miaomiaoxiaobai,github

awd-lstm-lm

LSTM and QRNN Language Model Toolkit for PyTorch

char-rnn-tensorflow

Multi-language Char RNN for TensorFlow >= 1.2.

chinese-stock-prediction-using-weibo-baidu-news-sentiment

📈 A neural network regression model trained to predict the mean stock price percentage change everyday using financial factors like previous close price, actual previous close price, open price, market capitalization, total market value, price-to-earning ratio and price-to-book ratio, along with corresponding Sina Weibo and Baidu News sentiment scores.

chineseocr

yolo3+ocr

darknet

Convolutional Neural Networks

darknet-ocr

darknet text detect and darknet cnn ocr

datamining

learn in datamining

deep-text-recognition-benchmark

Text recognition (optical character recognition) with deep learning methods.

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

dualist

Interactive machine learning for text analysis

dysat_pytorch

Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks

ee_model

emnlp2018-jmee

This is the code for our EMNLP 2018 paper "Jointly Multiple Events Extraction via Attention-based Graph Information Aggregation"

equity-portfolio-prediction

ernie

Official implementations for various pre-training models of ERNIE-family, covering topics of Language Understanding & Generation, Multimodal Understanding & Generation, and beyond.