Minimalist NMT for educational purposes
Train an LSTM to generate piano or violin/piano music.
Using the Pytorch to build an image temporal prediction model of the encoder-forecaster structure, ConvGRU kernel & ConvLSTM kernel
[CVPR'24 Spotlight] The official implementation of "State Space Models for Event Cameras"
RWKV-TS: Beyond Traditional Recurrent Neural Network for Time Series Tasks
Classification of Urban Sound Audio Dataset using LSTM-based model.
A data-driven method to calculate the Lyapunov exponent of a dynamical system employing a GRU-RNN.
Implementation of a modular, high-performance, and simplistic mamba for high-speed applications
AI algorithm that plays Texas hold 'em poker (part of university research in imperfect information games)
Unofficial PyTorch Implementation of "Were RNNs All We Needed?"
Forecast of the level of pollution in the next hour in Beijing based on historical information
Introduction to PyTorch and dynamic computation graph
A repository for my pytorch models
Keyword spotting using RNNs + Edit distance
A sentiment analysis application with an inbuilt bot that scrapes the comment section of a twitter post for generating interactive customer review insights.
Common Libraries developed in "PyTorch" for different NLP tasks. Sentiment Analysis, NER, LSTM-CRF, CRF, Semantic Parsing
Basic RNN(LSTM) implementation for regular expression languages identification
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