An Open Source Machine Learning Framework for Everyone
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Updated
May 9, 2024 - 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
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Deep Learning for humans
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
TensorFlow code and pre-trained models for BERT
Clone a voice in 5 seconds to generate arbitrary speech in real-time
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.
The Unified AI Framework
机器学习相关教程
100-Days-Of-ML-Code中文版
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
TensorFlow documentation
🥇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:
Face recognition using Tensorflow
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
TensorFlow Tutorials with YouTube Videos
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Created by Google Brain Team
Released November 9, 2015