TensorFlow is an open source software library for numerical computation.
There are 39,165 repositories under tensorflow topic.
An Open Source Machine Learning Framework for Everyone
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
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
AI-Powered Photos App for the Decentralized Web 🌈💎✨
We write your reusable computer vision tools. 💜
🥇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:
Visualizer for neural network, deep learning and machine learning models
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.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
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.
NVR with realtime local object detection for IP cameras
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
ncnn is a high-performance neural network inference framework optimized for the mobile platform
100-Days-Of-ML-Code中文版
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js
深度学习入门教程, 优秀文章, Deep Learning Tutorial
:satellite: Simple and ready-to-use tutorials for TensorFlow
Natural Language Processing Tutorial for Deep Learning Researchers
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Face recognition using Tensorflow