An Open Source Machine Learning Framework for Everyone
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Updated
Aug 27, 2022 - C++
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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
Deep Learning for humans
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
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
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.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
AI-Powered Photos App for the Decentralized Web
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.
Deezer source separation library including pretrained models.
DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
Visualizer for neural network, deep learning, and machine learning models
100-Days-Of-ML-Code中文版
ncnn is a high-performance neural network inference framework optimized for the mobile platform
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.
JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js
Created by Google Brain Team
Released November 9, 2015