Liu-Lisha

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

build-web-application-with-golang

A golang ebook intro how to build a web with golang

LSTM-Neural-Network-for-Time-Series-Prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

albert_zh

A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型

CLUE

中文语言理解测评基准 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard

awesome-coding-js

用JavaScript实现的算法和数据结构，附详细解释和刷题指南

albert

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

ML-GCN

PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019.

awesome-sentiment-analysis

Reading list for Awesome Sentiment Analysis papers

multi-class-text-classification-cnn

Classify Kaggle Consumer Finance Complaints into 11 classes. Build the model with CNN (Convolutional Neural Network) and Word Embeddings on Tensorflow.

neurawkes

Source code of The Neural Hawkes Process (NIPS 2017)

time_lstm

Deep-Learning-for-Time-Series-Forecasting

This repository is designed to teach you, step-by-step, how to develop deep learning methods for time series forecasting with concrete and executable examples in Python.

sentiment_dataset

scicite

Repository for NAACL 2019 paper on Citation Intent prediction

Hierarchical-Sentiment

Hierarchical Models for Sentiment Analysis in Pytorch

go_tutorial

go tutorial source code.

ProcessSequencePrediction

NeuralPointProcess

stock-prediction-time-series-analysis

Performed time series analysis using ARIMA model in python on online retail dataset.

sciMAG2015

The Open data set linking Microsoft Academic Graph and sciMAGO's journal classification for bibliometrics studies

impact-prediction

Predict author h-index and paper citation counts on the dataset underlying Semanic Scholar

citation-count

基于 Google Scholar 的论文他引次数统计。

Citation-Count-Prediction

this repository contains the dataset and the source code for the EMNLP 2019 paper "A Neural Citation Count Prediction Model based on Peer Review Text"

Citation-Count-Prediction

We survey and compare different approaches that have been suggested in the past to solve the problem of predicting the future citation count of a scientific article after a given time interval of its publication. Further, we present a novel sequence-to-sequence learning model that outperforms current state-of-art.

patent

Evaluate the value of patents through the credits they receive

simple-exponential-smoothing

Hybrid-Wikipedia-Article-Assesment-Model

An implementation of the paper "A Hybrid Model for Quality Assessment of Wikipedia Articles" published at Proceedings of Australasian Language Technology Association Workshop, pages 4352