Machine Learning
Showing 36 of 1845 projects
Chinese-language notes for NYU's Financial Machine Learning course, covering core concepts and practical applications.
A Node.js library for machine learning with linear regression and k-means clustering algorithms.
Easy and comprehensive assessment of predictive power, with support for neuroimaging features
A Julia wrapper for fitting Lasso and ElasticNet GLM models using the glmnet Fortran library.
A small Clojure library for constructing and training neural networks using core.matrix.
A pre-trained language model for single-cell RNA sequencing data that encodes cell-cell relations and accelerates inference for downstream tasks.
A Python library for learning Bayesian network structure from observational and interventional data with support for missing values and parallel execution.
A JAX-based framework for approximate inference in Markov Gaussian processes using iterated Kalman smoothing.
A flexible deep learning framework for Ruby, ported from Python's Chainer.
Clojure wrapper for deeplearning4j
A Go library for scoring machine learning models using PMML, supporting neural networks, decision trees, random forests, and gradient boosted models.
A minimal pure Python implementation of reverse-mode automatic differentiation (autograd) for educational purposes.
A curated collection of resources and survey paper on relational deep learning methods for drug pair scoring tasks.
A genetic programming library for Clojure that evolves programs using mutation, reproduction, and fitness functions.
A curated collection of readings and resources for relational deep learning models applied to drug pair scoring tasks.
A PMML evaluator library for Apache Spark that provides ML-compatible transformers for deploying predictive models.
A Clojure wrapper for Deeplearning4j, providing idiomatic access to neural networks, data import, and distributed training.
An Elixir framework for evolutive neural networks with a modular DSL and OTP-based architecture.
A Ruby implementation of k-means clustering with k-means++ initialization, silhouette scoring, and multiple runs for optimal results.
A Keras implementation of Ladder Networks for semi-supervised learning, achieving 98% accuracy on MNIST with only 100 labeled examples.
A simplistic neural network library written in Go with support for single hidden layer and back-propagation learning.
A Ruby library for building and training recurrent neural networks using the TLearn simulator.
A simple yet essential Python framework for Bayesian optimization, enabling efficient hyperparameter tuning and black-box function optimization.
An experimental extension to Torch7's nn package, providing unproven neural network modules and optimizations.
A Julia package implementing manifold learning and nonlinear dimensionality reduction algorithms.
A training pipeline to generate four distinct AI NPC personality weight bundles for a Zelda-style N64 game, enabling byte-level transformer inference on the console's CPU.
An automated pipeline for organelle segmentation, tracking, and hierarchical feature extraction in 2D/3D live-cell microscopy.
A Julia package providing multiple algorithms for non-negative matrix factorization, including multiplicative updates, ALS, coordinate descent, and separable NMF.
A toolkit for evaluating and monitoring machine learning models in clinical healthcare settings.
An all-in-one tool for creating, training, debugging, and sharing HTM neural networks using the original NuPIC library.
An open dataset for learning-based temporal analysis of PE malware, containing over 130,000 Windows PE files with feature vectors and metadata.
A high-level Python toolbox for topic modeling with easy-to-use functions and command-line interface.
A TensorBoard JupyterLab plugin that integrates TensorBoard directly into JupyterLab with improved user experience and long-term maintenance.
A curated list of software, datasets, and publications for image-based profiling of biological phenotypes in drug discovery and cell biology.
A collection of tools, datasets, and approaches for building natural language interfaces to query the Web of Data.
A curated list of software, datasets, and publications for image-based profiling of biological phenotypes in drug discovery and cell biology.
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