Machine Learning
Showing 36 of 1845 projects
A cheminformatics modeling laboratory for fitting and assessing machine learning models, tailored to virtual screening for drug discovery.
A Haskell implementation of Hopfield networks for unsupervised learning and pattern storage.
A machine learning game that asks questions to guess objects using Bayesian inference and entropy minimization.
A GitHub Action that submits Argo workflows to Google Kubernetes Engine for automated machine learning testing and CI/CD.
A Python library for training hybrid recommendation systems using scikit-learn algorithms with zero code required.
Code for Kaggle's Accelerometer Biometric Competition, featuring scripts for data analysis and baseline predictions.
A Rust CLI tool for working with OpenAI-compatible LLMs with interactive sessions, RAG support, and local memory.
Ruby bindings for Hnswlib, enabling approximate nearest-neighbor search via hierarchical navigable small world graphs.
TensorFlow implementation of a generative adversarial network for video generation with scene dynamics.
A deep learning model for image classification that identifies 1000 object classes using the ResNet-50 architecture.
A lightweight desktop tool for annotating images with rectangles and contours for computer vision tasks.
A set of Directus extensions for training, testing, and using machine learning models directly within Directus.
A Julia package implementing online mini-batch learning algorithms for predictive modeling with GLMs and SVMs.
A Java-based machine learning framework for building and training classifiers with a declarative syntax.
A Python command-line tool for encoding text sequences into vector-of-vector representations using word embeddings.
A dependency-less neural network library ported to Deno, based on Synaptic.js.
Code and slides for an ng-conf 2020 talk on training a TensorFlow.js model to recognize handwritten digits.
A Capacitor plugin for Google ML Kit Vision, enabling on-device face detection and facial feature analysis in mobile apps.
An iOS implementation of the Hebbian algorithm for unsupervised self-organizing machine learning.
A Swift library for building predictions using linear regression with simple API and statistical insights.
An iOS implementation of the Fuzzy C-Means clustering algorithm for machine learning tasks like data mining and image compression.
A base Docker image containing common dependencies for IBM Model Asset Exchange machine learning models.
Elixir implementation of the ROCK clustering algorithm for categorical data.
A collection of pandas & scikit-learn compatible transformers for preprocessing and feature engineering 🛠
A Python package for cleaning text data for NLP tasks, including language filtering, duplicate removal, and outlier detection.
An implementation of Dell Zhang's solution to Wikipedia's Participation Challenge on Kaggle.
A Torch-like deep learning framework for JavaScript with direct tensor and autograd operations.
A high-level TensorFlow framework that reduces boilerplate code and adds advanced features for deep learning applications.
Dynamic D language bindings for Microsoft's ONNX Runtime C API, supporting @nogc, nothrow, and -betterC compatibility.
A Splunk app that clusters security events from hpfeeds channels and visualizes them with D3.js parallel coordinates graphs.
A Python framework using machine learning to recover metadata from obfuscated programs via metadata recovery attacks.
A simple Ruby implementation of a genetic algorithm for solving the 1-max problem, designed for educational demonstrations.
A Ruby framework for text classification with interchangeable machine learning strategies.
A React Native app using TensorFlow.js and MobileNet for real-time object detection on mobile devices.
An AI-powered open-source recommender system engine written in Go, designed for universal integration into online services.
A Julia package for regularized linear and quadratic discriminant analysis (LDA/QDA) classification.
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