An Open Source Machine Learning Framework for Everyone
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Updated
Sep 5, 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.
Convert Machine Learning Code Between Frameworks
机器学习相关教程
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.
100-Days-Of-ML-Code中文版
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.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
TensorFlow Tutorials with YouTube Videos
Created by Google Brain Team
Released November 9, 2015