237 Open source projects that are alternatives of or similar to pyowl

🍊 📊 💡 Orange: Interactive data analysis

LAMA - automatic model creation framework

MATLAB code for Relevance Vector Machine using SB2_Release_200.

Image Denoising Codes using STROLLR learning, the Matlab implementation of the paper in ICASSP2017

Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.

Simple Genetic Programming for Symbolic Regression in Python3

recheck for web apps – change comparison tool with local Golden Masters, Git-like ignore syntax and "Unbreakable Selenium" tests.

(117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.

Simple API for UCI Machine Learning Dataset Repository (search, download, analyze)

Microeconometric estimation in Julia

[CVPR 2021] Exploring Sparsity in Image Super-Resolution for Efficient Inference

Code and Resources for "Applied Machine Learning"

In this repository you can find many different, small, projects which demonstrate regression techniques using python programming language

A research library for pytorch-based neural network pruning, compression, and more.

A generalizable application framework for segmentation, regression, and classification using PyTorch

An R Port of Stata's 'margins' Command

A chess library for PHP.

Math.NET Numerics

Examples of Data Science projects and Artificial Intelligence use cases

Scala Library/REPL for Machine Learning Research

A Clojure machine learning library

Seq2Seq, Bert, Transformer, WaveNet for time series prediction.

Machine learning for beginner(Data Science enthusiast)

Powerful modern math library for PHP: Features descriptive statistics and regressions; Continuous and discrete probability distributions; Linear algebra with matrices and vectors, Numerical analysis; special mathematical functions; Algebra

All Machine Learning Algorithms

Attention-Based Guided Structured Sparsity of Deep Neural Networks

Snape is a convenient artificial dataset generator that wraps sklearn's make_classification and make_regression and then adds in 'realism' features such as complex formating, varying scales, categorical variables, and missing values.

run a multitude of classifiers on you data and get an AUC report

Unsupervised Machine Learning: Nonnegative Tensor Factorization + k-means clustering

Project Page of Combining 3D Morphable Models: A Large scale Face-and-Head Model - [CVPR 2019]

Intel® Neural Compressor (formerly known as Intel® Low Precision Optimization Tool), targeting to provide unified APIs for network compression technologies, such as low precision quantization, sparsity, pruning, knowledge distillation, across different deep learning frameworks to pursue optimal inference performance.

REPO MOVED TO https://repetere.github.io/jsonstack-model - Deep Learning Classification, Clustering, LSTM Time Series and Regression with Tensorflow

Learning both Weights and Connections for Efficient Neural Networks https://arxiv.org/abs/1506.02626

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.

simple statistics for node & browser javascript

library of numerical methods using Armadillo

Lecture Slides and R Sessions for Trevor Hastie and Rob Tibshinari's "Statistical Learning" Stanford course

Synthetic Minority Over-Sampling Technique for Regression

Apparel detection using deep learning

Codes and Datasets for paper RecSys'20 "SSE-PT: Sequential Recommendation Via Personalized Transformer" and NurIPS'19 "Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers"

The foundational library of the Morpheus data science framework

Tidy, Type-Safe 'prediction()' Methods

Build a CNN network to predict 3D bounding box of car from 2D image.

Statistical Models with Regularization in Pure Julia

Rust numeric library with R, MATLAB & Python syntax

Bob is a free signal-processing and machine learning toolbox originally developed by the Biometrics group at Idiap Research Institute, in Switzerland. - Mirrored from https://gitlab.idiap.ch/bob/bob

🔗 Methods for Correlation Analysis

A Jupyter notebook where I play with my Goodreads data

Collection of stats, modeling, and data science tools in Python and R.

A random forest

R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.

Codice sorgente ed Errata Corrige del mio libro "A tu per tu col Machine Learning"

Code for Java Deep Learning Cookbook

R interface for Fixed Effect Models

Repository for source code of kaggle competition: House Prices: Advanced Regression Techniques

Software for learning sparse Bayesian networks

A package for AFM image reconstruction and compressed sensing in general

Hyperstar: Negative Sampling Improves Hypernymy Extraction Based on Projection Learning.

Julia package of regularization functions for machine learning

🧠👨‍💻Deep Learning Specialization • Lecture Notes • Lab Assignments