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Rnn Python Packages

Python packages with the GitHub topic rnn. Sorted by relevance, with stars and monthly downloads.
BlinkDL
rwkv

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

24K 10K 692
timeseriesAI
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

21K 6K 717
NX-AI
xlstm

Official repository of the xLSTM.

16K 2K 182
Yegor-men
tracetorch

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

6K 2 0
marcpinet
neuralnetlib

A flexible deep learning framework built from scratch using only NumPy

3K 6 1
tcsvn
pyadlml

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

2K 12 11
feedzai
timeshap

TimeSHAP explains Recurrent Neural Network predictions.

1K 198 34
basf
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.

1K 302 24
ari-dasci
tsfedl

Time Series Feature Extraction using Deep Learning

984 65 10
cpmpercussion
impsy

IMPSY: An Intelligent Musical Instrument Platform

740 27 8
OverLordGoldDragon
see-rnn

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

677 182 20
mtanghu
leap-transformer

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

637 4 1
FlashTek
kulc

Keras Utility & Layer Collection.

611 62 15
Kaleidophon
nlp-uncertainty-zoo

PyTorch Implementation of Models used for Uncertainty Estimation in Natural Language Processing.

545 55 4
kalekiu
easyesn

Python library for Reservoir Computing using Echo State Networks

503 144 41
OpenTabular
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.

492 302 24
WeltXing
pydynet

NumPy-based Dynamic Deep Learning Framework

420 87 15
dodiku
audioowl

Fast and simple music and audio analysis using RNN in Python

374 298 21
jefkine
ztlearn

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

373 40 6
kyegomez
hsss

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

366 15 2
JPGoodale
hippox

High-order Polynomial Projection Operators (HiPPO) for JAX

363 7 0
gabrielpetersson
rnngen

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

340 12 1
ragulpr
wtte

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

331 777 189
kk7nc
rmdl

RMDL: Random Multimodel Deep Learning for Classification

294 428 121
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