TensorFlow

docker nuxt flask

A simple calculator, but with no buttons. It takes its inputs with a raspicamera and analyse it using machine learning. This project is made possible by M. Kromer.

Multimodal Brain Tumor Segmentation (BRATS) Challenge 2019

Training of deep networks for medical image segmentation tasks Network and training strategy that relies on the strong use of data augmentation

Haruspex is a Convolutional Neural Network capable of recognizing and predicting secondary structure elements and nucleotides in Cryo-EM reconstruction density.

An application that generates Singapore news headlines using a neural network trained on news headlines from a newspaper in Singapore. The dockerized API application served using Flask, gunicorn, and Nginx.

Machine Learning examples

Experiments with tensorflow v1 for building models using a hyperparameter dictionary like tuple. The project is WIP and capsule layers do not compile properly. This work predated gin-config and has since been archived.

replicated sentiment analysis https://github.com/bentrevett/pytorch-sentiment-analysis/blob/master/1%20-%20Simple%20Sentiment%20Analysis.ipynb

collision risk assessment network implementation in tensorflow

FOR.ai challenge of weight prunning

Scalable Gaussian processes in TensorFlow

Tensorflow guide and tutorials:

Goals: 1)basic use and understanding 2) refactoring into reusable chunks for other projects

https://www.tensorflow.org/overview https://www.tensorflow.org/tutorials https://www.tensorflow.org/guide

Tensorflow repo stores some machine learning algorithms developed in Go

PWP

Project containing multiple designs of neural networks with the purpose of categorising accelerometer data into driving behaviours. There are 2 densely connected ANNs for categorial classification and binary classification. Also an RNN with LSTM node

Hand Writing (Numbers & Letters) Classification using Tensorflow.

A golang microservice for predicting next frame using tensorflow serving

This project is a collection of projects under the learning from the Google crash course on ML and TensorFlow

This repo is cointaing coding of pure tensorflow to train sales_dataset which is using simple neural network (fully connected layer). I try to give explain and coding example of it from research process to production phase using google ML engine API

Tensorflow - Google Assistant - Politeknik Negeri Jakarta