TensorFlow is a comprehensive open-source platform developed by Google designed for building and deploying machine learning models. As an application developer, leveraging TensorFlow allows you to harness a vast suite of tools and libraries that facilitate the construction of both simple and complex machine learning models. TensorFlow is particularly popular for its flexibility in developing neural networks and deep learning algorithms due to its ability to run on various devices like CPUs, GPUs, and TPUs. Its high-level Keras API simplifies model building, while the core TensorFlow enables fine-tuned control for intricate model creation. The platform supports various tasks such as image and speech recognition, text classification, and regression analysis. TensorFlow's scalability also means it can be integrated into mobile and web applications, providing AI-driven features with real-world applications. Whether designing state-of-the-art models or integrating machine learning into existing applications, TensorFlow's strong community support and comprehensive documentation make it a powerful tool for developers.
View the most prominent open source Tensorflow projects in the list below. Click on a specific project to view its alternative or complementary packages. Make comparisons and find the best package for your app.
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- Visualizer for neural network, deep learning and machine learning models☆32,805Updated this week
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- Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce,…☆29,043Mar 20, 2024Updated 2 years ago
- Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including …☆28,713Aug 18, 2024Updated last year
- Deezer source separation library including pretrained models.☆28,184Apr 2, 2025Updated last year
- DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Ras…☆26,750Jun 19, 2025Updated 10 months ago
- ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.☆25,654Mar 19, 2026Updated last month
- Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow☆25,552Jun 7, 2024Updated last year
- 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.☆23,450Apr 23, 2026Updated last week
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- Open standard for machine learning interoperability☆20,709Updated this week
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- JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js☆17,830Jan 24, 2024Updated 2 years ago
- 深度学习入门教程, 优秀文章, Deep Learning Tutorial☆17,430Apr 21, 2022Updated 4 years ago
- Simple and ready-to-use tutorials for TensorFlow☆16,300Nov 28, 2022Updated 3 years ago
- Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any…☆15,747Updated this week
- Machine Learning Toolkit for Kubernetes☆15,600Jan 5, 2026Updated 3 months ago
- Natural Language Processing Tutorial for Deep Learning Researchers☆14,886Feb 21, 2024Updated 2 years ago
- State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enter…☆14,794Aug 12, 2024Updated last year
- Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.☆14,692Dec 1, 2025Updated 4 months ago
- An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model c…☆14,351Jul 3, 2024Updated last year
- Your new Mentor for Data Science E-Learning.☆14,330Oct 14, 2025Updated 6 months ago
- Face recognition using Tensorflow☆14,318Jul 24, 2023Updated 2 years ago
- Open3D: A Modern Library for 3D Data Processing☆13,535Updated this week
- 深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.☆13,261Aug 30, 2021Updated 4 years ago
- Learn ML engineering for free in 4 months! Register here 👇🏼☆13,001Dec 27, 2025Updated 4 months ago
- 人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning d…☆12,927Jun 2, 2024Updated last year