An Open Source Machine Learning Framework for Everyone
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Updated
Jul 19, 2020 - C++
Artificial neural networks (ANN) are computational systems that "learn" to perform tasks by considering examples, generally without being programmed with any task-specific rules.
An Open Source Machine Learning Framework for Everyone
Tensors and Dynamic neural networks in Python with strong GPU acceleration
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
A curated list of awesome Deep Learning tutorials, projects and communities.
A WebGL accelerated JavaScript library for training and deploying ML models.
pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)
YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )
Topic Modelling for Humans
The "Python Machine Learning (1st edition)" book code repository and info resource
machine learning and deep learning tutorials, articles and other resources
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Visualizer for neural network, deep learning and machine learning models
Decensoring Hentai with Deep Neural Networks
Deep learning library featuring a higher-level API for TensorFlow.
ncnn is a high-performance neural network inference framework optimized for the mobile platform
Open standard for machine learning interoperability
TensorFlow tutorials and best practices.
WebGL-accelerated ML // linear algebra // automatic differentiation for JavaScript.
TensorFlow Tutorials with YouTube Videos
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
机器学习相关教程
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
Code for Tensorflow Machine Learning Cookbook
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
A flexible framework of neural networks for deep learning