaptive Projective Segmentation of 3D LiDAR Point Clouds

  Language:Python222

• esokolov/ml-course-hse

  Машинное обучение на ФКН ВШЭ

  Language:Jupyter Notebook3k1.1k

• SforAiDl/KD_Lib

  A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge Distillation, Pruning, and Quantization.

  Language:Python60558

• 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:Python20.3k3k

• megvii-research/FQ-ViT

  [IJCAI 2022] FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer

  Language:Python30647

• hahnyuan/PTQ4ViT

  Post-Training Quantization for Vision transformers.

  Language:Python18726

• DoubangoTelecom/ultimateALPR-SDK

  World's fastest ANPR / ALPR implementation for CPUs, GPUs, VPUs and NPUs using deep learning (Tensorflow, Tensorflow lite, TensorRT, OpenVX, OpenVINO). Multi-Charset (Latin, Korean, Chinese) & Multi-OS (Jetson, Android, Raspberry Pi, Linux, Windows) & Multi-Arch (ARM, x86).

  Language:C++625160

• guglielmocamporese/hands-segmentation-pytorch

  A repo for training and finetuning models for hands segmentation.

  Language:Python10910

• pvti/Detectron2DeepSortPlus

  :v: Detection and tracking hand from FPV: benchmarks and challenges on rehabilitation exercises dataset

  Language:Python142

• aurooj/Hand-Segmentation-in-the-Wild

  Language:MATLAB19438

• ZitongYu/DeepFAS

  🔥Deep Learning for Face Anti-Spoofing

  53566

• rougier/numpy-100

  100 numpy exercises (with solutions)

  Language:Python12.1k5.7k

• yandexdataschool/Practical_DL

  DL course co-developed by YSDA, HSE and Skoltech

  Language:Jupyter Notebook1.6k639

• rafaelpadilla/review_object_detection_metrics

  Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.

  Language:Python1.1k215

• choyingw/SynergyNet

  3DV 2021: Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry

  Language:Jupyter Notebook38057

• thohemp/6DRepNet

  Official Pytorch implementation of 6DRepNet: 6D Rotation representation for unconstrained head pose estimation.

  Language:Python54672

• ekremerakin/RealWorldOccludedFaces

  Real World Occluded Face dataset containing 3195 neutral images, 1686 sunglasses images and 678 masked images.

  Language:Python343

• yandexdataschool/deep_vision_and_graphics

  Course about deep learning for computer vision and graphics co-developed by YSDA and Skoltech.

  Language:Jupyter Notebook30193

• EASY-EAI/yolov5

  YOLOv5 in PyTorch > ONNX > CoreML > TFLite

  Language:Python17937

• rockchip-linux/rknn-toolkit

  Language:Python815174

• mattiasegu/uncertainty_estimation_deep_learning

  This repository provides the code used to implement the framework to provide deep learning models with total uncertainty estimates as described in "A General Framework for Uncertainty Estimation in Deep Learning" (Loquercio, Segù, Scaramuzza. RA-L 2020).

  Language:Python22237

• chaofengc/IQA-PyTorch

  👁️ 🖼️ 🔥PyTorch Toolbox for Image Quality Assessment, including LPIPS, FID, NIQE, NRQM(Ma), MUSIQ, TOPIQ, NIMA, DBCNN, BRISQUE, PI and more...

  Language:Python1.9k170