Machine Learning
Showing 36 of 1845 projects
A curated collection of resources for Go-based data analysis, visualization, machine learning, and data science.
A hands-on tutorial for training and deploying a machine learning model as a serverless REST API to predict cryptocurrency prices.
An automated feature generation framework for tabular data that discovers expert-level features to boost machine learning model performance.
An open-source framework for building multi-modal geospatial ML models that fuse satellite, drone, and weather data for agriculture and sustainability insights.
Sample applications demonstrating how to use AWS Amazon Machine Learning for targeted marketing, social media filtering, and mobile predictions.
An open-source suite featuring financial large language models (FinMA), instruction datasets (FIT), and evaluation benchmarks (FinBen) for financial AI.
A learned index structure enabling fast lookups, range searches, and updates on billions of items with minimal space usage.
Swift SDK for integrating IBM Watson AI services like speech, language, and assistant into iOS and Linux applications.
A Python library for building high-performance, memory-efficient ensemble learning networks with a Scikit-learn compatible API.
Pythonic orchestration tool for AI/ML, HPC, and quantum computing workflows across heterogeneous compute environments.
A Python toolbox for visualizing feature influence on model predictions using partial dependence plots.
Catalyst is a high-performance C# NLP library inspired by spaCy, offering pre-trained models, entity recognition, and embedding training.
A diverse suite of scalable reinforcement learning environments written in JAX for hardware-accelerated research.
A curated collection of papers, code, and datasets for deep learning and multimodal learning in video analysis.
An OpenAI Gym extension for robotics simulation using ROS and Gazebo to benchmark and develop robot behaviors.
A minimal 200-line implementation of a sequence-to-sequence chatbot using TensorLayer and TensorFlow.
A deep learning library for Ruby that provides a native interface to LibTorch, enabling GPU-accelerated neural network development.
A Ruby deep learning library powered by LibTorch, providing a PyTorch-like API for Ruby developers.
A Ruby API for TensorFlow, enabling machine learning and deep learning within Ruby applications.
A chess AI that learns to play chess using deep learning and neural networks.
A universal model exchange and serialization format for decision tree forests, enabling cross-platform deployment.
A model-agnostic method for generating high-precision rule-based explanations for black-box classifier predictions.
A Go library for naive Bayesian classification and TF-IDF calculations on string sets.
A fast implementation of random forests for classification, regression, and survival analysis, optimized for high-dimensional data.
A Ruby wrapper for OpenCV, enabling computer vision and image processing in Ruby applications.
A Python package for applying graph neural networks to molecular graphs and biological networks in life science research.
A comprehensive Swift framework providing AI/ML algorithms including neural networks, SVMs, genetic algorithms, and MDPs with GPU acceleration.
A comprehensive Swift framework providing AI/ML algorithms including neural networks, SVMs, PCA, genetic algorithms, and MDPs with GPU acceleration support.
A Python machine learning package for incremental learning on streaming data with concept drift detection.
A scalable machine learning library for training Generalized Linear Models and GLMix models on Apache Spark.
An OpenAI Gym environment for stock market trading simulation with Deep Q-learning and Policy Gradient implementations.
A pure Java machine learning library with no external dependencies, offering a wide collection of algorithms and parallel execution support.
A modular deep learning framework for PyTorch to build neural networks on heterogeneous tabular data.
A convolutional neural network program that identifies inverted Chinese character captchas used by Zhihu for login verification.
A TensorFlow implementation for generating semantically segmented bird's eye view images from multiple vehicle-mounted cameras using a Sim2Real deep learning approach.
A collection of IPython notebooks demonstrating data analysis and machine learning techniques on security datasets.
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