Minimalist NMT for educational purposes
- Updated
Jan 29, 2024 - Python
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"
RWKV-TS: Beyond Traditional Recurrent Neural Network for Time Series Tasks
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.
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
Clean, documented implementations of PPO-based algorithms for cooperative multi-agent reinforcement learning, focusing on SMAC environments. Features MLP and RNN-based MAPPO with various normalization techniques.
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
Add a description, image, and links to the rnn-pytorch topic page so that developers can more easily learn about it.
To associate your repository with the rnn-pytorch topic, visit your repo's landing page and select "manage topics."