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Comprehensive set of TensorFlow tutorials with accompanying YouTube videos for learning deep learning and machine learning.
A set of containers for running machine learning models and applications on various ML frameworks.
A robust and highly performant video matting library for PyTorch, TensorFlow, TensorFlow.js, ONNX, and CoreML.
A Python library for user-friendly forecasting and anomaly detection on time series data.
A collection of tutorials and notebooks on state-of-the-art computer vision models and techniques for developers.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features.
A comprehensive collection of resources for anomaly detection, including books, papers, videos, and toolboxes.
Unified, production-ready inference API to run open-source, speech, and multimodal models on cloud, on-prem, or your laptop.
Versatile database for AI, supporting storage, querying, versioning, and visualization of any AI data.
A deep universal probabilistic programming library for Python and PyTorch, enabling Bayesian machine learning.
Curated list of Machine Learning, NLP, Vision, and Recommender Systems project ideas for developers.
A comprehensive repository for interview preparation, including guides, algorithms, and code analysis.
An interactive visualization tool for learning Convolutional Neural Networks (CNNs) and deep learning.
A Python library that empowers developers to build applications and systems with self-contained computer vision capabilities.
A powerful Python library for web mining, natural language processing, and data visualization.
A collection of machine learning examples and tutorials for data scientists and ML engineers.
A high-performance gradient boosting library for machine learning tasks on CPUs and GPUs.
NSFW detection on the client-side via TensorFlow.js for content moderation and filtering.
ModelScope is an open-source AI framework that brings the notion of Model-as-a-Service to life, providing a comprehensive suite of tools for building, deploying, and managing AI models.
A guide to deploying deep-learning inference networks and computer vision primitives with NVIDIA Jetson hardware and TensorRT.
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