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162 search results found

Numerical Linear Algebra ⭐ 9,850

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

Linear Algebra With Python ⭐ 2,160

Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.

Hyperlearn ⭐ 1,387

2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

Tensor Sensor ⭐ 634

The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy, pytorch, jax, tensorflow, keras, fastai.

A Python Library for Self Organizing Map (SOM)

A blazing fast matrix library for Elixir/Erlang with C implementation using CBLAS.

Recsys_course_at_polimi ⭐ 346

This is the official repository for the Recommender Systems course at Politecnico di Milano.

Recommendation ⭐ 324

Recommendation System using ML and DL

Neural_decoding ⭐ 242

A python package that includes many methods for decoding neural activity

Numerical Linear Algebra V2 ⭐ 217

Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program

Code and example data for running Consensus Non-negative Matrix Factorization on single-cell RNA-Seq data

Datagene ⭐ 170

DataGene - Identify How Similar TS Datasets Are to One Another (by @firmai)

DAGMM Tensorflow implementation

Cofactor ⭐ 155

CoFactor: Regularizing Matrix Factorization with Item Co-occurrence

Ai Matrix ⭐ 148

To make it easy to benchmark AI accelerators

D3graph ⭐ 143

Creation of interactive networks using d3 Javascript

transfer-matrix method for optics of thin and thick multilayer films

Simple_mf ⭐ 123

Simple but Flexible Recommendation Engine in PyTorch

Swift library like numpy, playgrounds notebook like jupyter.

Dynamic_neural_manifold ⭐ 117

Nlp_adversarial_examples ⭐ 112

Implementation code for the paper "Generating Natural Language Adversarial Examples"

Design Of Experiment Python ⭐ 112

Design-of-experiment (DOE) generator for science, engineering, and statistics

Julia 100 Exercises ⭐ 111

julia version of 100 numpy exercises

Engcomp4_landlinear ⭐ 104

Using computational thinking to get deep insights on the foundations of linear algebra

Quant Notes ⭐ 101

Quantitative Interview Preparation Guide, updated version here ==>

Ristretto ⭐ 94

Randomized Dimension Reduction Library

Machinevision Toolbox Python ⭐ 76

Machine vision toolbox for Python

Exposure Matrix Factorization: modeling user exposure in recommendation

Growing Neural Cellular Automata Pytorch ⭐ 68

Extended experiments of "Growing Neural Cellular Automata" https://distill.pub/2020/growing-ca/

Matlab Notebook for visualizing random matrix theory results and their applications to machine learning

Doubletdetection ⭐ 60

Doublet detection in single-cell RNA-seq data.

Contains an implementation (sklearn API) of the algorithm proposed in "GENDIS: GEnetic DIscovery of Shapelets" and code to reproduce all experiments.

Mimic Iii_readmission ⭐ 59

Predicting 30-day ICU readmissions from the MIMIC-III database

Preprocessing For Deep Learning ⭐ 58

This is the notebook associated with the blog post:

Fast Pagerank ⭐ 57

Fast (Personalized) PageRank Implementation

Cyber Matrix Ai ⭐ 53

Collection of cyber security and "AI" relevant topics

CUDA kernels for generalized matrix-multiplication in PyTorch

Ai Projects ⭐ 45

AI项目（强化学习、深度学习、计算机视觉、推荐系统、自然语言处理、机器导航、医学影像处理）

Gmm Em Python ⭐ 41

Python implementation of EM algorithm for GMM. And visualization for 2D case.

NLA 2018 Skoltech course

Non Negative Matrix Factorization Implemented In Python ⭐ 39

Harmony framework for connecting scRNA-seq data from discrete time points

Implementation of deep recurrent nonnegative matrix factorization (DR-NMF) for speech separation

Lap Solvers ⭐ 38

Benchmarking Linear Assignment Problem Solvers

My Movie Recommender ⭐ 38

Personal movie recommender system and a research sandbox

Timecorr ⭐ 36

Estimate dynamic high-order correlations in multivariate timeseries data

Alvito - An Algorithm Visualization Tool for Python

Github repository for NLA2020 course

Sentiment Analysis2 ⭐ 34

Sentiment ananlysis in keras and mxnet

Randomly ⭐ 33

A Library for Denoising Single-Cell Data with Random Matrix Theory

Linear_algebra ⭐ 32

Mathematics_for_machine_learning ⭐ 32

Learn the mathematics behind machine learning and explore various mathematical concepts within machine learning.

Recommendationengine ⭐ 31

A 3-hour workshop for understanding deep learning recommendation systems.

