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gejamin's Projects

catgan icon catgan

Codes for Category-aware Generative Adversarial Networks (AAAI 2020)

cnn-audio-denoiser icon cnn-audio-denoiser

Tensorflow 2.0 implementation of the paper: A Fully Convolutional Neural Network for Speech Enhancement

cvae icon cvae

Conditional variational autoencoder implementation in Torch

ddns icon ddns

:triangular_flag_on_post: 自动更新域名解析到本机IP(支持dnspod,阿里DNS,CloudFlare,华为云,DNSCOM...)

dga icon dga

A neural network model implemented in MATLAB to predict various faults in transformers using Dissolved Gas Analysis.

dncnn icon dncnn

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)

eda_nlp icon eda_nlp

Data augmentation for NLP, presented at EMNLP 2019

eda_nlp_for_chinese icon eda_nlp_for_chinese

An implement of the paper of EDA for Chinese corpus.中文语料的EDA数据增强工具。NLP数据增强。论文阅读笔记。

face_recognition icon face_recognition

The world's simplest facial recognition api for Python and the command line

goproxy icon goproxy

Proxy is a high performance HTTP(S) proxies, SOCKS5 proxies,WEBSOCKET, TCP, UDP proxy server implemented by golang. Now, it supports chain-style proxies,nat forwarding in different lan,TCP/UDP port forwarding, SSH forwarding.Proxy是golang实现的高性能http,https,websocket,tcp,socks5代理服务器,支持内网穿透,链式代理,通讯加密,智能HTTP,SOCKS5代理,黑白名单,限速,限流量,限连接数,跨平台,KCP支持,认证API。

hmmlearn icon hmmlearn

Hidden Markov Models in Python, with scikit-learn like API

it_book icon it_book

本项目收藏这些年来看过或者听过的一些不错的常用的上千本书籍,没准你想找的书就在这里呢,包含了互联网行业大多数书籍和面试经验题目等等。有人工智能系列(常用深度学习框架TensorFlow、pytorch、keras。NLP、机器学习,深度学习等等),大数据系列(Spark,Hadoop,Scala,kafka等),程序员必修系列(C、C++、java、数据结构、linux,设计模式、数据库等等)

keras-textclassification icon keras-textclassification

中文长文本分类、短句子分类、多标签分类、两句子相似度(Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short),字词句向量嵌入层(embeddings)和网络层(graph)构建基类,FastText,TextCNN,CharCNN,TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN

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