Pinned Repositories
Anakin
High performance Cross-platform Inference-engine, you could run Anakin on x86-cpu,arm, nv-gpu, amd-gpu,bitmain and cambricon devices.
apollo
An open autonomous driving platform
autoencoding_beyond_pixels
Generative image model with learned similarity measures
awesome-automl-papers
A curated list of automated machine learning papers, articles, tutorials, slides and projects
awesome-gan-for-medical-imaging
Awesome GAN for Medical Imaging
caffe_toolkit
Caffe toolkit, including installing Caffe, creating various networks.
chemical_vae
Code for 10.1021/acscentsci.7b00572, now running on Keras 2.0 and Tensorflow
CUDA-Winograd
Fast CUDA Kernels for ResNet Inference.
neural-network-optimization
nvcaffe-0.16
zmsunnyday's Repositories
zmsunnyday/CUDA-Winograd
Fast CUDA Kernels for ResNet Inference.
zmsunnyday/neural-network-optimization
zmsunnyday/nvcaffe-0.16
zmsunnyday/apollo
An open autonomous driving platform
zmsunnyday/autoencoding_beyond_pixels
Generative image model with learned similarity measures
zmsunnyday/awesome-gan-for-medical-imaging
Awesome GAN for Medical Imaging
zmsunnyday/caffe_toolkit
Caffe toolkit, including installing Caffe, creating various networks.
zmsunnyday/darknet
Convolutional Neural Networks
zmsunnyday/DCGAN-tensorflow
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
zmsunnyday/distiller
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research.
zmsunnyday/easyloggingpp
Single header C++ logging library. It is extremely powerful, extendable, light-weight, fast performing, thread and type safe and consists of many built-in features. It provides ability to write logs in your own customized format. It also provide support for logging your classes, third-party libraries, STL and third-party containers etc.
zmsunnyday/ENAS-Tensorflow
Efficient Neural Architecture search via parameter sharing(ENAS) micro search Tensorflow code for windows user
zmsunnyday/faster_rcnn
Faster R-CNN
zmsunnyday/GANsPaperCollection
zmsunnyday/generative-adversial
image generation via GANs
zmsunnyday/iaf
Code for reproducing key results in the paper "Improving Variational Inference with Inverse Autoregressive Flow"
zmsunnyday/MachineLearning
Basic Machine Learning and Deep Learning
zmsunnyday/mshadow
Matrix Shadow:Lightweight CPU/GPU Matrix and Tensor Template Library in C++/CUDA for (Deep) Machine Learning
zmsunnyday/mxboard
Logging MXNet data for visualization in TensorBoard.
zmsunnyday/ngraph
nGraph is an open source C++ library, compiler and runtime for Deep Learning frameworks
zmsunnyday/pggan-pytorch
:fire::fire: PyTorch implementation of "Progressive growing of GANs (PGGAN)" :fire::fire:
zmsunnyday/plog
Portable, simple and extensible C++ logging library
zmsunnyday/progressive_growing_of_gans
Progressive Growing of GANs for Improved Quality, Stability, and Variation
zmsunnyday/progressive_growing_of_gans_tensorflow
the Tensorflow code of PROGRESSIVE GROWING OF GANS FOR IMPROVED QUALITY, STABILITY, AND VARIATION
zmsunnyday/py-faster-rcnn
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
zmsunnyday/PyTorch-progressive_growing_of_gans
PyTorch implementation of Progressive Growing of GANs for Improved Quality, Stability, and Variation.
zmsunnyday/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners with Latest APIs
zmsunnyday/variational-autoencoder
generate MNIST using a Variational Autoencoder
zmsunnyday/VisualDL
A platform to visualize the deep learning process.
zmsunnyday/zynqnet
Master Thesis "ZynqNet: An FPGA-Accelerated Embedded Convolutional Neural Network"