Stratipy ⭐ 29

Graph regularized nonnegative matrix factorization (GNMF) in Python

Recommendation Systems ⭐ 28

Recommendation Systems This is a workshop on using Machine Learning and Deep Learning Techniques to build Recommendation Systesm Theory: ML & DL Formulation, Prediction vs. Ranking, Similiarity, Biased vs. Unbiased Paradigms: Content-based, Collaborative filtering, Knowledge-based, Hybrid and Ensembles Data: Tabular, Images, Text (Sequences) Models: (Deep) Matrix Factorisation, Auto-Encoders, Wide & Deep, Rank-Learning, Sequence Modelling Methods: Explicit vs. implicit feedback, User-Item matri

Relationship Extraction ⭐ 26

Implementation Project for relation extraction in NLP using kernel based methods.

Open Matrix (OMX)

Intelligent Hpa ⭐ 25

Recommendation Retrieval ⭐ 23

A tutorial on scalable retrieval of matrix factorization recommendations

Comparative metrics for dynamic networks in Python

Pairwiselistmatrices.jl ⭐ 19

Symmetric matrix as a list of the values in its upper or lower triangular part. Useful for representing pairwise measures or comparisons when the used metric or distance satisfies the symmetry condition and for adjacency matrices of undirected graphs.

Notebooks ⭐ 19

This repo contains notebooks that explaining some cool stuff we learn every now and then...

Independent_component_analysis ⭐ 19

From scratch Python implementation of the fast ICA algorithm.

Patch Match ⭐ 19

Implementation of some papers for hole filling in picture

P300 Speller ⭐ 18

A BCI speller based on P300 detection using a 1D CNN architecture.

18.338 Eigenvalues Of Random Matrices ⭐ 17

Symbolic Modified Nodal Analysis ⭐ 17

an ipython notebook for symbolic circuit analysis

Machine Learning ⭐ 16

Machine Learning Notebooks by Anderson

An unsorted bunch of ideas on practical aspects of machine learning. Mostly in python

Se3comp_pytorch ⭐ 16

SE3 composition layer of VINet

Self-explaining Matrix Product States library in Python

NLA 2019 course @ Skoltech.

Confusion Matrix For Mask R Cnn ⭐ 14

Confusion matrix for Mask R-CNN (Matterport implementation)

Py_matrix ⭐ 14

A python implementation of the transfer matrix method for multilayer structures with arbitrary dielectric tensors

Recommender Systems For Implicit Feedback Datasets ⭐ 14

Matrix Factorization augmented with customer item meta data

Nla2019_ozon ⭐ 13

NLA course in OZON Masters

Covadapt ⭐ 13

Low rank adaptation of covariance matrices for nuts sampling in pymc3

30 Seconds Of R Code ⭐ 13

Collection of small base-R expressions (r snippets)

Simplemps ⭐ 13

Matrix product states (MPS) based density matrix renormalization group (DMRG)

Event Detection In Classroom ⭐ 13

In this repository the events in the classroom like sit, stand, walk and fight are detected and labelled.

Feature_learning ⭐ 13

feature weight learning based off similarity based clustering

Image Filtering ⭐ 13

image filtering techniques in python with examples

Stream Anomaly Detect ⭐ 13

Implementation of algorithms proposed by [Huang and Kasiviswanathan]

Linear Algebra With Python ⭐ 12

w/ khan academy & coding the matrix

Collaborativefilteringv3 ⭐ 12

TimeSVD++ model: Recommender system using Matrix Factorization techniques, while utilize temporal models to extend models accuracy.

CLARA: Confidence of Labels and Raters

Collaborative_filtering ⭐ 12

Recommendation system for music.

Camera Calibration ⭐ 11

The goal of camera calibration is to find the intrinsic and extrinsic parameters of a camera.

Nla2020_ozon ⭐ 11

Numerical linear algebra course in Ozon masters, Fall 2020

Coinblas ⭐ 11

Bitcoin blockchain graph analysis with the GraphBLAS.

Paper Implementation Matrix Factorization Recommender Systems Netflix ⭐ 11

[Python3.6] IEEE Paper "Matrix Factorization Techniques for Recommender Systems" by Koren,Bell,Volinsky

Possiblistic Fuzzy C-Means Algorithm in Python

Computationalmethods ⭐ 11

Computational Methods Course at UdeA. Forked and size reduced from:

A Random Matrix Approach to Extreme Learning Machine

Svmalgorithm ⭐ 10

Python Implementation of SVM Algorithm based on Papers and courses cited in README.md

Clustergrammer Py ⭐ 10

A python module for the clustergrammer matrix visualization project that creates the JSON object for the front-end JavaScript portion of Clustergrammer.

Learn_numpy ⭐ 10

We design this course with 9 lessons to help beginners can quickly understand and utilize this useful library.

Relevance Ranking Using Latent Semantic Indexing From Scratch ⭐ 10

Latent Semantic Analysis Introduction: An information retrieval technique patented in 1988. In the context of its application to information retrieval, it is sometimes called Latent Semantic Indexing (LSI). LSI allows a search engine to determine what a page is about outside of specifically matching search query text. It looks at “Themes” instead of “Keywords”. Linear Algebra techniques used in the project: Singular Value Decomposition, Cosine Similarity, Matrix properties. Dataset: “Sc

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