Getting Things Done With Pytorch Alternatives

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.
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Alternatives To curiousily/Getting-Things-Done-with-Pytorch
Project Name Stars Downloads Repos Using This Packages Using This Most Recent Commit Total Releases Latest Release Open Issues License Language
bentrevett/pytorch-sentiment-analysis 4,133 0 0 about 2 years ago 0 3 mit Jupyter Notebook
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
abdulfatir/twitter-sentiment-analysis 1,322 0 0 about 3 years ago 0 20 mit Python
Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.
curiousily/Getting-Things-Done-with-Pytorch 873 0 0 almost 5 years ago 0 13 apache-2.0 Jupyter Notebook
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.
adeshpande3/LSTM-Sentiment-Analysis 844 0 0 almost 7 years ago 0 20 mit Jupyter Notebook
Sentiment Analysis with LSTMs in Tensorflow
stanfordnlp/treelstm 782 0 0 over 8 years ago 0 9 gpl-2.0 Lua
Tree-structured Long Short-Term Memory networks (http://arxiv.org/abs/1503.00075)
linguishi/chinese_sentiment 463 0 0 over 3 years ago 0 7 Python
中文情感分析,CNN,BI-LSTM,文本分类
kaushikjadhav01/Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis 460 0 0 about 2 years ago 0 21 mit Python
Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall
BUPTLdy/Sentiment-Analysis 296 0 0 almost 8 years ago 0 13 Python
Chinese Shopping Reviews sentiment analysis
pmsosa/CS291K 272 0 0 about 8 years ago 0 0 Python
🎭 Sentiment Analysis of Twitter data using combined CNN and LSTM Neural Network models
ZhengZixiang/ABSAPapers 268 0 0 almost 4 years ago 0 2
Worth-reading papers and related awesome resources on aspect-based sentiment analysis (ABSA). 值得一读的方面级情感分析论文与相关资源集合
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