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Name: Martin Ferianc
Type: User
Company: @helsing-ai
Bio: AI Research Engineer at Helsing interested in machine learning and uncertainty quantification
Twitter: MartinFerianc
Location: London, UK
Name: Martin Ferianc
Type: User
Company: @helsing-ai
Bio: AI Research Engineer at Helsing interested in machine learning and uncertainty quantification
Twitter: MartinFerianc
Location: London, UK
This repo contains tutorials, exercises taken from an Udemy course about blockchain
C90 to MIPS I Compiler done as a coursework for EE2-15
ComBiNet: Compact Convolutional Bayesian Neural Network for Image Segmentation
MIPS I CPU simulator done as a coursework for EE2-13
Programming and managing embedded systems done as a coursework for EE3-24
Implementing interactive music controls on FPGAs done as a coursework for EIE1 First Year Project
Generative adversarial networks for generating numbers done as a coursework for EE4-62
Simple Regularisation for Uncertainty-Aware Knowledge Distillation
Website for I2|ML group at UCL
Image denoising done as a coursework for EE3-25
A codebase accompanying the paper "Improving Performance Estimation for FPGA-based Accelerators for Convolutional Neural Networks", by Ferianc et al. presented at ARC'2020
Investigation of how noise perturbations impact neural network calibration and generalisation
Online learning algorithm for microgrid energy management based on MPC
Pattern recognition techniques done as a coursework for EE4-68
On the Effects of Quantisation on Model Uncertainty in Bayesian Neural Networks
💤 Relaxation labelling to refine edge detection 💤
Library for automatic retraining and continual learning
Robotics assignments done as a coursework for CO333
Sentiment analysis from small grayscale pictures by decision forests done as a coursework for CO395
Classifying wines based on physicochemical properties done as a coursework for EE3-23
YAMLE: Yet Another Machine Learning Environment
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.