sequence-modeling

There are 1 repository under sequence-modeling topic.

raminmh / liquid_time_constant_networks
Code Repository for Liquid Time-Constant Networks (LTCs)
deep-learning liquid-neural-networks recurrent-neural-networks sequence-modeling state-space-models time-series
Language:Python 1756
raminmh / liquid-s4
Liquid Structural State-Space Models
deep-learning liquid-neural-networks neural-networks recurrent-neural-networks sequence-modeling state-space-models time-series
Language:Python 375
mquad / sars_tutorial
Repository for the tutorial on Sequence-Aware Recommender Systems held at TheWebConf 2019 and ACM RecSys 2018
tutorial jupyter-notebook recommender-systems sequence sequence-modeling rnn recommender machine-learning
Language:Python 344
PyxLSTM
muditbhargava66 / PyxLSTM
Efficient Python library for Extended LSTM with exponential gating, memory mixing, and matrix memory for superior sequence modeling.
language-modeling lstm sequence-modeling xlstm
Language:Python 300
fla-org / flame
🔥 A minimal training framework for scaling FLA models
flash-linear-attention large-language-models sequence-modeling
Language:Python 287
lucidrains / gateloop-transformer
Implementation of GateLoop Transformer in Pytorch and Jax
artificial-intelligence deep-learning sequence-modeling
Language:Python 90
i404788 / s5-pytorch
Pytorch implementation of Simplified Structured State-Spaces for Sequence Modeling (S5)
pytorch s5 sequence-modeling state-space
Language:Python 80
IvLabs / Natural-Language-Processing
Contains various architectures and novel paper implementations for Natural Language Processing tasks like Sequence Modelling and Neural Machine Translation.
nlp-machine-learning sequence-to-sequence machine-translation character-level-rnn sequence-modeling natural-language-processing
Language:Jupyter Notebook 50
omarperacha / TonicNet
Sequential model for polyphonic music
artificial-intelligence generative-model sequence-modeling music music-composition recurrent-neural-networks deep-learning polyphony
Language:Python 50
ewanlee / ICLR2019-RL-Papers
The Reinforcement-Learning-Related Papers of ICLR 2019
iclr2019 reinforcement-learning multiagent-reinforcement-learning model-free model-based-rl hierarchical-reinforcement-learning inverse-reinforcement-learning imitation-learning sequence-modeling robust-reinforcement-learning meta-learning transfer-learning intrinsic-reward online-learning
47
btnorman / First-Explore
Repo to reproduce the First-Explore paper results
meta-rl reinforcement-learning sequence-modeling
Language:Python 38
adhaamehab / arabicnlp
Python package for Arabic natural language processing
nlp ml arabic arabic-nlp keras postagging part-of-speech-tagger sequence-modeling
Language:Python 27
bzhangGo / lrn
Source code for "A Lightweight Recurrent Network for Sequence Modeling"
lightweight-recurrent recurrent-neural-network sequence-modeling
Language:Python 26
neuroagents-lab / PyTorchTNN
Temporal Neural Networks
convolutional-neural-networks neuroscience-inspired-ai recurrent-neural-networks sequence-modeling state-space-models transformer
Language:Python 20
a-martyn / awd-lstm
An implmentation of the AWD-LSTM in PyTorch
awd-lstm deep-learning lstm machine-learning paper sequence-modeling
Language:Jupyter Notebook 12
AmirhosseinHonardoust / LSTM-Time-Series-Forecasting
A hands-on project for forecasting time-series with PyTorch LSTMs. It creates realistic daily data (trend, seasonality, events, noise), prepares it with sliding windows, and trains an LSTM to make multi-step predictions. The project tracks errors with RMSE, MAE, MAPE and shows clear plots of training progress and forecast results.
data-science deep-learning forecasting lstm machine-learning mae mape multistep-forecasting portfolio-project python pytorch rmse sequence-modeling time-series time-series-forecasting
Language:Python 6
shoelim / FM_forecasting
Elucidating the Design Choice of Probability Paths in Flow Matching for Forecasting
dynamical-systems flow-matching generative-modeling pdes probabilistic-forecasting scientific-ml sequence-modeling optimal-transport
Language:Python 5
Thrillcrazyer / JustDense
Official Repository of JustDense: Just using Dense instead of Sequence Mixer for Time Series analysis
artificial-intelligence sequence-modeling time-series-analysis
Language:Python 4
emilstahl97 / Scalable-Machine-Learning-and-Deep-Learning-ID2223
The course studies fundamentals of distributed machine learning algorithms and the fundamentals of deep learning. We will cover the basics of machine learning and introduce techniques and systems that enable machine learning algorithms to be efficiently parallelized.
machine-learning-algorithms distributed-machine-learning deep-neural-networks regularized-linear-regression sequence-modeling linear-algebra
Language:Jupyter Notebook 3
rmehmood786 / Reservoir-computing-and-Echo-State-Network-ESN-
Implementation of Echo State Networks (ESN) with experiments on MNIST and ECG5000. Includes comparison with Linear Regression and analysis of weight initialization methods for time-series and classification tasks.
artificial-intelligence classification echo-state-network machine-learning mnist neural-networks pytorch recurrent-neural-networks reservoir-computing sequence-modeling time-series ecg5000
Language:Jupyter Notebook 3
Vadimbuildercxx / mamba_fast_simple
Minimal and efficient JAX implementation of the Mamba State Space Model in JAX/Flax. Inspired by 'Mamba: Linear-Time Sequence Modeling with Selective State Spaces,' this repo provides fast, scalable, and well-documented state-of-the-art sequence modeling tools.
