Machine Learning
Showing 36 of 1845 projects
🦉 Data Versioning and ML Experiments
A blazing-fast, lightweight deep learning inference engine from Alibaba, optimized for on-device LLMs and Edge AI.
A Rust-based deep learning framework and tensor library optimized for flexibility, efficiency, and cross-platform portability.
A comprehensive open-source toolkit for speech recognition research and development.
A curated list of must-use resources for AI engineering, including books, courses, papers, frameworks, and tools.
A curated collection of must-use resources for AI engineering, including books, courses, papers, frameworks, and tools.
A fast and flexible Python library for image augmentation in computer vision tasks like classification, segmentation, and object detection.
A collection of implementations and illustrative code accompanying DeepMind's published research papers across AI and machine learning.
A collection of implementations and illustrative code accompanying DeepMind's published research papers across AI and scientific domains.
A low-level tensor library for machine learning with integer quantization, automatic differentiation, and zero runtime allocations.
GPU-accelerated neural network library for JavaScript, running in browsers and Node.js.
A collection of pre-trained machine learning models ported to TensorFlow.js for use directly in the browser or Node.js.
A Python library for augmenting images and associated data (heatmaps, keypoints, bounding boxes) for machine learning projects.
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
A comprehensive Python library for natural language processing, providing modules, datasets, and tutorials for NLP research and development.
A hyperparameter optimization framework for machine learning with a define-by-run API for dynamic search spaces.
A machine-learning conversational dialog engine for creating chatbots in Python with language-independent training.
A curated list of awesome big data frameworks, resources, and tools across various categories.
A modern C++ toolkit for machine learning, computer vision, and data analysis applications.
A simple Python framework for state-of-the-art natural language processing (NLP) tasks like named entity recognition and sentiment analysis.
A simple Python framework for state-of-the-art natural language processing (NLP) tasks like named entity recognition and sentiment analysis.
A Python package for deep learning on graphs, framework-agnostic and optimized for performance and scalability.
A comprehensive JVM-based deep learning ecosystem for building, training, and deploying models with support for model import and distributed training.
An open-source library for rapid development of software dealing with 3D data, with support for C++ and Python.
Generate comprehensive data quality profiles and exploratory data analysis reports for Pandas and Spark DataFrames with a single line of code.
Generate comprehensive data quality profiling and exploratory data analysis reports for Pandas and Spark DataFrames with a single line of code.
A reliable PyTorch implementation of reinforcement learning algorithms for research and industry.
A free and open-source network discovery and security auditing tool for mapping networks and identifying services.
A curated list of open-source large language models licensed for commercial use, including models for general text and code generation.
A drop-in replacement for the MNIST dataset, featuring 70,000 Zalando fashion article images for benchmarking machine learning algorithms.
A comprehensive study plan and resource collection for preparing for machine learning engineering interviews at top tech companies.
An open source machine learning server for developers and data scientists, supporting event collection, algorithm deployment, and REST API queries.
A curated list of modern Generative AI projects, services, models, and resources across text, image, video, audio, and coding.
Generate 3D objects from text descriptions or images using conditional implicit functions.
A standard Python API for single-agent reinforcement learning environments with a collection of reference environments and utilities.
A NumPy/SciPy-compatible array library for GPU-accelerated computing with Python, supporting NVIDIA CUDA and AMD ROCm.
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