📚 免费的计算机编程类中文书籍，欢迎投稿

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

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

Ancient Chinese character recognition WeChat applet server

Modify from https://github.com/ankush-me/SynthText.git to generate chinese character

PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"

A super-resolution dataset of paired LR-HR scene text images

A PyToch implementation of "Real-time Scene Text Detection with Differentiable Binarization".

Deep Adaptive Inference Networks for Single Image Super-Resolution

《机器学习实战》的python3源码

研究生数学建模，本科生数学建模、数学建模竞赛优秀论文，数学建模算法，LaTeX论文模板，算法思维导图，参考书籍，Matlab软件教程，PPT

CS172 Final project: Text Image Super-Resolution Reconstruction

ASTER in Pytorch

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

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

A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"

Latex code for making neural networks diagrams

Meta-SR: A Magnification-Arbitrary Network for Super-Resolution (CVPR2019)

Pytorch implementation of the DeepDream computer vision algorithm

Source File of My Book related to WebSpider

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

Neural Style and MSG-Net

Application of SRGAN to text images for improving OCR accuracy

A lightweight and modular front-end framework for developing fast and powerful web interfaces