deep-learning flax huggingface jax linear-time llm machine-learning mamba nlp sequence-modeling ssm state-space-model text-generation
Language:Python 3
0-mostafa-rezaee-0 / LSTM__Long-Short-Term-Memory
Practical implementation of Long Short-Term Memory (LSTM) networks for time series modeling and sequence prediction. Includes step-by-step notebooks, model training, evaluation, and real-world case studies.
data-science deep-learning forecasting jupyter-notebook lstm machine-learning python rnn sequence-modeling time-series
Language:Jupyter Notebook 2
awadalaa / transact
An unofficial implementation of "TransAct: Transformer-based Realtime User Action Model for Recommendation at Pinterest" in Tensorflow
deep-learning machine-learning sequence-modeling tensorflow transformers user-embeddings
Language:Python 2
badass-techie / Music-Generation
Audio and Music Synthesis with Machine Learning
attention attention-mechanism attention-model audio keras nlp pytorch sequence-modeling tensorflow transformer
Language:Python 2
jishnuchander / ActRecognition.ai
Human Activity Recognition using Deep Learning on Spatio-Temporal Graphs
human-activity-recognition deep-learning video-recognition sequence-modeling
Language:MATLAB 2
ketyi / Deep-2SRNN
Deep, sequential, transductive divergence metric and domain adaptation for time-series classifiers
deep-neural-networks domain-adaptation gesture-recognition sequence-modeling time-series
Language:Jupyter Notebook 2
nnyase / ThesisMusicGeneration
Tensorflow implementation of Long Short-Term Memory model for audio synthesis used for thesis
audio-processing deep-learning lstm python seq2seq sequence-modeling tensorflow
Language:Python 2
SatvikPraveen / Optimal-Demo-Selection-ICL
Implements and benchmarks optimal demonstration selection strategies for In-Context Learning (ICL) using LLMs. Covers IDS, RDES, Influence-based Selection, Se², and TopK+ConE across reasoning and classification tasks, analyzing the impact of example relevance, diversity, and ordering on model performance across multiple architectures.
few-shot-learning in-context-learning llm nlp prompt-engineering python reinforcement-learning demonstration-selection beam-search benchmarking evaluation information-retrieval mahine-learning reproducible-research selection-algorithms semantic-search sequence-modeling transformers meta-learning prompt-tuning
Language:Jupyter Notebook 2
aaronstevenwhite / spectrans
Modular spectral transformer implementations in PyTorch with Fourier, wavelet, and other frequency-domain operations for efficient sequence modeling
deep-learning fft neural-networks pytorch sequence-modeling spectral-methods transformers wavelets
Language:Python 1
Alireza-Motazedian / Dockerized_LSTM
Mastering LSTM Networks — A focused collection of high-impact projects for sequence modeling, time series forecasting, and pattern recognition using robust, well-documented, and production-grade code.
ai anomaly-detection data-science deep-learning forecasting lstm pytorch sequence-modeling tensorflow time-series
Language:Jupyter Notebook 1
ArevikKH / Armenian-Text-RNN-Language-Model
A simple RNN-based language model for Armenian text. This project includes preprocessing Armenian text data, tokenization, vocabulary building, sequence generation, model training using PyTorch, and Armenian text generation.
ai ai-engineer ai-engineering armenian armenian-language artificial-intelligence deep-learning natural-language-processing nlp pytorch rnn sequence-modeling text-generation
Language:Jupyter Notebook 1
ArevikKH / Text-Generation-LSTM
Scrapes and preprocesses raw text data, then trains an LSTM language model to predict and generate text sequences. Includes tokenization, vocabulary mapping, training with PyTorch, and text generation from a seed phrase for coherent output.
ai ai-engineer ai-engineering deep-learning language-model language-modeling lstm nlp pytorch sequence-modeling text-generation
Language:Jupyter Notebook 1
MUHAMMADAKMAL137 / GPU-Accelerated-Next-Word-Prediction-Using-LSTM-and-PyTorch
This repository implements a GPU-accelerated next-word prediction model using PyTorch and LSTM. It includes data preprocessing with NLTK, vocabulary creation, training on tokenized text, and generating text predictions, starting from a given input phrase.
ai deep-learning embedding language-model lstm-neural-networks natural-language-processing next-word-prediction nlp predictive-text pytorch rnn sequence-modeling text-generation tokenization gpu-accelerated-nlp
Language:Jupyter Notebook 1
NDDimension / Chopin-with-LSTMs-AI-Music-Maker
An AI model that learns and composes music in the style of Chopin using LSTM-based neural networks.
deep-learning generative-ai lstm music-ai python sequence-modeling sequence-to-sequence
Language:Jupyter Notebook 1
PeTeRr0 / attention-is-all-you-need-pytorch
Pytorch implementation of Transformer of the paper Attention Is All You Need
attention-is-all-you-need attention-mechanism deep-learning encoder-decoder language-modeling machine-learning machine-translation nlp paper-implementation pytorch self-attention sequence sequence-modeling text-generation transformer
Language:Jupyter Notebook 1
rag-fish / loto6-deeplearning
Loto6 lottery number prediction with BiLSTM + Monte Carlo Dropout (educational use)
bilstm data-science deep-learning google-colab keras loto6 lottery lottery-prediction machine-learning monte-carlo-dropout recurrent-neural-networks sequence-modeling tensorflow time-series uncertainty-estimation
Language:Jupyter Notebook 1

