TensorFlow
FrameworkOpen-source projects built with TensorFlow
There are currently 115 open-source projects built with TensorFlow, with a combined total of 1091.0k GitHub stars. The most common language among these projects is Python.
Showing 115 open-source projects · page 1 of 4
A model-definition framework for state-of-the-art machine learning models across text, vision, audio, and multimodal tasks.
A comprehensive collection of Chinese NLP resources, datasets, tools, and pre-trained models for developers and researchers.
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 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.
Industrial-strength Natural Language Processing library for Python, featuring pretrained pipelines for 70+ languages and production-ready training.
Jupyter notebooks with example code and exercises from the first edition of Hands-on Machine Learning with Scikit-Learn and TensorFlow.
A unified Python library for explaining any machine learning model's predictions using Shapley values from game theory.
A lightweight Python library for face recognition and facial attribute analysis (age, gender, emotion, race) with a unified API.
A repository of examples, utilities, and best practices for building and deploying production-ready recommendation systems.
A research project exploring machine learning for generating music, images, and art using deep learning and reinforcement learning.
An industry-leading open-source data engine for interactive video and image annotation to power machine learning.
A Python package for deep learning on graphs, framework-agnostic and optimized for performance and scalability.
An open-source library for rapid development of software dealing with 3D data, with support for C++ and Python.
Google's IPython Notebook demonstrating neural network art generation using the DeepDream technique.
A differentiable computer vision library for PyTorch, providing geometric vision and image processing algorithms for AI workflows.
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 modular deep learning library providing a higher-level API for TensorFlow to speed up experimentation.
An open-source, cross-platform machine learning framework for .NET developers to build, train, and deploy custom ML models.
A comprehensive collection of machine learning and deep learning models, trading agents, and simulations for stock market forecasting.
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.
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.
A suite of web applications for inspecting and understanding TensorFlow runs and graphs.
An open-source Python library for applying deep learning to drug discovery, materials science, quantum chemistry, and biology.
An open-source project for developing autonomous vehicle software with datasets, models, and ROS components.
A high-performance neural network training interface for TensorFlow, optimized for speed and research flexibility.
A high-performance neural network training interface for TensorFlow focused on speed, flexibility, and reproducible research.
An open-source Python framework for building, training, and evaluating reinforcement learning agents for algorithmic trading.
A TensorFlow implementation of YOLO for real-time object detection, supporting weight conversion, training, and mobile deployment.
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