Aegon-Wang

Aegon-Wang's Stars

• labmlai/annotated_deep_learning_paper_implementations

  🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  Language:Python57.7k4611335.9k

• brightmart/text_classification

  all kinds of text classification models and more with deep learning

  Language:Python7.9k2991242.6k

• curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras

  iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data

  Language:Jupyter Notebook528194282

• lucasjinreal/LSTM_learn

  a implement of LSTM using Keras for time series prediction regression problem

  Language:Python21950136

• yashsmehta/personality-prediction

  Experiments for automated personality detection using Language Models and psycholinguistic features on various famous personality datasets including the Essays dataset (Big-Five)

  Language:Python19281453

• keishinkickback/Pytorch-RNN-text-classification

  Word Embedding + LSTM + FC

  Language:Python1608236

• Azure-rong/Review-Helpfulness-Prediction

  Project of automatically detecting review helpfulness. Using

  Language:Python146165155

• ashishsalunkhe/DeepSpamReview-Detection-of-Fake-Reviews-on-Online-Review-Platforms-using-DeepLearning-Architectures

  DeepSpamReview: Detection of Fake Reviews on Online Review Platforms using Deep Learning Architectures. Summer Internship project at CoreView Systems.

  Language:Jupyter Notebook611115

• liuhuanyong/ZhuguanDetection

  Chinese Subjective Dectection based on subjective knowlegebase, 中文主观性计算。基于中文主观性知识库的句子主观性评定方法。

  Language:Python563029

• Bturan19/Neural-Garch-Hybrid-Model-Implementation

  By combining GARCH(1,1) and LSTM model implementing predictions.

  Language:Jupyter Notebook551115

• fmpr/Combining-TimeSeries-TextData

  A deep learning approach for combining time-series and textual data for taxi demand prediction in event areas

  Language:Jupyter Notebook303218

• jhliu17/MCR

  Code for the paper "Multi-perspective Coherent Reasoning for Helpfulness Prediction of Multimodal Reviews" (ACL 2021)

  Language:Python15205

• jiya07/Stock-Market-Prediction-using-Numerical-and-Textual-Analysis

  Language:Jupyter Notebook13107

• mittidesai/Stock-Market-Prediction

  An attempt to predict stock market volatility, return and trading volume of tech stocks using Semantic Vectors and Google Trends, which reflects real-time popularity of search terms

  Language:Python12207

• YannisPap/Identify-Fraud-using-Machine-Learning

  Identified which Enron employees are more likely to have committed fraud using machine learning and public Enron financial and email data.

  Language:Jupyter Notebook12307

• keisukeirie/Amazon_review_helpfulness_prediction

  this is my repository for Amazon review helpfulness prediction model

  Language:Jupyter Notebook11307

• michaelsyao/equity_volatility_forecasting

  Equity Volatility Forecasting using LSTMs

  Language:Jupyter Notebook10101

• crajapax/Hierarchical-Attention-Network-for-Fraud-Detection-in-Financial-Statements

  Language:Jupyter Notebook61

• iyempissy/PositionalCNN-for-helpfulness-prediction

  Context-aware Helpfulness Prediction for Online Product Reviews

  Language:Python51

• yousoferfani/Multi-View-Networks-for-Text-Classification

  Multi-View Deep Neural Networks for Text Classification

  Language:Python54

• manthanpatel98/Restaurant-Review-Sentiment-Analysis

  Predicting Restaurant Review whether it is Positive or Negative

  Language:Jupyter Notebook4205

• shahriya1995/HousePricePrediction

  House Prediction using Both Images and Textual Information - Keras Functional API, Neural Networks, CNN

  Language:Jupyter Notebook4201

• rishabhmisra/Helpfulness-Prediction

  Prediction of helpfulness of reviews on Amazon using Amazon product review data

  Language:Python31

• karish-grover/Fake-News-Detection-using-Hierarchical-Convolutional-Attention-Network

  Fake News Detection using Hierarchical Convolutional Attention Network

  Language:Jupyter Notebook2100

• tafseer-nayeem/RHP

  [EACL 2023] - On the Role of Reviewer Expertise in Temporal Review Helpfulness Prediction.

  Language:Jupyter Notebook2100

• AndreaAlberti07/Amazon-books-reviews-ML

  Helpfulness prediction ML model. Scalable analysis with Hadoop and Spark.

  Language:Jupyter Notebook1100

• daryagah/amazon-review-helpfulness

  Predicting Review Helpfulness of Amazon Electronic Products

  Language:Jupyter Notebook1

• Raviv-Zait/Yelp-Reviews-Helpfulness-Prediction

  This project's goal is to use Neural Network models to predict Yelp reviews 'Usefulness' score

  Language:Jupyter Notebook1

• shuhanli99/Amazon-Customer-Review-Mining

  Based on smartphone reviews from Amazon, this project performs feature extraction and sentiment analysis on review text in order to predict product rating and comment helpfulness.

  Language:Jupyter Notebook1

• trishulk/Review-Helpfulness-Prediction-ML

  Helpfulness Prediction of Product Reviews Using Machine Learning.

  Language:Jupyter Notebook1101