Minimalist NMT for educational purposes
Train an LSTM to generate piano or violin/piano music.
[CVPR'24 Spotlight] The official implementation of "State Space Models for Event Cameras"
Using the Pytorch to build an image temporal prediction model of the encoder-forecaster structure, ConvGRU kernel & ConvLSTM kernel
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?"
A collection of 25+ PyTorch-compatible implementations of recurrent layers
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
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