Pinned Repositories
--shots
Simple, minimalistic, and task-focused application for creating screenshots. Available for LInux, MacOS, WIndows
100-Days-Of-ML-Code
100 Days of ML Coding
13_questions_of_shell
shell十三问--shell教程(markdown 版本)
2018-IJCAI-top3
This 2018 IJCAI alimama Top3 Code
aam
Active Appearance Models in C++
ABSA-PyTorch
Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析,使用PyTorch实现。
AdaptiveAttention
Implementation of "Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning"
ascii_art
Real-Time ASCII Art Rendering Library
be-a-professional-programmer
成为专业程序员路上用到的各种优秀资料、神器及框架
qqbot
QQBot: A conversation robot base on Tencent's SmartQQ
paojianghu's Repositories
paojianghu/Interview_Notes-Chinese
2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记
paojianghu/charmpy
Parallel Programming with Python
paojianghu/DeepLeague
(Open Source) Computer Vision + Deep Learning + League of Legends
paojianghu/StyleTransferTrilogy
风格迁移三部曲
paojianghu/ShuffleNet_V2_pytorch_caffe
ShuffleNet-V2 for both PyTorch and Caffe.
paojianghu/100-Days-Of-ML-Code
100 Days of ML Coding
paojianghu/iOS-Performance-Optimization
关于iOS 性能优化梳理、内存泄露、卡顿、网络、GPU、电量、 App 包体积瘦身、启动速度优化等、Instruments 高级技巧、常见的优化技能- Get — Edit
paojianghu/SIMS
Semi-parametric Image Synthesis
paojianghu/Deep-Image-Matting
Deep Image Matting
paojianghu/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15个章节,近20万字。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............ 版权所有,违权必究 Tan 2018.06
paojianghu/machine-learning-yearning
Translation of <Machine Learning Yearning> by Andrew NG
paojianghu/mace-makefile-project
makefile 交叉编译 libmace.a
paojianghu/semantic-search
Semantic search for images and words using neural networks.
paojianghu/ARKit2.0-Prototype
paojianghu/Relation-Networks-for-Object-Detection
Relation Networks for Object Detection
paojianghu/All-About-the-GAN
All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN
paojianghu/TorchFusion
A modern deep learning framework built to accelerate research and development of AI systems
paojianghu/imaterialist-furniture-2018
Kaggle competition
paojianghu/cnn_models
train with all main stream cnn models
paojianghu/2018-IJCAI-top3
This 2018 IJCAI alimama Top3 Code
paojianghu/Style_Migration_For_Artistic_Font_With_CNN
基于卷积神经网络的风格迁移,制造出带有艺术风格的字体
paojianghu/faceai
一款入门级的人脸、视频、文字检测以及识别的项目.
paojianghu/Self-Attention-GAN
Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)
paojianghu/awesome-computer-vision
A curated list of awesome computer vision resources
paojianghu/Emojinator
A simple emoji classifier for humans.
paojianghu/awesome-object-detection
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
paojianghu/FeatherCNN
FeatherCNN is a high performance inference engine for convolutional neural networks.
paojianghu/lihang_book_algorithm
致力于将李航博士《统计学习方法》一书中所有算法实现一遍
paojianghu/deeplearning_ai_books
deeplearning.ai(吴恩达老师的深度学习课程笔记及资源)
paojianghu/Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记