predicting country of origin from names
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Updated
Jul 6, 2022 - Python
predicting country of origin from names
RAF: A RNN-based Chatbot Development Tool
基于pytorch的RNN、LSTM模型构建,RNN进行MNIST数据集分类,LSTM进行古诗生成
Neural Networks for Neuroscience Tasks
Predict whether the number of confirmed people will increase or not with the use of RNN.
Retrieved financial institutions data using Twitter’s API, created a database, and performed pre-processing of this data • Created an AI module which classified each tweet into three different sentiment groups: Positive, Negative and Neutral Developed a POC which predicted the stock price of these financial institutions based on the different se…
A fully playable snake game application that features an intelligent agent trained using Deep Recurrent Q-Learning
RNN-based generator of Polish-like words
Pun Detection and Interpretation: a RNN with LSTM cell approach
Research code used to study learning dynamics of RNN language models
A Twitter bot designed to automatically generate tweets of the How I met your mother TV show.
A character-level LSTM is constructed with PyTorch to generate a horror plot on the occasion of Halloween. The network will train character by character on some text, then generate new text character by character.
Unsupervised Kalman Gain Estimation forked from KalmanNet repo (EUSIPCO 2022)
Predicting a patient's SOFA score for the next 24 or 48 hours
identify the language of a given word
RNN-based security patch identification with oversampling samples. This is an extension code in the MILCOM'21 paper "PatchRNN: A Deep Learning-Based System for Security Patch Identification".
nlp intro project
A novel prediction using RNN model with torch.
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