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
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.
Common Libraries developed in "PyTorch" for different NLP tasks. Sentiment Analysis, NER, LSTM-CRF, CRF, Semantic Parsing
AI algorithm that plays Texas hold 'em poker (part of university research in imperfect information games)
A repository for my pytorch models
A general purpose, multi-variate anomaly detection algorithm using machine learning
Decoupled Neural Interfaces (Jaderberg et al. 2017) mini-package for easy integration with pytorch RNNs
Keyword spotting using RNNs + Edit distance
Official PyTorch implementation of the CVPR 2024 paper: State Space Models for Event Cameras (Spotlight).
RNN variants implementation from scratch with PyTorch 🔥
Provenance Analysis of Binary Code with RNN model.
A sentiment analysis application with an inbuilt bot that scrapes the comment section of a twitter post for generating interactive customer review insights.
Code for NeurIPS paper: https://openreview.net/forum?id=5wdvW_hI7bP
고유명사 사전 기호화를 이용한 RNN 한영 번역기
RWKV-TS: Beyond Traditional Recurrent Neural Network for Time Series Tasks
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