Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Network…

Dilated RNNs in pytorch

e3d-lstm; Eidetic 3D LSTM A Model for Video Prediction and Beyond

This repository contains my solutions to the assignments for Stanford's CS231n "Convolutional Neural Networks for Visual Recognition" (Spring 2020).

Integrating Mamba/SSMs with Transformer for Enhanced Long Context and High-Quality Sequence Modeling

Handwriting Synthesis and Prediction - PyTorch Implementation

A lightweight but powerful library to build token indices for NLP tasks, compatible with major Deep Learning frameworks like PyTorch and Tensorflow.

[ACM Computing Surveys'23] Implementations or refactor of some temporal link prediction/dynamic link prediction methods and summary of related open resources for survey paper "Temporal Link Prediction: A Unified Framework, Taxonomy, and Review" which has been accepted by ACM Computing Surveys.

Implementation of Griffin from the paper: "Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models"

Implementation of a modular, high-performance, and simplistic mamba for high-speed applications

Deep Recurrent Neural Networks (RNNs) for Time-Series Prediction

Official PyTorch implementation of the CVPR 2024 paper: State Space Models for Event Cameras.

This repo contains my work & The code base for this TensorFlow Developer specialization offered by deeplearning.AI

AI@UCF's custom-made course, organized by semesters

Implementation of a Hierarchical Mamba as described in the paper: "Hierarchical State Space Models for Continuous Sequence-to-Sequence Modeling"

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks..

This repository is for the Session held in International Conference on Data Management, Analytics and Innovation, New Delhi 2020

Repository implementing Learnable Gradient Descent method for image restoration via recurrent neural networks (RNNs)

A seq2seq model trained on dialogue.

A PyTorch implementation of CNNs and RNNs on MNIST handwritten digits.