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lilomarry's Projects

abcnn icon abcnn

Implmentiaion of ABCNN(Attention-Based Convolutional Neural Network) on Tensorflow

ai-learn icon ai-learn

人工智能学习路线图,整理近200个实战案例与项目,免费提供配套教材,零基础入门,就业实战!包括:Python,数学,机器学习,数据分析,深度学习,计算机视觉,自然语言处理,PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

bert-bilstm-crf-ner icon bert-bilstm-crf-ner

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services

cakechat icon cakechat

CakeChat: Emotional Generative Dialog System

cc4.0 icon cc4.0

Caffe for CC4.0-Windows,简单的Caffe C++接口,方便简单

chatbot icon chatbot

一个可以自己进行训练的聊天机器人, 可以根据自己的语料,训练出自己想要的对话机器人

decomp-attn icon decomp-attn

Decomposable Attention Model for Sentence Pair Classification (from https://arxiv.org/abs/1606.01933)

deeppavlov icon deeppavlov

An open source library for building end-to-end dialog systems and training chatbots.

dgk_lost_conv icon dgk_lost_conv

dgk_lost_conv 中文对白语料 chinese conversation corpus

discourse-ablstm icon discourse-ablstm

Attention-based Bidirectional Long Short-Term Memory neural network for classification of Chinese implicit discourse relations

doc-han-att icon doc-han-att

Hierarchical Attention Networks for Chines Sentiment Classification

drlm icon drlm

A latent variable RNN model for discourse-driven language modeling

ernie icon ernie

An Implementation of ERNIE For Language Understanding (including Pre-training models and Fine-tuning tools)

gan icon gan

Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN

joint-slu-lm icon joint-slu-lm

Tensorflow implementation of joint modeling of SLU (intent & slot filling) and LM with RNNs.

machinelearning icon machinelearning

Machine learning resources,including algorithm, paper, dataset, example and so on.

mmdnn icon mmdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch and CoreML.

mt-dnn icon mt-dnn

Multi-Task Deep Neural Networks for Natural Language Understanding

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