yzhao520

libcpab

CPAB Transformations: finite-dimensional spaces of simple, fast, and highly-expressive diffeomorphisms derived from parametric, continuously-defined, velocity fields in Numpy, Tensorflow and Pytorch

DCC

This repository contains the source code and data for reproducing results of Deep Continuous Clustering paper

vhe

The Variational Homoencoder: Learning to learn high capacity generative models from few examples

PixelVAE

Code for the models in "PixelVAE: A Latent Variable Model for Natural Images" (https://arxiv.org/abs/1611.05013

few-shot-ssl-public

Meta Learning for Semi-Supervised Few-Shot Classification

Reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

sshfs

A network filesystem client to connect to SSH servers

transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

WINN

Wasserstein Introspective Neural Networks (CVPR 2018 Oral)

DAGAN

DAGAN: Data Augmentation Generative Adversarial Networks

diving-score

DenseNet-Keras

DenseNet Implementation in Keras with ImageNet Pretrained Models

deep-visualization-toolbox

DeepVis Toolbox

caffeBVLCplus

Caffe: a fast open framework for deep learning.

nvidia-docker

Build and run Docker containers leveraging NVIDIA GPUs

models

Models and examples built with TensorFlow

keras-resnet

Residual networks implementation using Keras-1.0 functional API

Caffe-Data-Augmentation

a branc caffe with feature of Data Augmentation using a configurable stochastic combination of 7 data augmentation techniques.

DenseNet-Caffe

DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet

DeconvNet

DeconvNet : Learning Deconvolution Network for Semantic Segmentation

caffenet-benchmark

Evaluation of the CNN design choices performance on ImageNet-2012.