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Name: VMuffin
Type: User
Bio: Code with purpose.
Name: VMuffin
Type: User
Bio: Code with purpose.
Large-scale 3D image registration based on spatial transformers and stacked convolutional autoencoders
π©βπ»π¨βπ» Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.
An image registration method using convolutional neural network features.
CNN Implementation on Pytorch to detect Covid19 from Chest X-Ray Images
A generic pipeline to align multimodal image pairs from different sensors by extending Lucas-Kanade on feature maps. CVPR2021
One-shot Learning and deep face recognition notebooks and workshop materials
Content-Aware Unsupervised Deep Homography Estimation
DRMIME - Differentiable Mutual Information and Matrix Exponential for Multi-Resolution Image Registration
Digital signal analysis library for python. The library includes such methods of the signal analysis, signal processing and signal parameter estimation as ARMA-based techniques; subspace-based techniques; matrix-pencil-based methods; singular-spectrum analysis (SSA); dynamic-mode decomposition (DMD); empirical mode decomposition; variational mode decomposition (EMD); empirical wavelet transform (EWT); Hilbert vibration decomposition (HVD) and many others.
an image registration/augmentation/segmentation package
Fast Symmetric Diffeomorphic Image Registration with Convolutional Neural Networks
Feature selection methods using optimization algroithms
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.
Inverse-Consistent Deep Networks for Unsupervised Deformable Image Registration
A demo that implement image registration by matching SIFT descriptors and appling RANSAC and affine transformation.
Code for intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)
Landmark Papers in Machine Learning
Python machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including Co-clustering, Funk SVD, SVD++, Non-negative Matrix Factorization, Koren Neighborhood Model, Koren Integrated Model, Dawid-Skene, Platt-Burges, Expectation Maximization, Factor Analysis, ISTA, FISTA, ADMM, Gaussian Mixture Model, OPTICS, DBSCAN, Random Forest, Decision Tree, Support Vector Machine, Independent Component Analysis, Latent Semantic Indexing, Principal Component Analysis, Singular Value Decomposition, K Nearest Neighbors, K Means, NaΓ―ve Bayes Mixture Model, Gaussian Discriminant Analysis, Newton Method, Coordinate Descent, Gradient Descent, Elastic Net Regression, Ridge Regression, Lasso Regression, Least Squares, Logistic Regression, Linear Regression
Companion webpage to the book "Mathematics For Machine Learning"
[CVPR2020] Unsupervised Multi-Modal Image Registration via Geometry Preserving Image-to-Image Translation
A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach
cause journal
This is the solution repository for the MTE component of CO-405 Distributed Systems - 2021 - DTU(DCE)
This is the PeerSim simulation branch for P2PSP. Its purpose is to simulate practical conditions with large sets of clients in order to obtain more knowledge about its behaviour. To run this simulations you need to download the PeerSim simulator from http://peersim.sourceforge.net/ and unzip the file.
Python implementation of Peer-to-Peer Streaming Peer Protocol (PPSPP) [RFC7574]
Code samples from the book Web Scraping with Python http://shop.oreilly.com/product/0636920034391.do
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD
Resources for deep learning with satellite & aerial imagery
A complete stand-alone simulator for the P2PSP protocol
VIP cheatsheets for Stanford's CS 230 Deep Learning
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π 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. πππ
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 β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.