End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

1st place solution

Chinese Poetry Generation

Code For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"

DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents

Sequence to Sequence Models in PyTorch

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

Inspired by the neural style algorithm in the computer vision field, we propose a high-level language model with the aim of adapting the linguistic style.

RNN Encoder-Decoder in PyTorch

Deep neural network architecture for representing robot experiences in an episodic-like memory which facilitates encoding, recalling, and predicting action experience - Research Project at KIT's High Performance Humanoids Technologies Lab (H2T)

Official source code of FARED

Simple TensorFlow implementation of skip-thought vectors

Generative Models for Image Captioning

A repository for my pytorch models

Text-based Geolocation Prediction of Social Media Users with Neural Networks

Official source code of Arrhythmia Detection

ChatBot using Recuurent Neural networks and Cornell Corpus dataset (TensorFlow)

Game Of Thrones Generative ChatBot Trained using Seq2Seq Model on Game Of Thrones Subs and Book data

PyTorch implementation of Machine Translation using Autoencoder with Attention

ChatBot Trained using Seq2Seq Model on Mahabharatha Subtitles

Patent abstract summarization using recurrent neural networks

using a combination of CNN and RNN for generating captions for images

sequence to sequence model using tensorflow

chatbot using tensorflow

This project uses seq2seq learning model to generate abstract summaries of opinionated data.

Ilustração de como podem ser construídos diversos indicadores técnicos utilizados no mercado financeiro para criação de estratégias de trading usando machine learning e deep learning.

Projects for the Computer Vision Nanodegree

Automatically describing the content of an image fundamental problem in artificial intelligence that connects computer vision and natural language processing. Being able to build a model that could bridge these two fields will help us apply various techniques of each other to solve a fundamental problem in artificial intelligence.

A self-driven project utilizing ARIMA, Seq2Seq, and XGBoost to help design the COVID19 forecasting algorithm. Data sources are from Kaggle Competition and JHU CSSE.