Shadow Detection using RESNET Encoder Decoder Network
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Updated
Sep 24, 2019 - Python
Shadow Detection using RESNET Encoder Decoder Network
Train a Seq2Seq Model with Attention to Translate from One Language to Another
Neural Image Captioning 2015 implemented in Pytorch on MS COCO 2014 dataset.
Sequence to sequence encoder-decoder model with Attention for Neural Machine Translation
Machine Translation using Encoder - Decoder Architecture
Convolutional Neural network for mask prediction and depth estimation.
The project aims at predicting the prices of Open and Close prices in intraday stock market for next 5 minute window
This project is about training a deep neural network to identify and track a target in simulation using Udacity's RoboND drone simulator. 🛸 Applications like this are key to many fields of robotics and the techniques applied can be extended to scenarios like advanced cruise control in autonomous vehicles or human-robot collaboration. 👨🏫
Use deep learning model to produce a pixel-by-pixel classification of images and identify road for autonomous driving vehicles
Enhances quality of image and video with Encoder-Decoder Neural Network
Deep Convolutional Encoder-Decoder Architecture implemented along with max-pooling indices for pixel-wise semantic segmentation using CamVid dataset.
基于Java Web与神经网络的机器翻译网站
Repository for code written during my independent study with Prof. Fiterau @ UMass Amherst in Fall 2020.
Abstractive text summarization models having encoder decoder architecture built using just LSTMs, Bidirectional LSTMs and Hybrid architecture and trained on TPU. Also pre-trained word embedding is used to speed up the process.
I implement encoder-decoder based seq2seq models with attention using Keras. The encoder can be a Bidirectional LSTM, a simple LSTM, or a GRU, and the decoder can be an LSTM or a GRU. I evaluate the models on an English-French dataset.
Machine Transliteration Model from Hindi to English using a Encoder Decoder Architecture using attention mechanism.
Neural Machine Translation using seq-to-seq encoder decoder architecture
Implementation of Convolutional Encoder Decoder Network for short term (0 - 2 hours) weather forecasting.
Implementation of Transformer Encoder Decoder Architecture for Video Predictions
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