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-latex

adnet

ADNet Implementation using Tensorflow

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

awesome-interview

架构，资深程序专家面试题

benchmark_results

Visual Tracking Paper List

boxgrab-assistant

coding-for-bat

coding-interview-university

A complete computer science study plan to become a software engineer.

compressai

A PyTorch library and evaluation platform for end-to-end compression research

compression

Data compression in TensorFlow

computer-science-flash-cards

Mini website for testing both general CS knowledge and enforce coding practice and common algorithm/data structure memorization.

cpp_primer_answers

《C++ Primer》第五版中文版习题答案

cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++

deepcc

Multi-Target, Multi-Camera Tracking

deeplearning-500-questions

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

deeplearning_cv_notes

:notebook: deepleaning notes.

dists

Deep Image Structure and Texture Similarity (DISTS) Metric

dl-project-template

深度学习工程模板

dped

Software and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks

dsslic

DSSLIC: Deep Semantic Segmentation-based Layered Image Compression

fairmot

A simple baseline for one-shot multi-object tracking

generative-compression

TensorFlow Implementation of Generative Adversarial Networks for Extreme Learned Image Compression

helloflask

Flask Web 开发实战

high-fidelity-generative-compression

Pytorch implementation of High-Fidelity Generative Image Compression + Routines for neural image compression

iblog

image

save the image for Markdown

image-compression

There are some papers about image compression

image-compression-based-gmm-and-attention-module

image-compression-cnn

Semantic JPEG image compression using deep convolutional neural network (CNN)

imgcomp-cvpr

TensorFlow implementation of Conditional Probability Models for Deep Image Compression, published in CVPR 2018