barebell

barebell's Stars

• tesseract-ocr/tesseract

  Tesseract Open Source OCR Engine (main repository)

  Language:C++61.7k1.7k2.6k9.5k

• scutan90/DeepLearning-500-questions

  深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

  Language:JavaScript54.6k2.2k18915.9k

• proxyee-down-org/proxyee-down

  http下载工具，基于http代理，支持多连接分块下载

  Language:Java24.9k95704.4k

• tensorflow/examples

  TensorFlow examples

  Language:Jupyter Notebook7.9k25907.4k

• amusi/Deep-Learning-Interview-Book

  深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）

  7.6k180111.3k

• GoogleCloudPlatform/python-docs-samples

  Code samples used on cloud.google.com

  Language:Jupyter Notebook7.4k4134.4k6.4k

• facebookresearch/mmf

  A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

  Language:Python5.5k114656935

• tensorflow/datasets

  TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...

  Language:Python4.3k1091.2k1.5k

• onnx/tutorials

  Tutorials for creating and using ONNX models

  Language:Jupyter Notebook3.4k130180629

• handong1587/handong1587.github.io

  Language:CSS3.1k35510988

• clovaai/CRAFT-pytorch

  Official implementation of Character Region Awareness for Text Detection (CRAFT)

  Language:Python3.1k72185876

• xiaofengShi/CHINESE-OCR

  [python3.6] 运用tf实现自然场景文字检测,keras/pytorch实现ctpn+crnn+ctc实现不定长场景文字OCR识别

  Language:Python2.9k89173961

• hwalsuklee/awesome-deep-text-detection-recognition

  A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.

  2.5k15113513

• GoogleCloudPlatform/community

  Language:Java1.9k19901.6k

• ronghuaiyang/arcface-pytorch

  Language:Python1.7k19114392

• zijundeng/pytorch-semantic-segmentation

  PyTorch for Semantic Segmentation

  Language:Python1.7k4166393

• facebookresearch/CrypTen

  A framework for Privacy Preserving Machine Learning

  Language:Python1.5k43259279

• GoogleCloudPlatform/cloudml-samples

  Cloud ML Engine repo. Please visit the new Vertex AI samples repo at https://github.com/GoogleCloudPlatform/vertex-ai-samples

  Language:Python1.5k98207857

• senlinuc/caffe_ocr

  主流ocr算法研究实验性的项目，目前实现了CNN+BLSTM+CTC架构

  Language:C++1.3k94144536

• RoyalVane/CLAN

  ( TPAMI2022 / CVPR2019 Oral ) Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation

  Language:Python294112645

• alinlab/L2T-ww

  Learning What and Where to Transfer (ICML 2019)

  Language:Python25071048

• zhenxuan00/triple-gan

  See Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN

  Language:Python22612363

• liyunsheng13/BDL

  Language:Python222115429

• jihanyang/AFN

  (ICCV'19 Best Paper Nomination) Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation

  Language:Python18541531

• FrancescoSaverioZuppichini/Tensorflow-Dataset-Tutorial

  Notebook for my medium article about how to use Dataset API in TensorFlow

  Language:Jupyter Notebook1587283

• a514514772/DISE-Domain-Invariant-Structure-Extraction

  Pytorch Implementation -- All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation, CVPR 2019

  Language:Python14551225

• hanzhaoml/MDAN

  Demo code for the MDAN paper.

  Language:Python1147619

• cedrickchee/pytorch-android

  [EXPERIMENTAL] Demo of using PyTorch 1.0 inside an Android app. Test with your own deep neural network such as ResNet18/SqueezeNet/MobileNet v2 and a phone camera.

  Language:C++10410818

• handongfeng/MNIST-center-loss

  Center loss implementation in Keras

  Language:Python413014

• zjy526223908/BTDA

  implement for paper Rethinking Domain Adaptation Blending target Domain Adaptation by Adversarial Meta Adaptation Network

  Language:Python38309