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GitHub topics: sequence-modeling

sebastian2005-RP/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.

Language: Jupyter Notebook - Size: 329 KB - Last synced at: about 7 hours ago - Pushed at: about 9 hours ago - Stars: 0 - Forks: 0

zahra745/Vision2Geo

Tracking Geographic Coordinates

Size: 4.88 KB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 0 - Forks: 0

DeboJp/text-to-music

An LSTM-based model that maps text desc. to MIDI by predicting note pitches and durations. It includes automated dataset generation from mood–note pairs, sequence preprocessing, supervised training in PyTorch, and music rendering with PrettyMIDI.

Language: Python - Size: 89.8 KB - Last synced at: 14 days ago - Pushed at: 15 days ago - Stars: 0 - Forks: 0

thomionline27/LLADA_pretraining

📚 Pretrain LLaDA models efficiently with our text pretraining framework, featuring distributed training support and easy configuration options.

Language: Python - Size: 90.8 KB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 0 - Forks: 0

nimuraa/Vision2Geo

🌍 Transform images into geographical data, enabling precise location analysis and enhancing spatial awareness for various applications.

Size: 1.95 KB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 0 - Forks: 0

Thrillcrazyer/JustDense

Official Repository of JustDense: Just using Dense instead of Sequence Mixer for Time Series analysis

Language: Python - Size: 354 KB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 0 - Forks: 0

lucidrains/gateloop-transformer

Implementation of GateLoop Transformer in Pytorch and Jax

Language: Python - Size: 34.4 MB - Last synced at: 6 days ago - Pushed at: about 1 year ago - Stars: 90 - Forks: 10

raskolnikoff/loto6-deeplearning

Loto6 lottery number prediction with BiLSTM + Monte Carlo Dropout (educational use)

Language: Jupyter Notebook - Size: 13.7 KB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 1 - Forks: 0

muditbhargava66/PyxLSTM

Efficient Python library for Extended LSTM with exponential gating, memory mixing, and matrix memory for superior sequence modeling.

Language: Python - Size: 120 KB - Last synced at: 12 days ago - Pushed at: about 1 year ago - Stars: 294 - Forks: 27

shirozenfeld/LyricNet-Generative-Songwriting-with-LSTM-and-MIDI-Context

Generate emotionally coherent song lyrics from melodies using deep learning. Combines LSTM-based language modeling with static and time-aligned MIDI features.

Language: Python - Size: 12.1 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

theSohamTUmbare/Image-Captioning-in-Pytorch

Implementing LSTM powered image captioning in pytorch from scratch

Language: Jupyter Notebook - Size: 7.17 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

olliverzinhor/PyTorchTNN

Develop temporal neural networks easily with PyTorchTNN. Explore our tools for building TNNs and enhancing the Encoder-Attender-Decoder architecture. 🐱💻🌟

Language: Python - Size: 998 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

neuroagents-lab/PyTorchTNN

Language: Python - Size: 261 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

adhaamehab/arabicnlp 📦

Python package for Arabic natural language processing

Language: Python - Size: 15.8 MB - Last synced at: 12 days ago - Pushed at: about 6 years ago - Stars: 27 - Forks: 5

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.

Language: Jupyter Notebook - Size: 5.04 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

aminKMT/RNN-LastMile

PyTorch LSTM notebooks for last-mile delivery ETA prediction.

Language: Jupyter Notebook - Size: 64.5 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

ezautorres/Advanced-Deep-Learning-CIMAT

Deep learning for time series, forecasting, and scientific simulations

Language: Jupyter Notebook - Size: 39.8 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 1.46 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

i404788/s5-pytorch

Pytorch implementation of Simplified Structured State-Spaces for Sequence Modeling (S5)

Language: Python - Size: 57.6 KB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 77 - Forks: 3

fla-org/flame

🔥 A minimal training framework for scaling FLA models

Language: Python - Size: 226 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 166 - Forks: 22

raminmh/liquid-s4

Liquid Structural State-Space Models

Language: Python - Size: 2.12 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 358 - Forks: 61

zahramh99/next-word-prediction

Next Word Prediction means predicting the most likely word or phrase that will come next in a sentence or text. It's used in applications like messaging apps, search engines, and virtual assistants.

