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ae-mt-lstm

Combining Auto-Encoder with LSTM for WiFi-Based Fingerprint Positioning

ai-final-project

asab

Asynchronous Server App Boilerplate (ASAB) is a microservice platform for Python 3.6+ and asyncio.

athena

Athena: A Framework for Defending Machine Learning Systems Against Adversarial Attacks

autoaugment

Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow

basketballgan

Basketball coaches often sketch plays on a whiteboard to help players get the ball through the net. A new AI model predicts how opponents would respond to these tactics.

bbc-text-categorization

This is the submission for dicoding NLP Model with Tensorflow

cameraradarfusionnet

codes-for-lane-detection

Learning Lightweight Lane Detection CNNs by Self Attention Distillation (ICCV 2019)

dicoding-submission-fundamental-flutter

dicoding_food

Submission food apps

dicoding_rest_api

Restaurant App with API

direction-of-arrival-doa-estimation-algorithm

Project for finding beacon location using Angle of Arrival (AoA) signal. The Direction of Arrival estimation is based on the MUltiple SIgnal Classification (MUSIC) algorithm here.

dockerfile-gpu-opencv-jupyter

driverapp

ecgchart

Real time graph using graphview for ecg data

ecpayaio_php

綠界ECPay 全方位(All In One)金流介接 PHP版

flutter-app-food-ordering

flutter-cab

food_ordering_app

frustum-pointnets

Frustum PointNets for 3D Object Detection from RGB-D Data

image-classification-and-deployment-to-android

image-data-augmentation

experiment with simple data augmentation

lane-detector

This repository is for my article "Tutorial: Build a lane detector" published on Medium.

latex-business-requirements-documents

Automatically exported from code.google.com/p/latex-business-requirements-documents

mephisto

A suite of tools for managing crowdsourcing tasks from the inception through to data packaging for research use.

mfm-2020

This repository contain supplementary materials for previous Melek for Member (MFM) 2020 session

minuku

mof

Unofficial PyTorch implement of WACV paper 'Multiple Object Forecasting: Predicting Future Object Locations in Diverse Environments'

nlp-in-tfjs

This example demonstrated loading a model and using it in the browser. This model is trained to predict the sentiment of a short restaurant review (as a score between 0 and 1). The training is done server side using Python and then converted into a TensorFlow.js model. The model is trained using YELP reviews that have been truncated to a maximum of 18 words, only the 2000 most used words in the reviews are used. You can experiment with the model on this page.