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attention-is-all-you-need-keras

A Keras+TensorFlow Implementation of the Transformer: Attention Is All You Need

baidupcs-go

百度网盘客户端 - Go语言编写

began-tensorflow

Tensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"

bypy

Python client for Baidu Yun (Personal Cloud Storage) 百度云/百度网盘Python客户端

caffe-tensorflow

Caffe models in TensorFlow

clustering-with-deep-learning

Generic implementation for clustering with deep learning : representation learning (DNN) + clustering

cnn_finetune

Fine-tune CNN in Keras

cs224n

CS224n: Natural Language Processing with Deep Learning Assignments Winter, 2017

dcec

dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

dec-keras

Deep Embedding Clustering in Keras

dec-keras-1

Keras implementation for Deep Embedding Clustering (DEC)

deep-k-means-pytorch

Code for ICML 2018 paper 'Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions'

deep-learning-21-examples

《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deepcluster

Deep Clustering for Unsupervised Learning of Visual Features

deeplearningimplementations

Implementation of recent Deep Learning papers

densenet-keras

DenseNet Implementation in Keras with ImageNet Pretrained Models

depict

dropbox-sdk-python

Python SDK for Dropbox API v2.

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

faster-rcnn_tf

Faster-RCNN in Tensorflow

fcn.tensorflow

Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)

flask_heroku

gandissect

Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/

goproxy

goproxy-always-available

fork from goproxy Becaust it closed!! 1632版本自动扫描可用ip

happysurfblocking-fetch-bak

jule-tensorflow

jule.torch

Torch code for our CVPR 2016 paper "Joint Unsupervised LEarning of Deep Representations and Image Clusters"