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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[email protected] 版权所有，违权必究 Tan 2018.06
A framework for Privacy Preserving Machine Learning
Official implementation of Character Region Awareness for Text Detection (CRAFT)
[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
See Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN
Tesseract Open Source OCR Engine (main repository)
A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.
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）
Center loss implementation in Keras
( TPAMI2022 / CVPR2019 Oral ) Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation
PyTorch for Semantic Segmentation
Code samples used on cloud.google.com
Cloud ML Engine repo. Please visit the new Vertex AI samples repo at https://github.com/GoogleCloudPlatform/vertex-ai-samples
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
Pytorch Implementation -- All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation, CVPR 2019
implement for paper Rethinking Domain Adaptation Blending target Domain Adaptation by Adversarial Meta Adaptation Network
(ICCV'19 Best Paper Nomination) Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
Tutorials for creating and using ONNX models
[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.
Notebook for my medium article about how to use Dataset API in TensorFlow