Top machine-learning-algorithms open source projects

Implemented here a Binary Neural Network (BNN) achieving nearly state-of-art results but recorded a significant reduction in memory usage and total time taken during training the network.

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python machine-learning-algorithms reduction neural-networks bnns binary-neural-networks

vlainic.github.io

My GitHub blog: things you might be interested, and probably not...

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blog docker education data-science machine-learning reinforcement-learning ai machine-learning-algorithms prediction datascience aws-ec2 nlp-machine-learning prediction-algorithm prediction-model

machine-learning-implemetation-python

Basic Machine Learning implementation with python

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Jupyter Notebook python machine-learning linear-regression machine-learning-algorithms multinomial-naive-bayes k-means-implementation-in-python newton-method multiclass-logistic-regression gaussian-naive-bayes-implementation naive-bayes-implementation perceptron-algorithm gaussian-discriminant-analysis logistic-regression-scratch multiclass-gda-implementation wrapper-me

Cerbo

Perform Efficient ML/DL Modelling easily

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python TeX machine-learning deep-learning neural-network machine-learning-algorithms cerbo

AI Learning Hub

AI Learning Hub for Machine Learning, Deep Learning, Computer Vision and Statistics

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HTML ruby machine-learning statistics deep-neural-networks deep-learning machine-learning-algorithms generative-model gaussian-mixture-models regularization expectation-maximization-algorithm variational-inference svm-classifier learningnotes learning-theory k-means-clustering perceptron-learning-algorithm discriminant-analysis

bristol

Parallel random matrix tools and complexity for deep learning

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Jupyter Notebook python shell deep-learning machine-learning-algorithms statistical-mechanics deep-learning-papers complexity-analysis neural-architecture-search complexity-measure random-matrix-theory spin-glass ergodicity random-matrices circular-ensembles deep-learning-complexity

Moo-GBT

Library for Multi-objective optimization in Gradient Boosted Trees

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python machine-learning machine-learning-algorithms constrained-optimization multi-objective-optimization gradient-boosted-trees

FinRL Podracer

Cloud-native Financial Reinforcement Learning

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python machine-learning-algorithms deep-reinforcement-learning openai-gym pytorch quant quantitative-finance algorithmic-trading

pyspark-ML-in-Colab

Pyspark in Google Colab: A simple machine learning (Linear Regression) model

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Jupyter Notebook spark hadoop machine-learning-algorithms pyspark regression-models rdd colab-notebook

bihm

Bidirectional Helmholtz Machines

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python theano machine-learning-algorithms

GDLibrary

Matlab library for gradient descent algorithms: Version 1.0.1

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matlab machine-learning big-data newton optimization svm linear-regression machine-learning-algorithms statistical-learning classification logistic-regression gradient gradient-descent softmax-regression optimization-algorithms matrix-completion multinomial-regression rosenbrock-problem

sia-cog

Various cognitive api for machine learning, vision, language intent alalysis. Covers traditional as well as deep learning model design and training.

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python c Cuda machine-learning deep-neural-networks web deep-learning machine-learning-algorithms api-client deep-learning-algorithms

Soomvaar

Soomvaar is the repo which 🏩 contains different collection of 👨‍💻🚀code in Python and 💫✨Machine 👬🏼 learning algorithms📗📕 that is made during 📃 my practice and learning of ML and Python✨💥

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Jupyter Notebook opencv tensorflow numpy machine-learning-algorithms keras pandas machinelearning hacktoberfest-accepted hacktoberfest2021

mnist-neural-network-deeplearnjs

🍃 Using a Neural Network to recognize MNIST digets in JavaScript.

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javascript HTML CSS machine-learning deep-neural-networks deep-learning neural-network machine-learning-algorithms neural-networks deeplearning neural-network-example

mlreef

The collaboration workspace for Machine Learning

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kotlin javascript python SCSS shell ruby data-science machine-learning deep-learning mxnet tensorflow models machine-learning-algorithms pytorch artificial-intelligence deeplearning reproducibility mlops mlops-environment

Sales-Prediction

In depth analysis and forecasting of product sales based on the items, stores, transaction and other dependent variables like holidays and oil prices.

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Jupyter Notebook sales machine-learning-algorithms prediction forecasting regression-models prediction-algorithm prediction-model

books-ML-and-DL

.pdf Format Books for Machine and Deep Learning

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machine-learning books deep-learning book machine-learning-algorithms buku online-learning

Multi-Type-TD-TSR

Extracting Tables from Document Images using a Multi-stage Pipeline for Table Detection and Table Structure Recognition:

xgboost-smote-detect-fraud

Can we predict accurately on the skewed data? What are the sampling techniques that can be used. Which models/techniques can be used in this scenario? Find the answers in this code pattern!

