TensorFlow is an open source software library for numerical computation.
There are 25,313 repositories under Tensorflow topic.
An Open Source Machine Learning Framework for Everyone
🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.
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
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.
Deezer source separation library including pretrained models.
Photos App powered by Go and Google TensorFlow 🌈
Visualizer for neural network, deep learning, and machine learning models
:satellite: Simple and ready-to-use tutorials for TensorFlow
ncnn is a high-performance neural network inference framework optimized for the mobile platform
Your new Mentor for Data Science E-Learning.
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.
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Open standard for machine learning interoperability
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
Machine Learning Toolkit for Kubernetes
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
Natural Language Processing Tutorial for Deep Learning Researchers
Mapping a variable-length sentence to a fixed-length vector using BERT model
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Deep learning library featuring a higher-level API for TensorFlow.
TensorFlow-based neural network library
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