state-spaces/s4

Structured state space sequence models

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FahdSeddik/DeepLearning.AI-Natural-Language-Processing-Specialization

This is all my notebooks, lab solutions, and assignments for the DeepLearning.AI Natural Language Processing Specialization on Coursera.

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raminmh/CfC

Closed-form Continuous-time Neural Networks

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anubhabghosh/pdanse

This repository contains code related to the pDANSE method (accepted at ICASSP'25)

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lijqhs/deeplearning-notes

Notes for Deep Learning Specialization Courses led by Andrew Ng.

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aertslab/CREsted

CREsted is a Python package for training sequence-based deep learning models on scATAC-seq data, for capturing enhancer code and for designing cell type-specific sequences.

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ali-izhar/machine-learning

Comprehensive understanding of practical projects in ML/DL

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icon-lab/MambaRoll

Official implementation of MambaRoll: A Physics-Driven Autoregressive State Space Model for Medical Image Reconstruction (https://arxiv.org/abs/2412.09331)

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MantisAI/nervaluate

Full named-entity (i.e., not tag/token) evaluation metrics based on SemEval’13

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arasgungore/DeepLearning.AI-Natural-Language-Processing

My solutions to the assignments in the NLP Specialization offered by DeepLearning.AI on Coursera.

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mims-harvard/CLEF

Controllable Sequence Editing for Counterfactual Generation

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hanadiasfour/Online-Cake-Shop-Design-Document

Final design documentation for the Cake Shop Online System, developed as part of a Software Engineering course project.

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ibrahimjelliti/Deeplearning.ai-Natural-Language-Processing-Specialization

This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai

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snap-research/USE

USE: Dynamic User Modeling with Stateful Sequence Models

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sayakpaul/Action-Recognition-in-TensorFlow

Contains additional materials for two keras.io blog posts.

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veb-101/Tensorflow-Specialization

This repository contains course notebooks from the TensorFlow for practice specialization on Coursera

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AlexisBalayre/future-position-prediction-for-aircraft-refueling

Advanced Deep Learning framework for predicting the future position of aircraft refuelling ports using YOLOv10 and a custom SizPos-GRU sequence model to improve automated refuelling systems. Thesis Paper 👇🏻

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kelvin-jose/deepwalk

Generating embeddings for nodes in a graph using random walks and sequence modeling

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gbrlfaria/long_range_models

Simple implementations of long-range sequence models (LRU, S5, S4, and more).

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arasgungore/DeepLearning.AI-Deep-Learning

My solutions to the assignments in the Deep Learning Specialization offered by DeepLearning.AI on Coursera.

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prajeshshrestha/Natural-Language-Processing-Specialization

Assignment Files, Notes and Slides of DeepLearning.AI Natural Language Processing Specialization

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dtreai/LongConv-Jax

Jax/Flax/Linen implementation of "Simple Hardware-Efficient Long Convolutions for Sequence Modeling"

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mituskillologies/dc-adv-nlp-may24

Programs of Advanced Certificate Course on "Python for Computational Linguistics and NLP" conducted at Deccan College PGRI, Pune. May 2024.

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eth-ait/spl

Structured Prediction Helps 3D Human Motion Modelling - ICCV '19

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chaitanyarahalkar/Name-Generator-RNN

A name generator implemented using a recurrent neural network from scratch.

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aws-samples/amazon-sagemaker-amazon-routing-challenge-sol

AWS Last Mile Route Sequence Optimization

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windsuzu/Tensorflow2-Beginner

Notes from deeplearning.ai's Tensorflow 2 course. It includes the basic implementation of Tensorflow 2, implementing CNN, RNN, and some techniques in Deep Learning with Tensorflow 2.

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yaeba/coursera-deep-learning-specialization

Coursera Deep Learning Specialization offered by DeepLearning.AI

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abhishek-kathuria/GAN-Poser

The repo contains the implementation of my publication GAN-Poser:

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dheerajraina/Transformer-Network

Implementation of Transformer Network

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wherobots/GeoTorchAI

GeoTorchAI: A Framework for Training and Using Spatiotemporal Deep Learning Models at Scale

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VictorDavis/chlengmo

Character-Level N-Gram Model

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imtej/Stock-Trend-and-Price-Prediction-using-DL

Stock Trend and Price Prediction using Deep Learning Model (Using a sequence Model "LSTM: Long Short Term Memory Network")

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tealeeseng/JazzMusicGeneration-DeepLearning.ai

This is an update to run the deeplearning.ai notebook under music21 = 6.3.0 in your local machine.

