Machine Learning
Showing 25 of 601 projects
A Ruby gem for building LLM-powered applications with a unified interface for multiple providers, RAG systems, and AI assistants.
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control.
A deep learning-based facial detection library for Python with facial landmark extraction.
A web-based labeling tool for creating semantic segmentation training data from 2D images and 3D point clouds.
A recurrent neural network that generates classical music using LSTM layers and convolutional-inspired architecture.
A Julia machine learning framework providing a unified interface and meta-algorithms for over 200 models.
A deep learning library in Rust featuring shape-checked tensors and neural networks with compile-time safety.
A deep learning library for Rust featuring shape-checked tensors and neural networks with compile-time safety.
A curated list of resources for adversarial machine learning, covering attacks, defenses, and research.
Automatically visualize any dataset with a single line of code, including data quality assessment and fixes.
A minimal benchmark comparing scalability, speed, and accuracy of popular open-source machine learning libraries for binary classification.
A JAX research toolkit for building, editing, and visualizing neural networks as legible, functional pytree data structures.
A high-performance Python package for fast, multi-threaded manipulation of large tabular datasets, inspired by R's data.table.
A curated list of awesome Apache Spark packages, libraries, and resources for data engineers and scientists.
A Python library for probabilistic prediction using natural gradient boosting, built on scikit-learn.
A self-contained machine learning and natural language processing library written in pure Go with a dynamic computational graph.
A real-time baseline 3D multi-object tracking system using LiDAR point clouds, combining 3D Kalman filter and Hungarian algorithm.
Original DeepMind DQN 3.0 implementation for Atari game reinforcement learning, with community tweaks.
A library for creating TensorFlow models that handle structured data with dynamic computation graphs using dynamic batching.
A collection of interactive machine learning experiments with Jupyter notebooks for training and browser demos for visualization.
An abstraction layer over MetalPerformanceShaders for crafting and running fast neural networks on iOS using TensorFlow models.
A curated collection of high-quality deep learning resources, including courses, books, papers, libraries, and datasets.
A curated collection of academic papers on data mining and machine learning techniques for fraud detection across various domains.
A lambda architecture framework on Apache Spark and Kafka for building and deploying real-time large-scale machine learning applications.
An open-source Python toolkit providing a comprehensive collection of algorithms for interpreting and explaining machine learning models and datasets.
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