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Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)
Introduction to Deep Neural Networks with Keras and Tensorflow
BigDL: Distributed TensorFlow, Keras and PyTorch on Apache Spark/Flink & Ray
The state-of-the-art image restoration model without nonlinear activation functions.
? Monitor deep learning model training and hardware usage from your mobile phone ?
Hyperparameter Experiments with TensorFlow and Keras
High Quality Monocular Depth Estimation via Transfer Learning
[CVPR 2021] Multi-Stage Progressive Image Restoration. SOTA results for Image deblurring, deraining, and denoising.
The official implementation of IJCV & BMVC 2022 paper "One-Pot Multi-frame Denoising".
Learn deep learning with tensorflow2.0, keras and python through this comprehensive deep learning tutorial series. Learn deep learning from scratch. Deep learning series for beginners. Tensorflow tutorials, tensorflow 2.0 tutorial. deep learning tutorial python.
This project contains examples which demonstrate how to deploy analytic models to mission-critical, scalable production environments leveraging Apache Kafka and its Streams API. Models are built with Python, H2O, TensorFlow, Keras, DeepLearning4 and other technologies.