Machine Learning
Showing 36 of 1845 projects
An open-source framework that enables AI agents to learn from experience through a persistent learning loop, improving performance over time.
Identifies compilers, packers, obfuscators, and other characteristics in Android APK and DEX files.
A real-time distributed analytical database built entirely on bitmaps for low-latency queries on fresh data.
A Python tutorial and cookbook for implementing Bayesian modeling techniques using PyMC3.
A Go library that simplifies TensorFlow's Go bindings with method chaining, automatic scoping, and type conversion.
HyperLearn provides 2-2000x faster machine learning algorithms with 50% less memory usage, optimized for all hardware.
A curated collection of research papers on decision, classification, and regression trees with implementations from top ML conferences.
Rust bindings for the OpenCV computer vision library, enabling Rust developers to leverage OpenCV's capabilities.
A ROS/ROS2 multi-robot simulator for autonomous vehicles, built on Unity HDRP for high-fidelity testing.
A Jupyter Notebook kernel and interactive REPL for Go (golang) that enables interactive programming and data analysis.
A curated list of community detection research papers with implementations.
An open-source framework for machine learning and other computations on decentralized data.
An intuitive Python library that adds single-line plotting functions for scikit-learn and other machine learning objects.
A machine learning package implementing message passing neural networks for predicting molecular and reaction properties.
A Python library for graph deep learning built on Keras and TensorFlow 2, providing flexible tools for graph neural networks.
A modular toolkit for machine learning, natural language processing, and text generation with TensorFlow and PyTorch versions.
A high-level neural network API for specifying and analyzing infinite-width neural networks as Gaussian Processes in Python.
A C++ library for fast approximate nearest neighbor searches in high-dimensional spaces with automatic algorithm selection.
A curated list of resources, tools, and applications for OpenAI's Whisper speech recognition model.
A modular active learning framework for Python built on scikit-learn, enabling rapid creation of custom workflows.
A modular active learning framework for Python built on scikit-learn, enabling rapid creation of custom workflows.
A large-scale dataset of object-centric video clips with 3D bounding box annotations and AR metadata for 3D object detection research.
A Python library for automatic differentiation that generates readable Python source code as its derivative output.
A machine learning framework for developing high-frequency trading strategies using full orderbook tick data.
A gradient processing and optimization library for JAX, designed for research with composable building blocks.
A gradient processing and optimization library for JAX, designed for research with composable building blocks.
A Python library for audio data augmentation to improve the robustness of audio machine learning models.
An API-oriented Python framework for unsupervised learning on graphs, featuring node/graph embeddings and community detection.
A modular, high-throughput PyTorch framework for deep reinforcement learning research, supporting policy gradient, deep Q-learning, and Q-function policy gradient algorithms.
A minimal, well-tested library for training and using feedforward artificial neural networks in ANSI C.
A high-performance C++ image processing and machine learning library optimized with SIMD instructions across multiple CPU architectures.
A Python library for feature engineering and selection with scikit-learn compatible transformers.
Official TensorFlow Python wheels for Raspberry Pi, enabling machine learning on edge devices.
A dataset of 129.6 million computer-generated building footprint polygons for the United States, derived from satellite imagery.
An open source Python library and framework for building computer vision models on satellite, aerial, and large imagery sets.
A curated list of libraries, tutorials, and resources for implementing machine learning in the Ruby programming language.
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