TensorFlow is an open source software library for numerical computation.
There are 36,849 repositories under tensorflow topic.
An Open Source Machine Learning Framework for Everyone
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Deep Learning for humans
Clone a voice in 5 seconds to generate arbitrary speech in real-time
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
TensorFlow code and pre-trained models for BERT
🥇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:
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 set of AI Libraries for accelerating ML workloads.
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.
Visualizer for neural network, deep learning and machine learning models
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
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.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
100-Days-Of-ML-Code中文版
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
:satellite: Simple and ready-to-use tutorials for TensorFlow
JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
NVR with realtime local object detection for IP cameras
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Natural Language Processing Tutorial for Deep Learning Researchers
Face recognition using Tensorflow
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.
深度学习入门教程, 优秀文章, Deep Learning Tutorial
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
机器学习相关教程