Language: Python - Size: 6.84 KB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

raminmh/liquid_time_constant_networks

Code Repository for Liquid Time-Constant Networks (LTCs)

Language: Python - Size: 3.87 MB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 1,676 - Forks: 310

JYyangming02/Convolutional-Recurrent-Architectures

Exploring convolutional and recurrent neural network architectures for sequence modeling and classification tasks.

Language: Python - Size: 38.8 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 3.22 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

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.

Language: Jupyter Notebook - Size: 332 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

Mark-La1905/signal-in-the-noise-lottery-trained

A deep cognition temporal aware pattern finder trained on chaos

Language: Python - Size: 0 Bytes - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

IvLabs/Natural-Language-Processing

Contains various architectures and novel paper implementations for Natural Language Processing tasks like Sequence Modelling and Neural Machine Translation.

Language: Jupyter Notebook - Size: 45 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 50 - Forks: 10

awadalaa/transact

An unofficial implementation of "TransAct: Transformer-based Realtime User Action Model for Recommendation at Pinterest" in Tensorflow

Language: Python - Size: 164 KB - Last synced at: 1 day ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

tinh2044/AWESOME-NLP-PAPERS

A curated collection of NLP research papers, models, datasets, and tools covering fundamentals, advanced techniques, and real-world applications. 🚀

Size: 143 KB - Last synced at: 23 days ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

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.

Language: Jupyter Notebook - Size: 604 MB - Last synced at: 6 months ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 2

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.

Language: Python - Size: 10.7 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

mquad/sars_tutorial

Repository for the tutorial on Sequence-Aware Recommender Systems held at TheWebConf 2019 and ACM RecSys 2018

Language: Python - Size: 61.5 MB - Last synced at: 4 months ago - Pushed at: over 4 years ago - Stars: 343 - Forks: 99

btnorman/First-Explore

Repo to reproduce the First-Explore paper results

Language: Python - Size: 489 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 36 - Forks: 2

iboudhaine/LRA-Image-Classification-on-Sequences-of-Pixels

Benchmarking sequence-based models on CIFAR-10 for the LRA benchmark. Implemented and evaluated models like TrellisNet, LipschitzRNN, PiT, Nyströmformer, and FNet for image classification

Language: Jupyter Notebook - Size: 192 KB - Last synced at: about 1 month ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

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.

Language: Python - Size: 55.8 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

sajontahsen/ieee-mipr-video-classification-challenge

3rd Place Solution for 2nd AVA Challenge@IEEE MIPR 2024

Language: Jupyter Notebook - Size: 1.11 MB - Last synced at: 10 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

MvMukesh/Applied-Ai

Applied Ai (Papers, Articles & Videos, applied in production with results)

Size: 126 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

AM-Ankitgit/SentimentAnalysis_RNN

Perform the sentiment analysis task using Simple RNN

Language: Jupyter Notebook - Size: 5.86 KB - Last synced at: 2 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

neelimishra/semi-supervised-sequence-modeling

Computer vision tools for analyzing behavioral data, including complex event detection in videos.

Language: Python - Size: 217 KB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

Fatlonder/lstm-n

sequence modeling lstm model

Language: Python - Size: 590 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

nnyase/ThesisMusicGeneration

Tensorflow implementation of Long Short-Term Memory model for audio synthesis used for thesis

Language: Python - Size: 19.8 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0

ewanlee/ICLR2019-RL-Papers

The Reinforcement-Learning-Related Papers of ICLR 2019

Size: 33.2 KB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 45 - Forks: 12

a-martyn/awd-lstm

An implmentation of the AWD-LSTM in PyTorch

Language: Jupyter Notebook - Size: 7.18 MB - Last synced at: 9 months ago - Pushed at: over 6 years ago - Stars: 11 - Forks: 2

zachtheyek/MacMiller-NLP

Sentiment analysis performed using a pre-trained BERT model on Mac Miller's complete discography.

Size: 0 Bytes - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

zachtheyek/autoSETI

Transformer/BERT models trained on the Breakthrough Listen Kaggle dataset.

