Minimalist NMT for educational purposes
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Updated
Jan 29, 2024 - Python
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
Official PyTorch implementation of the CVPR 2024 paper: State Space Models for Event Cameras (Spotlight).
Classification of Urban Sound Audio Dataset using LSTM-based model.
RWKV-TS: Beyond Traditional Recurrent Neural Network for Time Series Tasks
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
Neural Networks for Neuroscience Tasks
AI algorithm that plays Texas hold 'em poker (part of university research in imperfect information games)
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
Common Libraries developed in "PyTorch" for different NLP tasks. Sentiment Analysis, NER, LSTM-CRF, CRF, Semantic Parsing
A sentiment analysis application with an inbuilt bot that scrapes the comment section of a twitter post for generating interactive customer review insights.
Implementing Bayes by Backprop with PyTorch. Applied on time-series prediction.
Basic RNN(LSTM) implementation for regular expression languages identification
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