An Open Source Machine Learning Framework for Everyone
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Updated
Feb 12, 2023 - C++
TensorFlow is an open source library that was created by Google. It is used to design, build, and train deep learning models.
An Open Source Machine Learning Framework for Everyone
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Clone a voice in 5 seconds to generate arbitrary speech in real-time
TensorFlow code and pre-trained models for BERT
AI-Powered Photos App for the Decentralized Web
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Visualizer for neural network, deep learning, and machine learning models
100-Days-Of-ML-Code中文版
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.
ncnn is a high-performance neural network inference framework optimized for the mobile platform
JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js
Open standard for machine learning interoperability
Your new Mentor for Data Science E-Learning.
Created by Google Brain Team
Released November 9, 2015