Machine Learning
Showing 36 of 1845 projects
A pretrained modeling library for Keras 3 offering simple, flexible, and fast access to models for text, image, and audio tasks.
A benchmarking platform for molecular generation models, providing datasets, implementations, and evaluation metrics for drug discovery research.
A TensorFlow implementation of QANet for machine reading comprehension on the SQuAD dataset.
A Python library for probabilistic state space modeling and inference, built on JAX.
A flexible Python framework for developing, training, and evaluating conversational AI agents in single or multi-agent environments.
Sparkling Water provides H2O functionality inside Spark cluster
A Python implementation of Restricted Boltzmann Machines for binary factor analysis and collaborative filtering.
An R interface for Apache Spark that enables distributed data processing, machine learning, and SQL queries using familiar R syntax.
A lightweight TensorFlow library for training and evaluating Generative Adversarial Networks (GANs).
A scikit-learn compatible Python module for multi-label classification tasks.
Combines the ease of use of scikit-learn with the power of Theano/Lasagne
A scalable, hardware-accelerated neuroevolution toolkit built on JAX for parallel training across TPUs/GPUs.
A curated collection of research papers on molecular and material design using generative AI and deep learning techniques.
A unified Python interface for constructing and managing workflows across engines like Argo Workflows, Tekton Pipelines, and Apache Airflow.
A uniform interface to run deep learning models from multiple frameworks like TensorFlow, PyTorch, and Keras in C++ and Python.
A fast, ergonomic machine learning library for Rust with broad algorithm coverage and WASM-first defaults.
A Recurrent Neural Network library for Torch7's nn, providing RNN, LSTM, GRU, and other sequence modeling modules.
A curated list of open-source and commercial tools for labeling and managing datasets across images, audio, time series, and text.
A strongly-typed Scala API for TensorFlow, providing functionality similar to the official Python API with additional features.
A Python API for the Argoverse dataset, providing tools for 3D tracking, motion forecasting, and HD map interaction for autonomous vehicle research.
A Python implementation of Factorization Machines for recommendation and classification tasks using stochastic gradient descent with adaptive regularization.
An open-source simulator for experimenting with and advancing self-driving AI, accessible to anyone with a PC.
A CPU and GPU-accelerated machine learning library optimized for high-performance computing.
A collaboratively maintained, reverse-chronological list of datasets and corpora for natural language processing tasks.
A curated list of awesome tutorials, blogs, and projects for the CARLA autonomous driving simulator.
A Ruby machine learning library with a Scikit-Learn-like interface for classification, regression, clustering, and dimensionality reduction.
A Swift camera framework for iOS that simplifies AVFoundation usage and integrates CoreML models for real-time object recognition.
A JAX-based library providing accelerated reinforcement learning environments with full compatibility to the classic gym API.
An evolutionary optimization library for Go implementing genetic algorithms, particle swarm optimization, differential evolution, and other algorithms.
TensorFlow implementation of an attention-based neural image caption generator that focuses on relevant image parts while generating words.
A Go interface for importing and executing pre-trained ONNX neural network models without framework dependencies.
A C++ recurrent neural network library for sequence learning problems, specializing in online handwriting prediction and synthesis.
Fast multilayer perceptron neural network library for iOS and Mac OS X using Apple's Accelerate Framework.
GPU-accelerated Python implementation of six fundamental deep learning algorithms using CUDA libraries.
MatLab/Octave implementations of popular machine learning algorithms with detailed mathematical explanations and code examples.
A cross-platform C++ machine learning library for real-time gesture recognition with support for classification, regression, and clustering.
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