Tensorflow

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)

Clone a voice in 5 seconds to generate arbitrary speech in real-time

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：

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

AI-Powered Photos App for the Decentralized Web 🌈💎✨

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.

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

Deezer source separation library including pretrained models.

Visualizer for neural network, deep learning, and machine learning models

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.

100-Days-Of-ML-Code中文版

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.

ncnn is a high-performance neural network inference framework optimized for the mobile platform

📡 Simple and ready-to-use tutorials for TensorFlow

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools