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⚡机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
Basic Machine Learning and Deep Learning
scikit-learn: machine learning in Python
Minimal and clean examples of machine learning algorithms implementations
machine learning and deep learning tutorials, articles and other resources
A complete daily plan for studying to become a machine learning engineer.
GoogLeNet implementation of Fully Convolutional Networks for Semantic Segmentation in TensorFlow
Implementation of GoogLeNet by chainer (Going Deeper with Convolutions: https://arxiv.org/abs/1409.4842)
A curated list of deep learning resources for computer vision
Deep Learning Book Chinese Translation
TensorFlow implementation of GoogLeNet and Inception for image classification.
Evaluation of the CNN design choices performance on ImageNet-2012.
ImageNet pre-trained models with batch normalization for the Caffe framework
Scripts for Imagenet 32 dataset
This implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet, vgg, resnet, squeezenet, densenet)
Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition
mldbai / tensorflow-models
Forked from tensorflow/modelsModels built with TensorFlow
Models and examples built with TensorFlow
Experimental classifier using the TensorFlow on the ImageNet dataset
Exploring different ways of formatting the ImageNet dataset for use in TensorFlow.
TensorFlow Deep CNN for Tiny ImageNet Problem
Tensorflow code for training different architectures(DenseNet, ResNet, AlexNet, GoogLeNet, VGG, NiN) on ImageNet dataset + Multi-GPU support + Transfer Learning support
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
TensorFlow implementation of AlexNet and its training and testing on ImageNet ILSVRC 2012 dataset