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vaishakk/ESNMatlab

ESN implementation in Matlab

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antonio-f/DeepLearning_Project4-language-translation

Neural Network machine translation using a Sequence-to-Sequence model

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antonio-f/attention_mechanism_tf2

Neural Machine Translation with Attention - TensorFlow 2.X

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luozhouyang/nlp-datasets

A dataset utils repository based on tf.data API.

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marinaramalhete/DeepLearningAI_NLP_Specialization

This repository is dedicated to course notebooks and personal notes from my learning during the specialization.

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ratschlab/clinical-embeddings

Repository for the Paper: „On the Importance of Step-wise Embeddings for Heterogeneous Clinical Time-Series“

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imAniketSharma/Minor-Project

Attention-Based Neural Machine Translation Model, for Spanish to English translation.

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delaykimm/2023-ML-Bootcamp

Programming assignments of COURSERA(Deep Learning Specialization)

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palashsharma891/NLP-Specialiation-DeepLearning.AI

Repository for assignments and labs in the Natural Language Processing Specialization by deeplearning.ai

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OMEGAMAX10/Deep-Learning-Coursera

These are the solutions to the programming exercises from the Deep Learning specialization from Coursera

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deepakpandita57/Slot_Filling

Label slots in user queries

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deepakpandita57/Intent_Detection

Predict intent from user queries

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anishLearnsToCode/deep-learning-ai

Links repo for the Deep Learning Specialization course offered ~ deeplearning.ai on Coursera.

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limberc/deeplearning.ai

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ayyucekizrak/Keras_ile_Derin_Ogrenmeye_Giris

BTK Akademi -1 Milyon İstihdam Projesi için Merve Ayyüce Kızrak tarafından Hazırlanmıştır.

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MultiTrickFox/GSTM

the real lstm in .jl

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gyunggyung/Sequence-Models-coursera

Sequence Models by Andrew Ng on Coursera. Programming Assignments and Quiz Solutions.

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emreaksan/stcn

STCN: Stochastic Temporal Convolutional Networks

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wmylxmj/Deep-Piano

Play The Piano With Deep Learning 用深度学习弹钢琴 2019-5-22

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georgezoto/RNN-LSTM-NLP-Sequence-Models

Sequence Models repository for all projects and programming assignments of Course 5 of 5 of the Deep Learning Specialization offered on Coursera and taught by Andrew Ng, covering topics such as Recurrent Neural Network (RNN), Gated Recurrent Unit (GRU), Long Short Term Memory (LSTM), Natural Language Processing, Word Embeddings and Attention Model.

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georgezoto/Deep-Learning-Adventures

Deep Learning Adventures. Join our Deep Learning Adventures community 🎉 and become an expert in Deep Learning, TensorFlow, Computer Vision, Convolutional Neural Networks, Kaggle Challenges, Data Augmentation and Dropouts Transfer Learning, Multiclass Classifications and Overfitting and Natural Language Processing NLP as well as Time Series Forecasting 😀 All while having fun learning and participating in our Deep Learning Trivia games 🎉 http://bit.ly/deep-learning-tf

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abhishek0093/DL_specialization_coursera

Completed the non-credit Deep Learning Specialization course offered through Coursera by DeepLearning.AI (Andrew Ng)

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skywaLKer518/A-Recsys

A Tensorflow based implicit recommender system

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SARMAD-ALI-cyber/ONT-SIP

This repository contains models trained for various purposes during my summer internship at Optical Networks and Technologies Lab.

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lucylow/En_francais_si_vous_plait-

French English Machine Translation. Natural language processing (NLP) transformer model from "Attention Is All You Need"

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arnaudhillen/coursera-deep-learning-specialization

The jupyter notebooks of the deep learning specialization by deeplearning.ai

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omargup/pytorch_tutorials

PyTorch tutorials

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meiradania/sequence-models-teaching-material

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gkswamy98/sequence_model_il

Contains sequence-model implementations of on and off-policy imitation learning algorithms for problems with unobserved contexts.

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LuisPHenriques/NLP-Named-Entity-Recognition-CoNLL-2003

CoNLL-2003 is a named entity recognition dataset. Consists of eight files covering two languages: English and German, although German wasn't used. For each of the languages there is a training file, a development file, a test file and a large file with unannotated news data, from August 1996 and August 1997.

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pleiadian53/tpheno

Prototypes for EHR-sequencing and temporal phenotyping. Key methods: sequence models, LSTM, attention mechanism, cluster analysis, word & document embeddings, and other NLP methods.

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tanmay17061/pytorch-potpourri

an assortment of interesting deep learning and machine learning algorithms, all implemented for PyTorch and related frameworks.

