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.
- An Open Source Machine Learning Framework for Everyone☆190,492Updated this week
- 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal model…☆146,154Updated this week
- Deep Learning for humans☆63,155Updated this week
- Clone a voice in 5 seconds to generate arbitrary speech in real-time☆54,575Updated last month
- TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)☆43,664Updated 11 months ago
- TensorFlow code and pre-trained models for BERT☆39,262Updated 11 months ago
- AI-Powered Photos App for the Decentralized Web 🌈💎✨☆37,726Updated this week
- Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.☆37,737Updated this week
- 🥇掘金翻译计划，可能是世界最大最好的英译中技术社区，最懂读者和译者的翻译平台：☆34,168Updated last year
- Visualizer for neural network, deep learning and machine learning models☆30,536Updated this week
- Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce,…☆28,308Updated last year
- Deezer source separation library including pretrained models.☆27,037Updated 2 months ago
- We write your reusable computer vision tools. 💜☆26,786Updated last week
- 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…☆26,487Updated last week
- Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including …☆26,134Updated 10 months ago
- ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.☆25,462Updated last year
- Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow☆25,200Updated last year
- NVR with realtime local object detection for IP cameras☆23,538Updated this week
- 100-Days-Of-ML-Code中文版☆21,827Updated 3 years ago
- ncnn is a high-performance neural network inference framework optimized for the mobile platform☆21,680Updated this week
- 🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools☆20,306Updated this week
- 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.☆21,325Updated this week
- Open standard for machine learning interoperability☆19,169Updated this week
- JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js☆17,311Updated last year
- ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator☆17,022Updated this week
- Simple and ready-to-use tutorials for TensorFlow☆16,376Updated 2 years ago
- 深度学习入门教程, 优秀文章, Deep Learning Tutorial☆16,045Updated 3 years ago
- Machine Learning Toolkit for Kubernetes☆15,057Updated 3 weeks ago
- Natural Language Processing Tutorial for Deep Learning Researchers☆14,654Updated last year
- Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.☆14,515Updated 2 months ago
- State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enter…☆14,349Updated 10 months ago
- Convert Machine Learning Code Between Frameworks☆14,220Updated this week
- An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model c…☆14,211Updated 11 months ago
- Your new Mentor for Data Science E-Learning.☆14,090Updated last year
- Face recognition using Tensorflow☆14,126Updated last year
- The free and privacy-friendly screen recorder with no limits 🎥☆14,854Updated last month
- Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any…☆13,967Updated 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.☆13,263Updated 3 years ago
- Open3D: A Modern Library for 3D Data Processing☆12,475Updated this week
- 机器学习相关教程☆12,353Updated 4 years ago