Georg-W

Algorithmic Trading Machine Vision Deep Learning Python C++ Vienna

Allianz AustriaAustria

Pinned Repositories

15-Piece-Puzzle
15- Piece puzzle for android!
Language:Java0 2 00
18663_Project_FBNet
Class Project for 18663 - Implementation of FBNet (Hardware-Aware DNAS)
Language:CSS0 1 00
aframeReact
Language:JavaScript0 2 00
alexyAB_to_openvino
Language:Python0 1 00
angular2-tdd-boilerplate
Boilerplate for Angular2 with TDD (Jasmine & Karma)
Language:JavaScript0 1 00
Angular2Observables
Language:TypeScript0 1 00
api-design
LivingSocial API Design Guide
0 2 00
armnn
Arm NN ML software
Language:C++0 2 00
playOtten
Language:CSS1 2 00
react-airbnb
Alexander Kotliarskyi's (Facebook) course at Airbnb for react-native
Language:JavaScript1 1 00

Georg-W's Repositories

Georg-W/18663_Project_FBNet
Class Project for 18663 - Implementation of FBNet (Hardware-Aware DNAS)
Language:CSS0 1 00
Georg-W/alexyAB_to_openvino
Language:Python0 1 00
Georg-W/armnn
Arm NN ML software
Language:C++0 2 00
Georg-W/Brodmann17FaceDetector
Brodmann17 Deep Learning based highly efficient face detector working on ARM & x86 CPUs
Language:Jupyter Notebook1 0
Georg-W/cogwerx-face-classification-tx2
Language:Python2 0
Georg-W/cogwerx-jetson-tx2
Deep learning builds for NVIDIA Jetson TX2
Language:Shell2 0
Georg-W/darknet
Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)
Language:C1 0
Georg-W/darknet_ncnn
Language:C++1 0
Georg-W/DroNet
DroNet: Efficient convolutional neural network detector for Real-Time UAV applications
Language:C1 0
Georg-W/e.on-stock-deep-learning-lstm
Language:Jupyter Notebook2 0
Georg-W/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Language:Python1 0
Georg-W/FBNet
reproduction of the article
Language:Python0 0
Georg-W/German-Traffic-Sign-Classification-Using-TensorFlow
In this project, I used Python and TensorFlow to classify traffic signs. Dataset used: German Traffic Sign Dataset. This dataset has more than 50,000 images of 43 classes. I was able to reach a +99% validation accuracy, and a 97.3% testing accuracy.
Language:HTML2 0
Georg-W/Java_React
Language:JavaScript1 0
Georg-W/jenkins_test
Language:Python1 0
Georg-W/json
JSON for Modern C++
Language:C++2 0
Georg-W/Lean
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
Language:C#0 0
Georg-W/MobileNet-SSD
Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.
Language:Python1 0
Georg-W/MVision
机器人视觉无人驾驶视觉SLAM ORB LSD SVO DSO 深度学习目标检测yolov3 行为检测 opencv PCL 双目视觉
Language:C++2 0
Georg-W/NAS
Neural architecture search(NAS)
Language:Python0 0
Georg-W/OIDv4_ToolKit
Download and visualize single or multiple classes from the huge Open Images v4 dataset
Language:Python2 0
Georg-W/open_model_zoo
Pre-trained Deep Learning models and samples (high quality and extremely fast)
Language:Python2 0
Georg-W/opencv
Open Source Computer Vision Library
Language:C++2 0
Georg-W/Predicting_Winning_Teams
This is the code for "Predicting the Winning Team with Machine Learning" by Siraj Raval on Youtube
Language:Jupyter Notebook2 0
Georg-W/react
A declarative, efficient, and flexible JavaScript library for building user interfaces.
Language:JavaScript2 0
Georg-W/react-vis
Data-Visualization oriented components
Language:JavaScript1 0
Georg-W/release-notes
BlockApps Release Notes
2 0
Georg-W/scalabel
Quantify computer vision performance in human terms
Language:JavaScript1 0
Georg-W/styleguide
Style guides for Google-originated open-source projects
Language:HTML2 0
Georg-W/titanic-survivors-kaggle-challenge
Language:Python2 0