c-pupil's repositories
ESPCN-TensorFlow
An implementation of the Efficient Sub-Pixel Convolutional Neural Network in TensorFlow
meta_sr_tensorflow
Implementation of Meta-SR on Keras and Tensorflow 2.0
caffe
Caffe: a fast open framework for deep learning.
context_encoder_pytorch
PyTorch Implement of Context Encoders: Feature Learning by Inpainting
deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
DeepSpeechRecognition
A Chinese Deep Speech Recognition System 包括基于深度学习的声学模型和基于深度学习的语言模型
ELD
A Physics-based Noise Formation Model for Extreme Low-light Raw Denoising (CVPR 2020 Oral & TPAMI 2021)
ESPCN-pytorch
PyTorch implementation of Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network (CVPR 2016)
hipCaffe
hipCaffe: the HIP port of Caffe
kerasTfPoj
keras+tensorflow实现的各种神经网络
Meta-SR-Pytorch
Meta-SR: A Magnification-Arbitrary Network for Super-Resolution (CVPR2019)
Meta-SR-tensorflow
Super Resolution RDN and Meta-SR implementation use tf.estimator
noise-synthesis
Rethinking Noise Synthesis and Modeling in Raw Denoising (ICCV2021)
RDN-for-SR-by-keras
Residual Dense Network for Image Super-Resolution by keras
RDN-TensorFlow
A TensorFlow implementation of CVPR 2018 paper "Residual Dense Network for Image Super-Resolution".
Speech-Recognition-Via-CNN
孤立词语音识别，复旦大学计算机科学技术学院数字信号处理期末项目
super-resolution
This project shows Image Super Resolution using Deep Learning . Seven models are implemented SRCNN, FSRCNN,ESPCN, RDN, RFDN, Autoencoder and ESRGAN.
tensorflow-vgg
VGG19 and VGG16 on Tensorflow