muszyna25 Goto Github PK
Name: Grzegorz Muszynski
Type: User
Bio: AOPP, University of Oxford
Location: Oxford, UK
Name: Grzegorz Muszynski
Type: User
Bio: AOPP, University of Oxford
Location: Oxford, UK
3D Point Capsule Networks
A Persistence-Based Approach to Automatic Detection of Line Segments in Images - Paper: Kurlin, Vitaliy, and Muszynski Grzegorz, "A Persistence-Based Approach to Automatic Detection of Line Segments in Images", International Workshop on Computational Topology in Image Context. Springer, Cham, 2019.
Android project - course Android Application Development.
Atmospheric River Pattern Detection Method (Topological Data Analysis + Machine Learning)
Python + Tensorflow
Atmospheric Blocking Classification: Persistent Homology + 2D Convolutoional Neural Network
GUI of the game battleship in Java
Summary of causal structure learning methods
Application of Dijkstra algorithm for finding optimal route between cities, based on the national railway of Switzerland.
Climate indices for drought monitoring, community reference implementations in Python
Python script for illustrating Convolutional Neural Networks (CNN) using Keras-like model definitions
Store of assorted personal creative coding scripts & outputs
Powerful and efficient Computer Vision Annotation Tool (CVAT)
Deep Learning Scaling tutorial material for the Deep Learning for Science School at Berkeley Lab
Active learning for emulation of a cloud parcel model
Change smooth L1 loss to GIoU loss for RetinaNet
Google Research
Hacking Competition Code for NERSC's GPU for Science Day, July 2019
A toolkit for developing and comparing reinforcement learning algorithms.
Hexagonal hierarchical geospatial indexing system
Kepler Mapper: A flexible Python implementation of the Mapper algorithm.
Deep Reinforcement Learning for Keras.
Advanced Implementation of Kohonen Network
Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code.
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Official NetworkX source code repository.
All code for ICPR 2020 paper on atmospheric blocking detection (a binary classification + an localisation (regression task)) using CNNs based on VGG archs.
Python Library for Inference (Causal and Probabilistic) and learning in Bayesian Networks
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.