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Search results for machine learning matrix
machine-learning
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matrix
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108 search results found
Numerical Linear Algebra
⭐
9,850
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Surprise
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6,070
A Python scikit for building and analyzing recommender systems
Prmlt
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5,091
Matlab code of machine learning algorithms in book PRML
Implicit
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3,322
Fast Python Collaborative Filtering for Implicit Feedback Datasets
Ml
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2,235
Machine learning tools in JavaScript
Pycm
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1,413
Multi-class confusion matrix library in Python
Hyperlearn
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1,387
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Owl
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1,178
Owl - OCaml Scientific Computing @ https://ocaml.xyz
Advmlthreatmatrix
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904
Adversarial Threat Landscape for AI Systems
Libxsmm
⭐
789
Library for specialized dense and sparse matrix operations, and deep learning primitives.
Vectorious
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781
Linear algebra in TypeScript.
Mlhelper
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652
Algorithms and utils for Machine Learning in JavaScript.
Cranium
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566
🤖 A portable, header-only, artificial neural network library written in C99
Spectralcluster
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480
Python re-implementation of the (constrained) spectral clustering algorithms used in Google's speaker diarization papers.
Papers
⭐
461
Collection of papers
Pretty Print Confusion Matrix
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408
Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib
Matrex
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374
A blazing fast matrix library for Elixir/Erlang with C implementation using CBLAS.
Cmsis Dsp
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348
CMSIS-DSP embedded compute library for Cortex-M and Cortex-A
Dscribe
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343
DScribe is a python package for creating machine learning descriptors for atomistic systems.
Machine Learning For Asset Managers
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334
Implementation of code snippets, exercises and application to live data from Machine Learning for Asset Managers (Elements in Quantitative Finance) written by Prof. Marcos López de Prado.
Matrix
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327
Matrix manipulation and computation library
Tensor
⭐
326
package tensor provides efficient and generic n-dimensional arrays in Go that are useful for machine learning and deep learning purposes
Linformer Pytorch
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323
My take on a practical implementation of Linformer for Pytorch.
Theano_lstm
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309
🔬 Nano size Theano LSTM module
Blasjs
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272
Pure Javascript manually written 👌 implementation of BLAS, Many numerical software applications use BLAS computations, including Armadillo, LAPACK, LINPACK, GNU Octave, Mathematica, MATLAB, NumPy, R, and Julia.
Skggm
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224
Scikit-learn compatible estimation of general graphical models
Tensor
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197
A library and extension that provides objects for scientific computing in PHP.
Ccontrol
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190
Using advanced control techniques in an easy way for embedded - No theory, only practice
Go Tsne
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169
t-Distributed Stochastic Neighbor Embedding (t-SNE) in Go
Cumf_als
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157
CUDA Matrix Factorization Library with Alternating Least Square (ALS)
Care Gnn
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127
Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters
Kitabe
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127
Book Recommendation System built for Book Lovers📖. Simply Rate ⭐ some books and get immediate recommendations🤩
Machinelearning
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122
An easy neural network for Java!
Sparse
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119
Sparse matrix formats for linear algebra supporting scientific and machine learning applications
Umap.jl
⭐
115
Uniform Manifold Approximation and Projection (UMAP) implementation in Julia
Tsml.jl
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109
A package for time series data processing, classification, clustering, and prediction.
Minhashcuda
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105
Weighted MinHash implementation on CUDA (multi-gpu).
Quant Notes
⭐
101
Quantitative Interview Preparation Guide, updated version here ==>
Libskylark
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87
Sketching-based Distributed Matrix Computations for Machine Learning
Tene
⭐
71
A sparsity aware implementation of "Enhanced Network Embedding with Text Information" (ICPR 2018).
Rmt4ml
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68
Matlab Notebook for visualizing random matrix theory results and their applications to machine learning
Growing Neural Cellular Automata Pytorch
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68
Extended experiments of "Growing Neural Cellular Automata" https://distill.pub/2020/growing-ca/
Ml_linalg
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66
SIMD-based linear algebra and statistics for data science with dart
Rtorch
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63
PyTorch bindings for R
Neo
⭐
60
👩💻 Matrix and other math, accelerated by WebGPU and WASM
Neodti
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54
NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions
Cogaps
⭐
53
Bayesian MCMC matrix factorization algorithm
Cyber Matrix Ai
⭐
53
Collection of cyber security and "AI" relevant topics
Alchemy
⭐
53
CV DL
Tadw
⭐
50
An implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).
Rustml
⭐
50
Machine learning in Rust.
Probqa
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46
Probabilistic question-asking system: the program asks, the users answer. The minimal goal of the program is to identify what the user needs (a target), even if the user is not aware of the existence of such a thing/product/service.
Ai Projects
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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)
Zhetapi
⭐
45
A C++ ML and numerical analysis API, with an accompanying scripting language.