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ksenia007/ExPectoSC

Code for the ExpectoSC model

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ssikjeong1/Deep_Recurrent_AD

Deep Recurrent Model for Individualized Prediction of Alzheimer’s Disease Progression - PyTorch Implementation (NeuroImage 2021)

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thebeyonder001/Classic_Music_Generation

Generating classical music sing a self attention lstm architecture

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hridayns/Assignments-of-Sequence-Models-taught-by-Andrew-Ng

Assignments of Sequence Models created by deeplearning.ai and taught by Andrew Ng

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evgenyzorin/Deep-Learning

This repository contains all materials, including Labs in the Deep Learning Specialization offered by DeepLearning.AI on Coursera

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Lee-CBG/PiTE

PiTE: TCR-epitope Binding Affinity Prediction Pipeline using Transformer-based Sequence Encoder

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wllhf/dseq

Differentiable Sequence Models

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azminewasi/Deep-Learning-AndrewNg-DeepLearning.AI

Contains all course modules, exercises and notes of Deep Learning Specialization by Andrew Ng, and DeepLearning.ai in Coursera

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zhang-guodong/Deep-Learning-Specialization

My solutions to Quizzes and Programming Assignments of the specialization.

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johnmoses/coursera-nlp-specialization

Coursera Natural Language Procession Specialization

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pleiadian53/clinical-analytics-demo

A demo for predicting patient health status via diagnosis and prescription drugs. Key methods: (simple) EHR-sequencing, NLP, classification algorithms (e.g. logistic regression, decision tree)

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ocramz/pytorch-playground

Language: Python - Size: 65.4 KB - Last synced at: 25 days ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

nsi319/Finetune-Transformers

Abstractive text summarization by fine-tuning seq2seq models.

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jackfrost1411/Generative-chatbot

Generative chatbot using seq2seq

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razormin/Sequence-Models

Sequence Models coding assignments

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taylorhawks/RNN-music-recommender

sequential content-based recommendation system

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aKhfagy/deep-learning-specialization 📦

This will contain all the assignments I did in the Deep Learning specialization

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Momofil31/NLU-SA-Project

Final project of Natural Language Understanding course at University of Trento, in which I tackle sentiment analysis with various deep sequence models and transformers.

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rodosingh/Deep-Learning-Specialization-Course-Series

This includes the solution files for the assignments of each of the 5 courses in the Deep Learning Series.

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iwangjian/Sequence-Models

Programming assignments of "Sequence Models" course by Andrew Ng.

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MrinmoiHossain/Deep-Learning-Specialization-Coursera

Deep Learning Specialization Course by Coursera. Neural Networks, Deep Learning, Hyper Tuning, Regularization, Optimization, Data Processing, Convolutional NN, Sequence Models are including this Course.

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rtflynn/NLP-Sentiment

Sentiment analysis for amazon product reviews using NLTK, Scikit-Learn, and Keras. Using hyperparameter search and LSTM, our best model achieves ~96% accuracy.

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AminKhavari78/Text-Generation-With-LSTM-Recurrent-Neural-Networks-in-Python-with-Keras

use LSTM model for text generation

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rodosingh/SMAI-IIITH

Course Materials (along with assignments) for Statistical Methods in AI, done as a part for requirement of the course "SMAI" (course-code: CS7.403.M21) @ IIITH. Note: If you are cloning this or taking help of this repo, try to star the repo.

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Ashleshk/Deep-Learning.ai-Coursera-Specialization

This repository Consist of Course Material, Assignment And Quizes Attempted in Specialization Course by Coursera

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mohan-gupta/Sequence-Model

Implementation of RNN, LSTM and GRU using Pytorch

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Sowmik23/Coursera-deeplearning-specialization

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Subangkar/Sequence-Models-Deeplearning.ai-Coursera-Assignments

Notebooks of programming assignments of Sequence Models course of deeplearning.ai on coursera in May-2020

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kanchanchy/Fake-News-Detection-BiLSTM

Fake News Detection with a Bi-directional LSTM in Keras

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utkarsh-iitbhu/Sentimental-Analysis

Model can classify speech into Positive, Neutral and Negative with there probabilities.

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indropal/ImageDescription_with_DeepNeuralNets

This project in deep learning involves developing a model that can generate descriptions/captions of images

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raffaeleterribile/tv-script-generation

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jungsoh/lstm-music-generation

Long short-term memory (LSTM) trained on a corpus of music to generate novel music

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suva007/sequence-model

DEEP LEARNING BASED STOCK PREDICTION THAT PROVIDES A ESTIMATED STOCK SPIKES.

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