rnns

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…

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

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).

[CVPR'24 Spotlight] The official implementation of "State Space Models for Event Cameras"

Handwriting Synthesis and Prediction - PyTorch Implementation

[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"

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

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

An open source community implementation of the model from "DIFFERENTIAL TRANSFORMER" paper by Microsoft.

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

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

A comprehensive collection of 25+ recurrent neural network layers for Lux.jl

The system enables sophisticated coordination of multiple drones through natural language commands, visual inputs, and real-time environmental data.

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

Welcome to Prometheus, the revolutionary AI model that allows you to generate DNA sequences for any creature you can imagine. Whether it’s a pink panda, an elephant-sized turtle, or a completely new lifeform from your wildest dreams, Prometheus decodes the mystery of biology and synthesizes genetic blueprints with precision.

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

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..