There are 0 repository under rnns topic.
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; (v) Sequence Models
Dilated RNNs in pytorch
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 a modular, high-performance, and simplistic mamba for high-speed applications
Deep Recurrent Neural Networks (RNNs) for Time-Series Prediction
This repo contains my work & The code base for this TensorFlow Developer specialization offered by deeplearning.AI
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)
Deliverables and Implementations from Andrew Ng's Coursera Specialization, deeplearning.ai
The repository contains the codes for the generation of enhancer sequences using RNN and embedding concepts.
In this repository, we intend to implement a Recurrent Neural Network that used to generate text using our train data which is the “HARRY POTTER AND THE GOBLET OF FIRE “
A PyTorch implementation of CNNs and RNNs on MNIST handwritten digits.
pretrained transformer and embeddings language models
Udacity's Deep-Learning Nano-degree's TV Script Generation Project.
Generation of tv scripts using rnn's of simpsons tv show.
A simple series of programs to train gated recurrent neural networks with PyTorch and generate text based on them.
Code for submission of Speiser et al to spike-finder-challenge 2017
Generating Seinfeld TV scripts using RNNs
Natural Language Processing (NLP) based and trained on RNNs(LSTM) will be powerful enough to generate a fake TV script on Seinfield American TV series. Building a Seinfeld TV scripts AI generator using RNNs.
Generating Sequences of Play In Rugby Union Using Recurrent Neural Networks - Statistical Science honours project at the University of Cape Town.
Speech recognition project on Keyword Spotting (KWS) using Recurrent Neural Networks (RNNs)
DeepLearning.AI TensorFlow Developer Professional Certificate
Predicting missing metadata with recurrent neural network (RNNs) based entity extraction
Polarity prediction of tweets in Mexican Spanish using RNNs and word embeddings in PyTorch
embeddings language models
This Repository is the work of Deep learning Project as part of MLDM M2 Masters in University Jean Monnet