Language: Jupyter Notebook - Size: 1.43 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

omarperacha/TonicNet

Sequential model for polyphonic music

Language: Python - Size: 18.1 MB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 43 - Forks: 2

bzhangGo/lrn

Source code for "A Lightweight Recurrent Network for Sequence Modeling"

Language: Python - Size: 299 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 24 - Forks: 1

zheng-yanan/hierarchical-deep-generative-models

A TensorFlow implementation of "Sequence Modeling with Hierarchical Deep Generative Models with Dual Memory" (published in CIKM2017).

Language: Python - Size: 33.1 MB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 1

ketyi/Deep-2SRNN

Deep, sequential, transductive divergence metric and domain adaptation for time-series classifiers

Language: Jupyter Notebook - Size: 1.22 MB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 1

badass-techie/Music-Generation

Audio and Music Synthesis with Machine Learning

Language: Python - Size: 46.4 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

badass-techie/Image-Captioning

Caption Images with Machine Learning

Language: Python - Size: 32.5 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

badass-techie/MelNet

A Generative Model for Audio in the Frequency Domain

Language: Python - Size: 4.88 KB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

rssr25/TinyML

TinyML stuff done on my Arduino Nano 33 BLE Sense

Language: C++ - Size: 17.6 KB - Last synced at: 5 months ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0

iglee/MEME

Multiple EM for Motif Elicitation for discovering motifs in a group of related DNA or protein sequences.

Language: Python - Size: 2.93 MB - Last synced at: 4 months ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0

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.

Language: Python - Size: 385 KB - Last synced at: about 1 hour ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

zakimjz/VOGUE

VOGUE: Variable Order HMM with Duration

Language: Python - Size: 1.65 MB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 1

AdityaYadavalli1/RNN-and-LSTM-Modelling

Sequence classification and generation using LSTMs and RNNs

Language: Jupyter Notebook - Size: 196 KB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

hklchung/LSTM-MusicGeneration

Generate music with LSTM model

Language: Python - Size: 323 KB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

Related Keywords
sequence-modeling 59 deep-learning 29 machine-learning 17 lstm 14 pytorch 11 nlp 10 time-series 8 python 8 transformer 7 tensorflow 7 computer-vision 7 natural-language-processing 7 recurrent-neural-networks 6 rnn 6 keras 6 transformers 5 language-model 5 data-science 4 artificial-intelligence 4 neural-networks 4 text-generation 4 state-space-models 4 sequence 3 llm 3 reinforcement-learning 3 attention 3 music 3 jupyter-notebook 3 convolutional-neural-networks 3 bert 3 forecasting 3 ai 3 feature-extraction 3 cnn 3 feature-fusion 3 tokenization 3 music-generation 2 coordinate-regression 2 conv2d 2 benchmarking 2 seq2seq 2 deep-neural-networks 2 music-composition 2 regression 2 predictive-text 2 audio 2 next-word-prediction 2 neuroscience-inspired-ai 2 lstm-neural-networks 2 gpu-accelerated-nlp 2 embedding 2 attention-mechanism 2 sequence-to-sequence 2 neural-network 2 video-processing 2 regression-models 2 multimodal-learning 2 multi-input-neural-network 2 liquid-neural-networks 2 research 2 text-classification 2 transfer-learning 2 huber-loss 2 dense-layer 2 computational-biology 2 lottery 2 classification 2 paper 2 meta-learning 2 segmentation 1 iclr2019 1 audio-processing 1 hierarchical-reinforcement-learning 1 jupyter 1 model-based-rl 1 imitation-learning 1 animal-behavior 1 tesnorflow 1 intrinsic-reward 1 inverse-reinforcement-learning 1 spatio-temporal-data 1 data-fusion 1 experiment-automation 1 experiment-tracker 1 gpt 1 hyperparameter-optimization 1 lstm-attention 1 markov-models 1 mlflow 1 multi-dimensional-sequence-modeling 1 multi-features 1 optuna 1 variable-order-markov-models 1 video-classification 1 ab-testing 1 data-engineering 1 data-quality 1 failures 1 optimization 1 practices 1