Machine Learning
Showing 36 of 1845 projects
A dependency-free statistics, linear algebra, and machine learning library for the V programming language, focused on product analytics.
Generates interactive R Markdown interfaces for h2o MOJO model files to explore predictions and model details.
A single-script tool to set up and maintain TensorFlow machine learning projects with environment management and linting.
A fast Single Layer Perceptron library for Deno, written in Rust and TypeScript with Foreign Function Interface (FFI).
A comprehensive summary of research papers and methodologies in real-time bidding budget pacing algorithms.
An adaptive mobile transit app that shows real-time bus arrival information and predicts user route preferences using machine learning.
A MATLAB/Octave implementation of the clugen algorithm for generating multidimensional clusters with arbitrary distributions.
A robust Rust library for regression analysis with sklearn-style estimators and full statistical inference.
Transpiles H2O POJO models to JavaScript for browser-based execution using JSweet and browserify.
A TypeScript library providing text vectorization, image processing, and ML metrics utilities for machine learning workflows.
An adaptive mobile transit app that shows real-time bus arrival information and predicts user route preferences using machine learning.
A header-only C++11 library using OpenCV for high-throughput image-based plant phenotyping.
A collection of plug-and-play TensorFlow/Keras deep learning models and architectures for easy integration.
A deep learning model for predicting cancer drug response using data enhancement and edge-collaborative update strategies.
A Ruby library for designing, processing, and training artificial neural networks.
A Python library for handling datasets in an XSLX-based format with conversion to ARFF, CSV, and FilelessDataset structures.
A lightweight automatic differentiation library with PyTorch-like API and NumPy compatibility for reverse-mode gradient computation.
A framework for encrypted machine learning in TensorFlow using secure multi-party computation and homomorphic encryption.
A Raku implementation of Naive Bayes classifiers for text classification with Multinomial and Bernoulli solvers.
A minimalistic starter pack for finetuning and interacting with HuggingFace Transformers NLG models using PyTorch Lightning.
A curated list of resources for the Neuraxle machine learning framework, including examples, articles, courses, and community links.
A multi-channel neural network for predicting compound-protein interactions using molecular and protein sequence embeddings.
A Python library for comprehensive machine learning model evaluation with plots, reports, experiment tracking, and notebook analysis.
A Julia wrapper for the Smile C++ engine, providing access to Bayesian networks and influence diagrams for probabilistic modeling.
A decentralized CNN classification service that distributes pre-trained image models across Golem network nodes for scalable predictions.
A Lua FFI wrapper for the LibLBFGS C library, providing a limited-memory BFGS optimization solver.
Python package for streamlined training, evaluation, and prediction of ML models on cleaned datasets.
A Ruby library for machine learning with NLP features including cross-validation and text feature extraction.
A Python machine learning library with CPU and GPU support for tensor operations and model development.
A neural networks library for Clojure with support for custom activation functions, serialization, and data preprocessing.
A deep learning model that identifies and segments nuclei in microscopy images using Mask R-CNN.
A Lua wrapper for Vowpal Wabbit's allreduce implementation, enabling distributed averaging across multiple machines.
A machine learning project that predicts flight ticket prices using airline, route, and timing data.
A PyTorch library providing datasets, transformations, and pretrained models for biological cellular systems.
Implementation of the Partitioning Around Medoids (PAM) clustering algorithm within the H2O-3 machine learning platform.
A Ruby gem for building generative machine learning models from time series data.
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