sequence-modeling

raminmh / liquid_time_constant_networks

raminmh / liquid-s4

mquad / sars_tutorial

muditbhargava66 / PyxLSTM

fla-org / flame

lucidrains / gateloop-transformer

i404788 / s5-pytorch

IvLabs / Natural-Language-Processing

omarperacha / TonicNet

ewanlee / ICLR2019-RL-Papers

btnorman / First-Explore

adhaamehab / arabicnlp

bzhangGo / lrn

neuroagents-lab / PyTorchTNN

a-martyn / awd-lstm

AmirhosseinHonardoust / LSTM-Time-Series-Forecasting

shoelim / FM_forecasting

Thrillcrazyer / JustDense

emilstahl97 / Scalable-Machine-Learning-and-Deep-Learning-ID2223

rmehmood786 / Reservoir-computing-and-Echo-State-Network-ESN-

Vadimbuildercxx / mamba_fast_simple

0-mostafa-rezaee-0 / LSTM__Long-Short-Term-Memory

awadalaa / transact

badass-techie / Music-Generation

jishnuchander / ActRecognition.ai

ketyi / Deep-2SRNN

nnyase / ThesisMusicGeneration

SatvikPraveen / Optimal-Demo-Selection-ICL

aaronstevenwhite / spectrans

Alireza-Motazedian / Dockerized_LSTM

ArevikKH / Armenian-Text-RNN-Language-Model

ArevikKH / Text-Generation-LSTM

MUHAMMADAKMAL137 / GPU-Accelerated-Next-Word-Prediction-Using-LSTM-and-PyTorch

NDDimension / Chopin-with-LSTMs-AI-Music-Maker

PeTeRr0 / attention-is-all-you-need-pytorch

rag-fish / loto6-deeplearning