Aapka Apna Hiphop
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Stock Market Prediction Web App Using Machine Learning And Sentiment Analysis | 460 | 3 months ago | 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 | ||||||||||
| Crypto Predict | 29 | 8 months ago | 14 | mit | Jupyter Notebook | |||||
| A dockerized prediction API for crypto. | ||||||||||
| Voice_chatbot | 26 | 4 years ago | 1 | other | Python | |||||
| Chatbot in russian with speech recognition using PocketSphinx and speech synthesis using RHVoice. The AttentionSeq2Seq model is used. Imlemented using Python3+TensorFlow+Keras. | ||||||||||
| Keras Sentiment Analysis Web Api | 24 | 6 years ago | mit | Python | ||||||
| Web api built on flask for keras-based sentiment analysis using Word Embedding, RNN and CNN | ||||||||||
| Lstmrnnstockr | 24 | 7 years ago | 1 | Python | ||||||
| (1) LSTM-RNN stock prices (historical closing precies of S&P500) prediction using keras with tensorflow. (2) Experiments APIs on the network's hyper-parameters are provided through './mmodel/experiment.py'. (3) a website is built using this prediction model as engine with Flask and MySQL. | ||||||||||
| Spectrum | 20 | 3 years ago | mit | Python | ||||||
| Spectrum is an AI that uses machine learning to generate Rap song lyrics | ||||||||||
| Aarogya Bot | 17 | 10 months ago | 6 | Jupyter Notebook | ||||||
| First Prize Winner in HackOff-3.0 Siemens Healthineers Problem Statement number 3 on designing a Medical Chatbot. | ||||||||||
| Shakespeare Lstm | 17 | 7 years ago | 1 | mit | HTML | |||||
| a Keras neural network trained to write Shakespearean sonnets, with a Flask web interface | ||||||||||
| Analyze Turkish Sentiment | 11 | 4 years ago | gpl-3.0 | Python | ||||||
| Sentiment Analysis on Turkish Texts using LSTM with Keras | ||||||||||
| Automatic Image Captioning Using Cnn Lstm Deep Neural Networks And Flask | 11 | 3 years ago | 4 | mit | Python | |||||
| Image caption generation has emerged as a challenging and important research area following ad-vances in statistical language modelling and image recognition. The generation of captions from images has various practical benefits, ranging from aiding the visually impaired, to enabling the automatic and cost-saving labelling of the millions of images uploaded to the Internet every day. The field also brings together state-of-the-art models in Natural Language Processing and Computer Vision, two of the major fields in Artificial Intelligence. In this model, we has used CNN and LSTM to generate captions for the images and deployed our model using Flask. | ||||||||||
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