caxenie Goto Github PK
Name: Cristian Axenie
Type: User
Company: TH Nürnberg
Bio: Full-time Researcher, Part-time Hacker, Any-time Innovator.
Twitter: cristian_axenie
Location: Munich & Nürnberg, Germany
Name: Cristian Axenie
Type: User
Company: TH Nürnberg
Bio: Full-time Researcher, Part-time Hacker, Any-time Innovator.
Twitter: cristian_axenie
Location: Munich & Nürnberg, Germany
GLUECK: Growth pattern Learning for Unsupervised Extraction of Cancer Kinetics
Einsatz von Gradientenabstiegsverfahren in Neuronale Netzen.
HearSee: Hearing motion synesthesia
A very simple example of a recurrent Hopfield network applied to image undistortion.
Simple auto-associative memory to recover names and phone numbers and/or match them using a Hopfield network.
Population code based network for cue integration using Basis Function Neurons. Simple case scenario for 2 inputs.
Streaming ML lecture and focus on Incremental PCA: formalism, experiments, analysis.
Burda Hackaday v4, April 2016 / Project: HR talent management and recruiting for efficient candidate - job matching using ML.
A collection of algorithms to study unsupervised learning of invariant representations in grid cells.
Overhead ip cam tracker (single cam) using OpenCV acquisition and processing of MJPEG/RTSP streams.
IRENA: Invariant Representations Extraction in Neural Architectures
Learning multisensory prediction for road traffic
A series of independent experiments and codebase in Mathematical and Computational Oncology.
Simple embedded platform to test inertial sensors (e.g. Android phones) with TI MSP430 MCU.
Neural Network Anatomy Study
The software infrastructure for data acquisition, synchronization with 3D tracker system and logging was developed at TUM.
Neuro-Fuzzy System for Customer 360 Profiling and Churn Prediction.
The mobile manipulator developed at NST for adaptive sensorimotor systems consists of an omni-directional (holonomic) mobile manipulation platform with embedded low-level motor control and multimodal sensors. The on-board micro-controller receives desired commands via WiFi and continuously adapts the platform's velocity controller. The robot’s integrated sensors include wheel encoders for estimating odometry, a 9DoF inertial measurement unit, a proximity bump-sensor ring and three event-based embedded dynamic vision sensors (eDVS) for visual input.
Backend and admin for neurorobotics.me
Einführung in die objektorientierte Modellierung und Programmierung an einem Beispiel aus der Produktion
Principal Component Analysis vs Denoising Variational Autoencoders Vorlesung.
PERFECTO: Prediction of Extended Response and Growth Functions for Estimating Chemotherapy Outcomes in Breast Cancer
Neural Network Predictive Maintenance System
PRINCESS: Prediction of Individual Breast Cancer Evolution to Surgical Size
Pointwise organized projections of sensory afferents. Network to simulate the organization of pointwise connections from sensory afferents in cortex. Work of Kohonen, 2005/2006: Self-organizing neural projections. Pointwise organizing projections.
Simple implementation of the sharp learning algorithm using the connectivity presented in Cook et. al.
Application Launcher Daemon for IVI Infrastructure.
Implementation of a network which learns coordinate systems transformations using sigma-pi units that self-organize (Weber et al.).
Spartan6-LX9 MICROBoard Getting started with Linux Embedded.
This repository contains all the files required for the Puzzlebot Development
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.