gengjiaqi Goto Github PK

addernet

Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"

cfsrcnn

Coarse-to-Fine CNN for Image Super-Resolution (IEEE Transactions on Multimedia,2020)

cifar10-cnn

卷积神经网络CNN在cifar10上的应用

classsr

(CVPR2021) ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic

crash-course-computer-science-chinese

:computer: 计算机速成课 | Crash Course 字幕组 (全40集 2018-5-1 精校完成)

cross-scale-non-local-attention

PyTorch code for our paper "Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining" (CVPR2020).

dali

A library containing both highly optimized building blocks and an execution engine for data pre-processing in deep learning applications

dan

This is an official implementation of Unfolding the Alternating Optimization for Blind Super Resolution

dbpn-caffe

Deep Back-Projection Networks for Super-Resolution

dbpn-pytorch

The project is an official implement of our CVPR2018 paper "Deep Back-Projection Networks for Super-Resolution" (Winner of NTIRE2018 and PIRM2018)

dbpn-tf

Implementation of Deep Back-Projection Networks For Super-Resolution using Tf and Keras

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deeplearning-models

A collection of various deep learning architectures, models, and tips

densenet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

drn

Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution

eat_tensorflow2_in_30_days

Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

edsr-keras

EDSR Super Resolution in Keras

edsr-pytorch

PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)

edsr-tensorflow

Tensorflow implementation of Enhanced Deep Residual Networks for Single Image Super-Resolution

embedded-block-residual-network

EBRN is a recursive restoration model for image super-resolution

funnelact

gradient-centralization

A New Optimization Technique for Deep Neural Networks

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

interview_internal_reference

2021年最新总结，阿里，腾讯，百度，美团，头条等技术面试题目，以及答案，专家出题人分析汇总。

ipv6-hosts

Fork of https://code.google.com/archive/p/ipv6-hosts/, focusing on automation

iresnet

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

lapsrn-tensorflow

Tensorflow implementation of the paper "Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution"

mastering-tensorflow-1x

Mastering TensorFlow 1x, published by Packt

morvanzhou.github.io

莫烦Python Website source code