topgunforone,github

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch. Based on code of https://github.com/karpathy/char-rnn. Support Chinese and other things.

char_rnn_karpathy_keras

Language modellling using RNNs

chinese-ocr

运用tensorflow实现自然场景文字检测,keras/pytorch实现crnn+ctc实现不定长中文OCR识别

cnn-relationextraction

Convolution neural network for relation extraction between two given entities

colossalai

Making large AI models cheaper, faster and more accessible

crf

keras implementation of conditional random field

cs224d

The answer of Stanford cs224d course assignments

deep-learning-and-practices

Version control for my deep learning course.

deepdive_chinese

DeepDive 中文配置

deeplearningflappybird

Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).

deepqa

My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot

dynamic-seq2seq

seq2seq中文聊天机器人

fasttext

Library for fast text representation and classification.

gcforest

This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'

gensim

Topic Modelling for Humans

glove

:earth_americas: Compute Glove vectors using a co-occurence matrix

groundhog

Library for implementing RNNs with Theano

hidden-markov-model

First order HMM with Viterbi, Forward-Backward and Baum-Welch implementations

information-extraction-chinese

Chinese Named Entity Recognition with IDCNN/biLSTM+CRF, and Relation Extraction with biGRU+2ATT 中文实体识别与关系提取

jieba

结巴中文分词

keras

Deep Learning for humans

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