88 Open source projects that are alternatives of or similar to Ristretto

OCR Machine Learning in python

R Interface to the Spectra Library for Large Scale Eigenvalue and SVD Problems

In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.

Numerical analysis course in Python

A collection of Poisson lognormal models for multivariate count data analysis

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

tf-recsys contains collaborative filtering (CF) model based on famous SVD and SVD++ algorithm. Both of them are implemented by tensorflow in order to utilize GPU acceleration.

Workshop on tidytranscriptomics: Performing tidy transcriptomics analyses with tidybulk, tidyverse and tidyheatmap

machine learning algorithms in Swift

No description or website provided.

Playing with MNIST. Machine Learning. Generative Models.

Imputation method for scRNA-seq based on low-rank approximation

Maximum Covariance Analysis in Python

Efficient similarity search and clustering for Ruby

Implement face recognition using PCA, LDA and LPP

PCA that iteratively replaces missing data

📊 Computation and processing of models' parameters

A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.

Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language

Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. Now almost entirely superseded by the models-by-example repo.

Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles

HoG, PCA, PSO, Hard Negative Mining, Sliding Window, Edge Boxes, NMS

🏗 Statistical models for biomolecular dynamics 🏗

Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.

Explore high-dimensional datasets and how your algo handles specific regions.

Fast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.

pyRecLab is a library for quickly testing and prototyping of traditional recommender system methods, such as User KNN, Item KNN and FunkSVD Collaborative Filtering. It is developed and maintained by Gabriel Sepúlveda and Vicente Domínguez, advised by Prof. Denis Parra, all of them in Computer Science Department at PUC Chile, IA Lab and SocVis Lab.

A 100x faster SVD for PyTorch⚡️