shirleneliew's repositories

darkflow

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

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purple-to-dos

Application for TechLadies 2018 by Shirlene Liew

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tech-interview-handbook

💯 Algorithms study materials, behavioral content and tips for rocking your coding interview

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aiap-batch-2-workshop

Data for candidates to use in Session II of workshop

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artificial-adversary

🗣️ Tool to generate adversarial text examples and test machine learning models against them

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cocoapi

COCO API - Dataset @ http://cocodataset.org/

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course-v3

The 3rd edition of course.fast.ai - coming in 2019

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cs6101_notes

Class notes for cs6101

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facenet

Face recognition using Tensorflow

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faster_rcnn_pytorch

Faster RCNN with PyTorch

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generating-reviews-discovering-sentiment

Code for "Learning to Generate Reviews and Discovering Sentiment"

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GLCIC-PyTorch

A PyTorch Implementation of "Globally and Locally Consistent Image Completion".

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hand-detection-tutorial

A tutorial on how to train a hand detector with TensorFlow Object Detection API

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handtracking

Building a Real-time Hand-Detector using Neural Networks (SSD) on Tensorflow

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keras-facenet

Facenet implementation by Keras2

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keras-oneshot

koch et al, Siamese Networks for one-shot learning, (mostly) reimplimented in keras

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labelImg

:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images

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maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

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mnist_siamese_flask

REST API that predict the similarity of 2 MNIST inputs on Flask. Inputs are arrays in a JSON file.

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PyTorch-YOLOv3

Minimal PyTorch implementation of YOLOv3

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pytorch_objectdetecttrack

Object detection in images, and tracking across video frames

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tender_elion

Healthcare Hackathon @ School of AI, Singapore, 2019

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tensorflow-triplet-loss

Implementation of triplet loss in TensorFlow

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todos

Shirlene Liew's application to TechLadies 2018

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You-Dont-Know-JS

A book series on JavaScript. @YDKJS on twitter.

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