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测试步骤

-tensorflow-google-

《TensorFlow实战Google深度学习框架》源码

3ddfa

The pytorch re-implementation of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.

996.icu

Repo for counting stars and contributing. Press F to pay respect to glorious developers.

adversarialnetspapers

The classical papers and codes about generative adversarial nets

ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

algorithms

The codes and my solutions to exercises from the book "Algorithms" (4th edition) by Robert Sedgewick and Kevin Wayne.

algorithmssedgewick

Code from the book "Algorithms" (4th ed.) by Robert Sedgewick and Kevin Wayne (original, and my solutions to exercises).

algs4

Algorithms, 4th edition textbook code and libraries

alpr-unconstrained

License Plate Detection and Recognition in Unconstrained Scenarios

android-demo-app

PyTorch android examples of usage in applications

awesome

😎 Awesome lists about all kinds of interesting topics

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-deep-learning-papers

The most cited deep learning papers

awesome-deep-vision

A curated list of deep learning resources for computer vision

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-mxnet

A curated list of MXNet examples, tutorials and blogs.

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

awesome-point-cloud-analysis

A list of papers and datasets about point cloud analysis (processing)

bilinear-cnn-tensorflow

This is an implementation of Bilinear CNN using TensorFlow.

bilinear_cnn_dog_classifi

tensorflow->BCNN + pytorch -> vgg16/resnet

bilstmwordbreaker

Bi LSTM Word Breaker

binary-human-pose-estimation

This code implements a demo of the Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources paper by Adrian Bulat and Georgios Tzimiropoulos.

bottom-up-attention

Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome

byteps

A high performance and generic framework for distributed DNN training

caffe

Caffe: a fast open framework for deep learning.

caffe-heatmap

Caffe with heatmap regression & spatial fusion layers. Useful for any CNN image position regression task.

caffe-model

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

caffe-yolo9000

Caffe for YOLOv2 & YOLO9000

caffe21days