cold-blue Goto Github PK

adversarial-feature-augmentation

Code for the paper "Adversarial Feature Augmentation for Unsupervised Domain Adaptation", CVPR 2018

ai_artistry

Python implementation of "A Neural Algorithm of Artistic Style," Gatys et al.

autograd

Efficiently computes derivatives of numpy code.

bayesian_dense

Bayesian Weight Uncertainty Dense Layer for Keras

bertviz

Tool for visualizing attention in the Transformer model (BERT, GPT-2, XLNet, and RoBERTa)

caffe

Caffe: a fast open framework for deep learning.

caffe-tensorflow

Caffe models in TensorFlow

caffe-yolo9000

Caffe for YOLOv2 & YOLO9000

capsnet-keras

A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error ＝ 0.34%.

capsnet-tensorflow

A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules

carnd-alexnet-feature-extraction

This lab guides you through using AlexNet and TensorFlow to build a feature extraction network.

catchgame-qlearningexample-tensorflow

Catch game example is translated by TensorFlow

cnn-models

ImageNet pre-trained models with batch normalization for the Caffe framework

colorhistogram

Simple demos of Color Histogram (Python).

coloring-greyscale-images-in-keras

Coloring B&W portraits with neural networks.

conditional-pixelcnn-decoder

Tensorflow implementation of Gated Conditional Pixel Convolutional Neural Network

convnets-keras

copula-py

Python Copula Module

courses

fast.ai Courses

cr-gan

Yu Tian et al. "CR-GAN: Learning Complete Representations for Multi-view Generation", IJCAI 2018

cyclegan

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

dec-keras

Keras implementation for Deep Embedding Clustering (DEC)

deep-learning-models

Keras code and weights files for popular deep learning models.

deep-learning-papers-reading-roadmap

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

deep-learning-with-python-notebooks

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

deep-learning-workbook

A universal workflow for solving machine learning problems

deep-residual-networks

Deep Residual Learning for Image Recognition

deeplearningbook-chinese

Deep Learning Book Chinese Translation

deeplearningflappybird

Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).

dense_feat

package for dense color histogram and dense SIFT feature extraction