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 1377
mquad / sars_tutorial
Repository for the tutorial on Sequence-Aware Recommender Systems held at TheWebConf 2019 and ACM RecSys 2018
jupyter-notebook machine-learning recommender recommender-systems rnn sequence sequence-modeling tutorial
Language:Python 341
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 274
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 203
lucidrains / gateloop-transformer
Implementation of GateLoop Transformer in Pytorch and Jax
artificial-intelligence deep-learning sequence-modeling
Language:Python 83
i404788 / s5-pytorch
Pytorch implementation of Simplified Structured State-Spaces for Sequence Modeling (S5)
pytorch s5 sequence-modeling state-space
Language:Python 56
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 52
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
48
omarperacha / TonicNet
Sequential model for polyphonic music
artificial-intelligence deep-learning generative-model music music-composition polyphony recurrent-neural-networks sequence-modeling
Language:Python 46
btnorman / First-Explore
Repo to reproduce the First-Explore paper results
meta-rl reinforcement-learning sequence-modeling
Language:Jupyter Notebook 34
bzhangGo / lrn
Source code for "A Lightweight Recurrent Network for Sequence Modeling"
recurrent-neural-network lightweight-recurrent sequence-modeling
Language:Python 25
adhaamehab / arabicnlp
Python package for Arabic natural language processing
nlp ml arabic arabic-nlp keras postagging part-of-speech-tagger sequence-modeling
Language:Python 24
a-martyn / awd-lstm
An implmentation of the AWD-LSTM in PyTorch
lstm sequence-modeling awd-lstm deep-learning machine-learning paper
Language:Jupyter Notebook 11
badass-techie / Music-Generation
Audio and Music Synthesis with Machine Learning
attention attention-mechanism attention-model audio nlp sequence-modeling transformer keras pytorch tensorflow
Language:Python 2
ketyi / Deep-2SRNN
Deep, sequential, transductive divergence metric and domain adaptation for time-series classifiers
domain-adaptation time-series deep-neural-networks gesture-recognition sequence-modeling
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
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 1
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 1
hklchung / LSTM-MusicGeneration
Generate music with LSTM model
audio lstm lstm-model music music-composition neural-network sequence-modeling sequence-models
Language:Python 1
iglee / MEME
Multiple EM for Motif Elicitation for discovering motifs in a group of related DNA or protein sequences.
sequence sequence-modeling computational-biology meme
Language:Python 1
jishnuchander / ActRecognition.ai
Human Activity Recognition using Deep Learning on Spatio-Temporal Graphs
human-activity-recognition deep-learning video-recognition sequence-modeling
Language:MATLAB 1
rssr25 / TinyML
TinyML stuff done on my Arduino Nano 33 BLE Sense
artificial-intelligence computer-science convolutional-neural-networks deep-learning edge-computing engineering machine-learning sequence-modeling tinyml
Language:C++ 1
zakimjz / VOGUE
VOGUE: Variable Order HMM with Duration
hmm varible-order-hmm higher-order-hmm sequence-modeling sequence-classification sequence-mining
Language:Python 1
Fatlonder / lstm-n
sequence modeling lstm model
lstm sequence-modeling
Language:Python 0
MvMukesh / Applied-Ai
Applied Ai (Papers, Articles & Videos, applied in production with results)
ab-testing classification computer-vision data-engineering data-quality failures natural-language-processing optimization practices regression sequence sequence-modeling validation validation-testing
0
neelimishra / semi-supervised-sequence-modeling
Computer vision tools for analyzing behavioral data, including complex event detection in videos.
python computer-vision jupyter pytorch segmentation animal-behavior sequence-modeling
Language:Python 0
Prajwal-Ramesh / NLP
sequence-modeling nlp multiclass-classification lstm gru rnn
Language:Jupyter Notebook 0
zachtheyek / autoSETI
Transformer/BERT models trained on the Breakthrough Listen Kaggle dataset.
bert kaggle natural-language-processing sequence-modeling seti transformer
Language:Jupyter Notebook 0
zachtheyek / MacMiller-NLP
Sentiment analysis performed using a pre-trained BERT model on Mac Miller's complete discography.
bert mac-miller natural-language-understanding sentiment-analysis sequence-modeling
0
AdityaYadavalli1 / RNN-and-LSTM-Modelling
Sequence classification and generation using LSTMs and RNNs
machine-learning rnn-pytorch sequence-modeling
Language:Jupyter Notebook
AM-Ankitgit / SentimentAnalysis_RNN
Perform the sentiment analysis task using Simple RNN
data-science deep-learning embeddings integer machine-learning neural-network nlp python rnn sequence-modeling tesnorflow text-classification
Language:Jupyter Notebook
badass-techie / Image-Captioning
Caption Images with Machine Learning
attention attention-mechanism autoencoder bahdanau-attention cnn-model computer-vision deep-learning efficientnet encoder-decoder-architecture keras language language-model nlp sequence-modeling tensorflow transformer
Language:Python
badass-techie / MelNet
A Generative Model for Audio in the Frequency Domain
arxiv frequency-domain machine-learning music sequence-modeling
Language:Python
frshdjfry / SeqLab
A framework for the comparative training and evaluation of statistical and deep learning models for multi-feature categorical sequence modeling, utilizing feature fusion and automated with MLflow and Optuna integration.
deep-learning gpt hyperparameter-optimization lstm machine-learning markov-models mlflow optuna pytorch transformer data-fusion experiment-automation experiment-tracker feature-fusion lstm-attention multi-features sequence-modeling sequence-to-sequence multi-dimensional-sequence-modeling variable-order-markov-models
Language:Python
iglee / smith-waterman
Implementation of Smith-Waterman local alignment model- find closest local alignments in two given amino acid sequences. BLOSUM was used as the scoring matrix.
smith-waterman-alignment dynamic-programming sequence-modeling computational-biology
Language:Python
zheng-yanan / hierarchical-deep-generative-models
A TensorFlow implementation of "Sequence Modeling with Hierarchical Deep Generative Models with Dual Memory" (published in CIKM2017).
deep-generative-model sequence-modeling memory-network hierarchical-models paper
Language:Python

sequence-modeling

raminmh / liquid_time_constant_networks

mquad / sars_tutorial

raminmh / liquid-s4

muditbhargava66 / PyxLSTM

lucidrains / gateloop-transformer

i404788 / s5-pytorch

IvLabs / Natural-Language-Processing

ewanlee / ICLR2019-RL-Papers

omarperacha / TonicNet

btnorman / First-Explore

bzhangGo / lrn

adhaamehab / arabicnlp

a-martyn / awd-lstm

badass-techie / Music-Generation

ketyi / Deep-2SRNN

nnyase / ThesisMusicGeneration

awadalaa / transact

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

hklchung / LSTM-MusicGeneration

iglee / MEME

jishnuchander / ActRecognition.ai

rssr25 / TinyML

zakimjz / VOGUE

Fatlonder / lstm-n

MvMukesh / Applied-Ai

neelimishra / semi-supervised-sequence-modeling

Prajwal-Ramesh / NLP

zachtheyek / autoSETI

zachtheyek / MacMiller-NLP

AdityaYadavalli1 / RNN-and-LSTM-Modelling

AM-Ankitgit / SentimentAnalysis_RNN

badass-techie / Image-Captioning

badass-techie / MelNet

frshdjfry / SeqLab

iglee / smith-waterman

zheng-yanan / hierarchical-deep-generative-models