资源|推荐全球最受欢迎的Top10：Deep Learning开源项目（最新）

2023年4月2日 185次阅读来源: Mike

微信公众号：全球人工智能

文章参考：GitHub 编辑：徐征

1、tensorflow/tensorflow

Introduction

Computation using data flow graphs for scalable machine learning

GitHub：tensorflow/tensorflow

2、BVLC/caffe

Introduction

Caffe: a fast open framework for deep learning.

GitHub：BVLC/caffe

3、ZuzooVn/machine-learning-for-software-engineers

Introduction

A complete daily plan for studying to become a machine learning engineer.

GitHub：ZuzooVn/machine-learning-for-software-engineers

4、fchollet/keras

Introduction

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

GitHub：fchollet/keras

5、songrotek/Deep-Learning-Papers-Reading-Roadmap

Introduction

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

GitHub：songrotek/Deep-Learning-Papers-Reading-Roadmap

6、Microsoft/CNTK

Introduction

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

GitHub：Microsoft/CNTK

7、aymericdamien/TensorFlow-Examples

Introduction

TensorFlow Tutorial and Examples for beginners

GitHub：aymericdamien/TensorFlow-Examples

8、terryum/awesome-deep-learning-papers

Introduction

The most cited deep learning papers

GitHub：terryum/awesome-deep-learning-papers

9、dmlc/mxnet

Introduction

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

GitHub：dmlc/mxnet

10、donnemartin/data-science-ipython-notebooks

Introduction

Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.