shirleneliew Goto Github PK

aiap-batch-2-workshop

Data for candidates to use in Session II of workshop

artificial-adversary

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

bootcamp-4-technical-task

Technical task for TechLadies Bootcamp 4

ci-workshop-app

cocoapi

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

course-v3

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

cs6101_notes

Class notes for cs6101

darkflow

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

deeplearning

facenet

Face recognition using Tensorflow

faster_rcnn_pytorch

Faster RCNN with PyTorch

generating-reviews-discovering-sentiment

Code for "Learning to Generate Reviews and Discovering Sentiment"

glcic-pytorch

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

grab_safety

hand-detection-tutorial

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

handtracking

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

keras-facenet

Facenet implementation by Keras2

keras-oneshot

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

labelimg

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

maskrcnn-benchmark

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

mnist_siamese_flask

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

purple-to-dos

Application for TechLadies 2018 by Shirlene Liew

pytorch-mask-rcnn

pytorch-yolov3

Minimal PyTorch implementation of YOLOv3

pytorch_objectdetecttrack

Object detection in images, and tracking across video frames

react-express-mongo-prebootcamp-workshop-3-2018

Pre-bootcamp Workshop 3 for TechLadies Bootcamp 4: React, Express and MongoDB

react-todo-list

research-papers

tech-interview-handbook

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

techladies

TechLadies 2018 stuff