Machine Learning
Showing 36 of 1845 projects
A Go library implementing Genetic Algorithm and Particle Swarm Optimization for solving optimization problems.
A Julia package for efficient Receiver Operating Characteristic analysis, including ROC/DET plotting, cost function analysis, and performance metrics for probabilistic binary classifiers.
A TensorFlow wrapper for the D programming language, providing C API bindings and integration with Mir for numerical computing.
A 3-layer neural network library for iOS implementing Back Propagation Neural Network (BPN) with QuickProp and Kecman's theory.
A BERT-based model that answers questions from a given text corpus, deployable as a Docker container.
An open-source quantitative crypto trading bot framework for backtesting and live trading with multi-coin, multi-timeframe strategies.
A high-level linter and static analyzer for Python data science code that detects potential issues like data leakage and non-reproducibility.
A Ruby implementation of Naive Bayes text classification designed as a strategy for the OmniCat classification framework.
A TensorFlow-based image segmentation model that assigns each pixel in an image to one of 21 object classes from the PASCAL VOC dataset.
A curated collection of resources, papers, and implementations for training Generative Adversarial Networks (GANs).
A JavaScript library implementing clustering algorithms for both Node.js and browser environments.
JavaScript implementation of multivariate Gaussian mixture model for unsupervised clustering of offline and real-time data streams.
A PyCon Canada 2016 session demonstrating neural network basics and data-driven code reuse with simple Python examples.
A V programming language module for creating and training multi-layer neural networks with backpropagation.
SKBEL - Bayesian Evidential Learning framework built on top of scikit-learn.
A JAX/Flax implementation of the Fréchet Inception Distance (FID) metric for evaluating generative models.
A Swift framework for building fast and extensible genetic algorithms with support for multiple platforms.
A flexible AutoML library for Python that automates model selection and hyperparameter tuning for regression and classification tasks.
A Crystal shard providing artificial intelligence algorithms, including neural networks, ported from the AI4R library.
A German ELMo deep contextualized word representation model trained on a specialized German Wikipedia text corpus for NLP tasks.
A Python package that integrates an LLM copilot into Keras model development to provide performance improvement suggestions.
A personal learning repository for implementing neural networks and machine learning models using Torch in Lua.
A pre-trained deep learning model for image classification that identifies 1000 object classes using the Inception-ResNet-v2 architecture.
A TensorFlow-based model that generates text summaries using pointer-generator networks, deployable as a Docker container.
An open-source JavaScript library implementing machine learning algorithms for educational purposes with interactive visualizations.
Universal 1D/2D data containers with sklearn-compatible transformers for heterogeneous tabular data analysis.
A TensorFlow-based GAN model that automatically adds color to black and white images.
MiraiML: asynchronous, autonomous and continuous Machine Learning in Python
A workflow engine that unifies feature engineering and machine learning using a column-oriented data processing paradigm.
A JupyterLab extension for managing GPU environments, enabling interactive control and monitoring of GPU resources for notebooks.
A machine learning project that predicts wine quality using R and MATLAB scripts with PCA visualization.
A Go library using Cgo for blazing fast inference of CatBoost gradient boosting models.
An Elixir port of Nakatani Shuyo's natural language detection library, supporting 55 languages.
A TensorFlow-based model that generates English-language text similar to news articles from the One Billion Word Benchmark dataset.
A deep learning model that detects mitosis in breast cancer tumor cell images to assist in tumor proliferation scoring.
A machine learning solution for Amazon's access control challenge, predicting employee resource access needs.
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