An Open Source Machine Learning Framework for Everyone
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Updated
Aug 26, 2024 - C++
TensorFlow is an open source library that was created by Google. It is used to design, build, and train deep learning models.
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
AI-Powered Photos App for the Decentralized Web 🌈💎✨
🥇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:
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.
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.
Deezer source separation library including pretrained 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
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
100-Days-Of-ML-Code中文版
ncnn is a high-performance neural network inference framework optimized for the mobile platform
🤗 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. 💜
Created by Google Brain Team
Released November 9, 2015