🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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Updated
Aug 4, 2024 - Python
TensorFlow is an open source library that was created by Google. It is used to design, build, and train deep learning models.
🤗 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 code and pre-trained models for BERT
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.
Deezer source separation library including pretrained models.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 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
We write your reusable computer vision tools. 💜
Open standard for machine learning interoperability
NVR with realtime local object detection for IP cameras
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Convert Machine Learning Code Between Frameworks
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
机器学习相关教程
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
Created by Google Brain Team
Released November 9, 2015