Tensorflow
Showing 36 of 134 projects
An end-to-end open source platform for machine learning with a comprehensive ecosystem of tools and libraries.
An end-to-end open source platform for machine learning with a comprehensive ecosystem of tools and libraries.
A model-definition framework for state-of-the-art machine learning models across text, vision, audio, and multimodal tasks.
A repository of state-of-the-art model implementations and examples built with TensorFlow, demonstrating best practices for research and production.
A repository of state-of-the-art model implementations and examples built with TensorFlow, demonstrating best practices for machine learning.
A multi-backend deep learning framework that enables effortless model development across JAX, TensorFlow, PyTorch, and OpenVINO.
A comprehensive collection of TensorFlow tutorials and examples for beginners, covering both TF v1 and v2 with clear explanations.
TensorFlow implementation and pre-trained models for BERT, a bidirectional Transformer for language understanding.
A visualizer for neural network, deep learning, and machine learning models across multiple frameworks.
A comprehensive collection of data science Python notebooks covering deep learning, machine learning, big data, visualization, and essential tools.
Jupyter notebooks with example code and exercises from the first edition of Hands-on Machine Learning with Scikit-Learn and TensorFlow.
An open standard format for representing machine learning models to enable interoperability between frameworks.
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.
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 JavaScript API for face detection, recognition, and analysis in the browser and Node.js using TensorFlow.js.
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 composable, modular, and scalable machine learning toolkit for building AI platforms on Kubernetes.
A fast and flexible Python library for image augmentation in computer vision tasks like classification, segmentation, and object detection.
A research framework for fast prototyping of reinforcement learning algorithms, designed for easy experimentation and reproducibility.
Code examples and tutorials for Stanford's TensorFlow for Deep Learning Research course (CS 20).
A comprehensive resource of deep learning techniques and models for analyzing satellite and aerial imagery.
A TensorFlow 2 library providing simple, composable abstractions for machine learning research via the snt.Module concept.
A modular deep learning library providing a higher-level API for TensorFlow to speed up experimentation.
A Python library for flexible and readable tensor operations across numpy, PyTorch, JAX, TensorFlow, and other frameworks.
An open-source, cross-platform machine learning framework for .NET developers to build, train, and deploy custom ML models.
An AutoML library for deep learning that automates model selection and hyperparameter tuning using Keras and TensorFlow.
A collection of beginner-friendly TensorFlow tutorials with accompanying YouTube videos covering deep learning fundamentals and advanced topics.
A comprehensive guide to TensorFlow 2.x covering fundamentals, best practices, and advanced topics for efficient machine learning development.
An end-to-end deep learning library focused on clear code and speed, used for research and production by Google Brain.
An end-to-end deep learning library focused on clear code, speed, and research, built by Google Brain.
Go language bindings for OpenCV 4, enabling computer vision applications with support for CUDA, DNN, and OpenVINO.
A TensorFlow-based deep learning and reinforcement learning library designed for researchers and engineers, offering customizable neural layers.
A TensorFlow-based deep learning and reinforcement learning library designed for researchers and engineers with customizable neural layers.
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