An Open Source Machine Learning Framework for Everyone
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Updated
Nov 17, 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 🌈💎✨
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
🥇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.
Deezer source separation library including pretrained 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.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
We write your reusable computer vision tools. 💜
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
Created by Google Brain Team
Released November 9, 2015