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Curated list of top machine learning Python libraries, updated weekly with quality scores.
High-performance mobile-optimized neural network inference framework for deploying AI models on mobile devices
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Reinforcement Learning implementations and exercises for Python developers
AI-powered dataset management and preprocessing library for ML projects
Open standard for ML interoperability and model exchange
Magenta is a research project exploring machine learning in art and music generation using TensorFlow.
High-performance ML inferencing and training accelerator
An open-source screen recorder with features like annotation, audio, and camera capture for productivity apps.
A TypeScript library for face detection and face recognition in the browser and Node.js using TensorFlow.js.
A curated list of dedicated resources for the TensorFlow machine learning framework.
A comprehensive collection of deep learning tutorials, articles, and resources for developers.
Simple and ready-to-use tutorials for the TensorFlow deep learning framework.
Kubeflow is a machine learning toolkit for building and deploying scalable ML pipelines on Kubernetes.
CVAT is an industry-leading data engine for machine learning, trusted by teams for annotating data at scale.
A tutorial for natural language processing (NLP) using deep learning frameworks like PyTorch and TensorFlow.
A collection of state-of-the-art deep learning scripts for various AI/ML tasks, easily trainable and deployable.
Distributed training framework for deep learning models using popular ML libraries like TensorFlow, Keras, PyTorch, and MXNet.
StyleGAN is an official TensorFlow implementation of a generative adversarial network (GAN) for creating photorealistic images.
An open-source AutoML toolkit for automating the machine learning lifecycle, including feature engineering, neural architecture search, and hyperparameter tuning.
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