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Jupyter Notebook machine-learning data-mining analytics machine-learning-algorithms data-visualization datascience data-analysis fraud-prevention fraud-detection fraud sampling-methods skewness skew-correction

Clustering Algorithms from Scratch

Implementing Clustering Algorithms from scratch in MATLAB and Python

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Jupyter Notebook python matlab cluster machine-learning-algorithms unsupervised-learning cluster-analysis clustering-benchmark clustering-methods clustering-analysis subspace-clustering clustering-models clustering-algorithms tutor-milaan9

cheapml

Machine Learning algorithms coded from scratch

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r data-science machine-learning random-forest machine-learning-algorithms regression from-scratch gradient-boosting regression-trees demystify

awesome-computer-vision-models

A list of popular deep learning models related to classification, segmentation and detection problems

greycat

GreyCat - Data Analytics, Temporal data, What-if, Live machine learning

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java javascript SCSS typescript CSS HTML nodejs machine-learning node time-series machine-learning-algorithms bigdata data-analytics data-analysis graph-database distributed-database machine-learning-library temporal greycat

pycobra

python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.

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python TeX visualization scikit-learn machine-learning-algorithms visualisation regression classification ensemble-learning machine-learning-library voronoi-diagram aggregation predictor

MLDemos

Machine Learning Demonstrations: A graphical interface to draw data, apply a diverse array of machine learning tools to it, and directly see the results in a visual and understandable manner.

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C++HTML QMake c GLSL shell ocaml machine-learning machine-learning-algorithms visualisation data-visualization

rankpruning

🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.

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Jupyter Notebook python training machine-learning machine-learning-algorithms ranking semi-supervised-learning binary-classification denoising learning-with-errors rank-pruning-algorithm noise-rates noisy-learning mislabeling learning-with-confident-examples

OLSTEC

OnLine Low-rank Subspace tracking by TEnsor CP Decomposition in Matlab: Version 1.0.1

ml course

"Learning Machine Learning" Course, Bogotá, Colombia 2019 #LML2019

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Jupyter Notebook python machine-learning deep-learning tensorflow sklearn machine-learning-algorithms keras deep-reinforcement-learning regression classification gaussian-processes

deep-blueberry

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

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machine-learning deep-neural-networks reinforcement-learning computer-vision deep-learning machine-learning-algorithms deep-reinforcement-learning recurrent-neural-networks generative-adversarial-network deep-learning-algorithms convolutional-neural-networks deep-learning-tutorial keras-tensorflow variational-autoencoder pytorch-tutorial long-short-term-memory pytorch-implementation

Statistical-Learning-using-R

This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.

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r machine-learning-algorithms statistical-learning datascience data-analysis logistic-regression regularization decision-trees predictive-modeling polynomial-regression clustering-algorithm svm-classifier k-nn boosting generalized-additive-models supervised-machine-learning bagging depth-interpretation discriminant-anlaysis

RobustPCA

No description or website provided.

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python scikit-learn machine-learning-algorithms pca-analysis robust-pca

densratio py

A Python Package for Density Ratio Estimation

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python Makefile machine-learning machine-learning-algorithms machine-learning-library anomalydetection density-ratio-estimation

lolo

A random forest

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scala Jupyter Notebook python random-forest machine-learning-algorithms regression uncertainty classification jackknife-variance-estimates

Heart disease prediction

Heart Disease prediction using 5 algorithms

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Jupyter Notebook machine-learning data-mining random-forest clustering naive-bayes machine-learning-algorithms supervised-learning logistic-regression machinelearning k-nearest-neighbours heart-disease disease-prediction dicision-tree heart-disease-predictor

scikit-learn-intelex

Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application

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python C++cython shell CMake c Batchfile machine-learning big-data analytics gpu scikit-learn machine-learning-algorithms intel data-analysis ai-training oneapi ai-inference swrepo ai-machine-learning

machine-learning-templates

Template codes and examples for Python machine learning concepts

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python r machine-learning examples templates sklearn machine-learning-algorithms machine-learning-models

Time-Series-Analysis-and-Forecasting-with-Python

No description or website provided.

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HTML Jupyter Notebook time machine-learning-algorithms stats time-series-analysis stats-api arima-model arima-forecasting

data sciences campaign

【数据科学家系列课程】

Plant-Disease-Identification-using-CNN

Plant Disease Identification Using Convulutional Neural Network

osdg-tool

OSDG is an open-source tool that maps and connects activities to the UN Sustainable Development Goals (SDGs) by identifying SDG-relevant content in any text. The tool is available online at www.osdg.ai. API access available for research purposes.

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