Rnn Python Packages

rwkv

ChatRWKV is like ChatGPT but powered by RWKV (100% RNN) language model, and open source.

tsai

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

xlstm

Official repository of the xLSTM.

tracetorch

A strict, ergonomic, and powerful library for SNNs, RNNs, and SSMs in PyTorch.

rwkv-beta

ChatRWKV is like ChatGPT but powered by RWKV (100% RNN) language model, and open source.

neuralnetlib

🧠 A flexible machine & deep learning framework built from scratch using only NumPy

timeshap

TimeSHAP explains Recurrent Neural Network predictions.

pyadlml

Sklearn flavored library containing numerous Activity of Daily Livings datasets, preprocessing methods, visualizations and models.

mambular

DeepTab is a Python package that simplifies tabular deep learning by providing a suite of models for regression, classification, and distributional regression tasks. It includes models such as Mambular, TabM, FT-Transformer, TabulaRNN, TabTransformer, and tabular ResNets.

impsy

IMPSY: An Intelligent Musical Instrument Platform

tsfedl

Time Series Spatio-Temporal Feature Extraction using Deep Learning

leap-transformer

LEAP: Linear Explainable Attention in Parallel for causal language modeling with O(1) path length, and O(1) inference

nlp-uncertainty-zoo

Model zoo for different kinds of uncertainty quantification methods used in Natural Language Processing, implemented in PyTorch.

deeptab

DeepTab is a Python package that simplifies tabular deep learning by providing a suite of models for regression, classification, and distributional regression tasks. It includes models such as Mambular, TabM, FT-Transformer, TabulaRNN, TabTransformer, and tabular ResNets.

see-rnn

RNN and general weights, gradients, & activations visualization in Keras & TensorFlow

audioowl

Fast and simple music and audio analysis using RNN in Python 🕵️‍♀️ 🥁

easyesn

Python library for Reservoir Computing using Echo State Networks

rnngen

Recurrent neural network from scratch in numpy, with a custom-made word2vec

pydynet

NumPy-based Dynamic Deep Learning Framework

hippox

High-order Polynomial Projection Operators for JAX

rmdl

RMDL: Random Multimodel Deep Learning for Classification

ztlearn

zeta-lean: minimalistic python machine learning library built on top of numpy and matplotlib

wtte

WTTE-RNN a framework for churn and time to event prediction

hsss

Implementation of a Hierarchical Mamba as described in the paper: "Hierarchical State Space Models for Continuous Sequence-to-Sequence Modeling"