Machine Learning
Showing 36 of 1845 projects
A Python library for creating adversarial attacks against Windows malware detectors to evaluate their robustness.
A JAX-based probabilistic programming framework using nested sampling for fast Bayesian inference and evidence computation.
A curated list of open-source software tools for medical imaging research, including segmentation, visualization, and deep learning libraries.
Python-based implementations of algorithms for learning on imbalanced data.
A Python library that simplifies using, finetuning, and deploying state-of-the-art machine learning models for various AI tasks.
A curated collection of papers, datasets, tools, and resources for applying machine learning to small-molecule drug discovery.
Course materials for GWU's Data Mining and Machine Learning classes covering preprocessing, modeling, and practical Kaggle applications.
An idiomatic Clojure machine learning library providing a unified interface for classification, regression, and unsupervised models.
A Python library for annotation-aware musical data augmentation to improve statistical model training.
A JAX library for distributions, bijections, and normalizing flows implemented as Equinox modules.
A real-time object-level reconstruction system for 6D pose estimation using volumetric fusion and multi-object reasoning.
A scikit-learn compatible Python implementation of the Relevance Vector Machine for sparse Bayesian learning.
A comprehensive and extensible natural language processing toolkit for Common Lisp, supporting custom pipelines and experimentation.
A curated list of amusing Markov chain outputs and generators for entertainment and inspiration.
An open-source remote sensing dataset and pipeline for agricultural land use classification, featuring 95,186 datapoints with satellite and climatology data.
Turn Godot projects into OpenAI Gym environments for training reinforcement learning models with PyTorch via shared memory.
A real-time Bitcoin price prediction system using LSTM models and Twitter sentiment analysis.
A curated collection of learning resources, R packages, and practical examples for understanding and applying topic modeling techniques.
A fast feature selection algorithm for tree-based models like XGBoost, designed to outperform Boruta in speed and performance.
A PyTorch frontend for JAX that enables running PyTorch code on TPUs and provides seamless PyTorch-JAX interoperability.
A curated list of summer schools in neuroscience and related fields, organized by application deadlines.
A Python library for stacked generalization (ensemble learning) that supports scikit-learn, XGBoost, and Keras models with out-of-fold prediction saving.
A Julia library for representation, inference, and learning in Bayesian networks.
A PyTorch-based Python package for deep and machine learning analysis of microscopy data, designed for domain scientists.
A Python library for evaluating binary classifiers in machine learning ensembles using Shapley value computation and approximation methods.
BLLIP reranking parser (also known as Charniak-Johnson parser, Charniak parser, Brown reranking parser) See http://pypi.python.org/pypi/bllipparser/ for Python module.
An iOS library that applies artistic styles to images using Core ML and pre-trained neural style transfer models.
A Ruby wrapper for Apache Spark, enabling large-scale data processing with Ruby's expressive syntax.
An API conversion tool providing Gymnasium and PettingZoo bindings for popular external reinforcement learning environments.
A Go implementation of the TextRank algorithm for automatic text summarization, phrase extraction, and keyword ranking with multithreading support.
A Python library for monitoring model and data drift over time, generating insightful HTML reports for AI governance.
A flexible genetic algorithm library for Go, enabling optimization and simulation through configurable components.
Deep reinforcement learning framework for financial trading using price trailing, implemented with Keras-RL for Forex markets.
A large-scale driving behavior dataset with LiDAR point clouds, dashboard videos, and sensor data for autonomous driving research.
A Node.js library implementing Decision Tree (ID3/CART), Random Forest, and XGBoost algorithms with TypeScript support and automatic data type detection.
A pure C99 ONNX runtime with zero dependencies, designed for embedded devices and old hardware.
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