Ndscala
⭐
42
N-dimensional / multi-dimensional arrays (tensors) in Scala 3. Think NumPy ndarray / PyTorch Tensor but type-safe over shapes, array/axis labels & numeric data types
Mathematics_for_machine_learning
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32
Learn the mathematics behind machine learning and explore various mathematical concepts within machine learning.
Boostedfactorization
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31
An implementation of "Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation" (ASONAM 2019).
Matrixlib
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31
Lightweight header-only matrix library (C++) for numerical optimization and machine learning. Contact me if there is an exciting opportunity.
Bm25transformer
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30
(Python) transform a document-term matrix to an Okapi/BM25 representation
Stem
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28
Swift Tensor Extensions for Machine-learning
Py Soft Impute
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28
Python implementation of Mazumder and Hastie's softImpute for matrix completion
Mathematics_for_machine_learning
⭐
28
Notes and step-by-step exercises resolution to aid students learning the base math for machine learning. Content summed up from the the course from the Imperial London College in Coursera.
Sniper
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25
nuclear compartments, subcompartments, nuclear organization, Hi-C, autoencoder
Tfmodelserving4s
⭐
25
Reasonable API for serving TensorFlow models using Scala
Tensorflow Os Elm
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24
A tensorflow implementation of OS-ELM (Online Sequential Extreme Learning Machine)
Calm
⭐
24
Conditional Associative Logic Memory
Algorithmstar
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23
as机器学习库支持各种度量系数的计算,同时具有knn,决策树,线性回归等机器学习基础算法计算组件的实 The AS machine learning library supports various machine learning algorithms, as well as SQL programming for data calculation and a powerful machine vision library, which can easily meet various data processing requirements.
Nmfk.jl
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22
Nonnegative Matrix Factorization + k-means clustering and physics constraints for Unsupervised and Physics-Informed Machine Learning
Slash
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21
Linear Algebra and Statistics library for Scala.js, JVM, and Native.
Nancorrmp
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20
Parallel correlation calculation of big numpy arrays or pandas dataframes with NaNs and infs.
Amle
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20
Experiment code for "Probabilistic Matrix Factorization for Automated Machine Learning"
Cp User Behavior
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18
Recommendation engine using collaborative filtering and matrix factorization
First Neural Network
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17
Simple neural network implemented from scratch in C++.
Laml
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17
A stand-alone pure Java library for linear algebra and machine learning
Fscnmf
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16
An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".
Disarray
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15
Confusion matrix metrics directly from your pandas DataFrame
Matrix2
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14
A better architected Matrix library in c++
Kernel Ep
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14
UAI 2015. Kernel-based just-in-time learning for expectation propagation
Pbdml
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13
Oxygenjs
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13
This a JavaScript Library for the Numerical Javascript and Machine Learning
Awesome Ml
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13
Curated list of Machine Learning/Data Science resources
Rseslib
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13
Rough set and machine learning data structures, algorithms and tools, including algorithms for discernibility matrix, reducts, decision rules, classification (RoughSet, KNN, RIONIDA, AQ15, C4.5, SVM, NeuralNetwork and many others), discretization (1R, Entropy Minimization, ChiMerge, MD), and tool for interactive and explainable machine learning.
Kerasvggcifar10
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12
Keras VGG implementation for CIFAR-10 classification Tutorial
Mathematics For Machine Learning Linear Algebra
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12
Recommendbyitemcf
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11
Hadoop mapreduce. 基于ItemCF的协同过滤 物品推荐系统 Collaborative filtering goods recommendation system based on ItemCF
Mlr
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11
Multiple linear regression with statistical inference, residual analysis, direct CSV loading, and other features
Svmalgorithm
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10
Python Implementation of SVM Algorithm based on Papers and courses cited in README.md
Learn_numpy
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10
We design this course with 9 lessons to help beginners can quickly understand and utilize this useful library.
Mcam Numpy
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9
Low-rank Matrix Completion using Alternating Minimization
Myalgorithms
⭐
9
simple implementations of DL ML Matrix and DataStructures
Seal Fyp Logistic Regression
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9
My Final Year Project using Microsoft SEAL: Logistic Regression over Encrypted Data.
Nmf Ml
⭐
9
Multi-layer non-negative matrix factorization MATLAB implementation.
Numerical Optimization Machine Learning
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9
Codes for popular numerical optimization methods and machine learning algorithms
Nlputils
⭐
9
Library for analysing text documents: tf-idf transformation, computing similarities, visualisation, etc.
Minimind
⭐
8
A Minimalist Machine Learning Library written in Swift
St_analysis
⭐
8
A toolset for analysis and visualisation of Spatial Transcriptomics datasets.
Mf Pytorch
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8
Matrix Factorization reimplementation with pytorch
Device_matrix
⭐
8
The device_matrix library is a lightweight, transparent, object-oriented and templated C++ library that encapsulates CUDA memory objects (i.e., tensors) and defines common operations on them.
Cu2rec
⭐
8
CUDA Implementation of Parallel Matrix Factorization Algorithm for Recommender Systems
Movies Recommender
⭐
8
A system to recommend movies according to ratings provided by users using Collaborative Filtering Learning Algorithm.
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