Deep Learning
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A curated list of awesome open-source libraries for deploying, monitoring, versioning, and scaling production machine learning systems.
A cross-platform, high-performance accelerator for machine learning inference and training with ONNX models.
A research project exploring machine learning for generating music, images, and art using deep learning and reinforcement learning.
Comprehensive cheatsheets and refreshers covering all key concepts from Stanford's CS 229 Machine Learning course.
A hardware-accelerated JavaScript library for training and deploying machine learning models in browsers and Node.js.
A hardware-accelerated JavaScript library for training and deploying machine learning models in the browser and Node.js.
A curated list of resources dedicated to Natural Language Processing (NLP), including libraries, datasets, tutorials, and research.
A curated collection of tutorials, articles, and resources for learning machine learning and deep learning topics.
A topic-wise curated list of machine learning and deep learning tutorials, articles, and resources for developers and data scientists.
A PyTorch library providing datasets, model architectures, and image transformations for computer vision tasks.
Code samples and implementations from the book 'Neural Networks and Deep Learning' for educational purposes.
A unified deep learning toolkit for describing neural networks as computational graphs, supporting feed-forward DNNs, CNNs, and RNNs/LSTMs.
A curated list of awesome TensorFlow experiments, libraries, projects, tutorials, and resources.
A curated list of awesome TensorFlow experiments, libraries, projects, tutorials, and resources.
A curated index of the latest and best machine learning and AI courses available on YouTube, organized by topic.
Lecture materials and slides for the University of Oxford's 2017 advanced course on Deep Natural Language Processing.
A graphical image annotation tool written in Python for computer vision tasks like segmentation and detection.
An industry-leading open-source data engine for interactive video and image annotation to power machine learning.
A free and open-source face recognition library using deep neural networks for research and applications.
A fast and flexible Python library for image augmentation in computer vision tasks like classification, segmentation, and object detection.
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 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.
GPU-accelerated neural network library for JavaScript, running in browsers and Node.js.
An open-source framework for applying deep reinforcement learning to quantitative finance, featuring a train-test-trade pipeline for stock and crypto trading.
A multi-voice text-to-speech system that produces highly realistic prosody and intonation using autoregressive and diffusion decoders.
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.
Offline speech recognition toolkit supporting 20+ languages with small models and streaming API.
Open source implementation of AlphaFold 2, a deep learning system for highly accurate protein structure prediction.
A modern C++ toolkit for machine learning, computer vision, and data analysis applications.
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 simulator built on Unreal Engine for developing, training, and validating autonomous driving systems.
Generate comprehensive data quality profiles and exploratory data analysis reports for Pandas and Spark DataFrames with a single line of code.
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