VMuffin's repositories

awesome-cheatsheets

👩‍💻👨‍💻 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.

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CVPR21-Deep-Lucas-Kanade-Homography-EC458PROJECT

A generic pipeline to align multimodal image pairs from different sensors by extending Lucas-Kanade on feature maps. CVPR2021

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dsatools-important-files-notebooks

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.

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Feature_selection

Feature selection methods using optimization algroithms

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machine-learning-important-nptebooks

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, Naïve 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

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math_for_ml

Companion webpage to the book "Mathematics For Machine Learning"

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quant-trading-important-notebooks

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

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torchxrayvision

TorchXRayVision: A library of chest X-ray datasets and models.

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cnn-registration-EC458PROJECT

An image registration method using convolutional neural network features.

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Covid19_Detection_from_XRay_Images

CNN Implementation on Pytorch to detect Covid19 from Chest X-Ray Images

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Landmark-ML-papers

Landmark Papers in Machine Learning

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deep-face-recognition

One-shot Learning and deep face recognition notebooks and workshop materials

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DeepHomography-EC458PROJECT

Content-Aware Unsupervised Deep Homography Estimation

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DRMIME

DRMIME - Differentiable Mutual Information and Matrix Exponential for Multi-Resolution Image Registration

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easyreg

an image registration/augmentation/segmentation package

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Fast-Symmetric-Diffeomorphic-Image-Registration-with-Convolutional-Neural-Networks-EC458PROJECT

Fast Symmetric Diffeomorphic Image Registration with Convolutional Neural Networks

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Getting-Things-Done-with-Pytorch

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.

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ICNet-EC458PROJECT

Inverse-Consistent Deep Networks for Unsupervised Deformable Image Registration

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ImageRegistration

A demo that implement image registration by matching SIFT descriptors and appling RANSAC and affine transformation.

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Intrusion-Detection-System-Using-Machine-Learning

Code for intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)

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nemar-EC458PROJECT

[CVPR2020] Unsupervised Multi-Modal Image Registration via Geometry Preserving Image-to-Image Translation

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Network-Intrusion-Detection-Using-Machine-Learning

A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach

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P2PSP-MTE-DiS-2021-

This is the solution repository for the MTE component of CO-405 Distributed Systems - 2021 - DTU(DCE)

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PeerSim-simulator

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.

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python-scraping

Code samples from the book Web Scraping with Python http://shop.oreilly.com/product/0636920034391.do

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satellite-image-deep-learning

Resources for deep learning with satellite & aerial imagery

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simulator

A complete stand-alone simulator for the P2PSP protocol

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stanford-cs-230-deep-learning

VIP cheatsheets for Stanford's CS 230 Deep Learning

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TransferLearning_Vgg16-19

Transfer learning with VGG16 and VGG19, the simpler way!

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