Liu-Lisha

Liu-Lisha's Stars

• cedias/Hierarchical-Sentiment

  Hierarchical Models for Sentiment Analysis in Pytorch

  Language:Python10821

• Sam131112/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

  Language:Python1

• declare-lab/awesome-sentiment-analysis

  Reading list for Awesome Sentiment Analysis papers

  51696

• RUCAIBox/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"

  104

• ConardLi/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

  3.2k512

• jiegzhan/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.

  Language:Python428200

• huggingface/transformers

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

  Language:Python128k25.5k

• brightmart/albert_zh

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

  Language:Python3.9k758

• CLUEbenchmark/CLUE

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

  Language:Python3.9k541

• AcademiaSinicaNLPLab/sentiment_dataset

  Language:Python11855

• google-research/albert

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

  Language:Python3.2k571

• allenai/scicite

  Repository for NAACL 2019 paper on Citation Intent prediction

  Language:Python11117

• megvii-research/ML-GCN

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

  Language:Python1.4k346

• jaungiers/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

  Language:Python4.7k1.9k

• Geo-Joy/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.

  14272

• hungph-dev-ict/simple-exponential-smoothing

  Language:Python1

• sarangkartikey50/stock-prediction-time-series-analysis

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

  Language:Python4118

• verenich/ProcessSequencePrediction

  Language:Python9953

• astaxie/build-web-application-with-golang

  A golang ebook intro how to build a web with golang

  Language:Go43.1k10.7k

• Q1mi/go_tutorial

  go tutorial source code.

  Language:Go10349

• scimag/sciMAG2015

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

  Language:CSS296

• dunan/NeuralPointProcess

  Language:C++8336

• sreekarcheg/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.

  Language:Python85

• Lucaweihs/impact-prediction

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

  Language:Python2610

• ZJULearning/time_lstm

  Language:Python15260

• PeixianChen/citation-count

  基于 Google Scholar 的论文他引次数统计。

  Language:Python131

• xiaoshuai09/patent

  Evaluate the value of patents through the credits they receive

  Language:Python83

• hongyuanmei/neurawkes

  Source code of The Neural Hawkes Process (NIPS 2017)

  Language:Python20851