Structured state space sequence models

Closed-form Continuous-time Neural Networks

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

Notes for Deep Learning Specialization Courses led by Andrew Ng.

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

No description provided.

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

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

A Tensorflow based implicit recommender system

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

AWS Last Mile Route Sequence Optimization

sequential content-based recommendation system

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

STCN: Stochastic Temporal Convolutional Networks

Code and pretrained models for the paper: "MatMamba: A Matryoshka State Space Model"

My solutions to Quizzes and Programming Assignments of the specialization.

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

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.

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

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

Abstractive text summarization by fine-tuning seq2seq models.

Official implementation of DenoMamba: A fused state-space model for low-dose CT denoising

Generative chatbot using seq2seq

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

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

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

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

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.

Contains additional materials for two keras.io blog posts.

Comprehensive understanding of practical projects in ML/DL