HangJie720

adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

Campus-dormitory-management-system

Campus-dormitory-management-system(校园宿舍管理系统)

CUDA-Programming

Sample codes for my CUDA programming book

cuda-sample

CUDA official sample codes

cudnn-samples

cudnn samples are provided to verify if the operator's calculation results are correct on other gpu products(e.g., NPU, TPU) compatible to NVIDIA cuda/cudnn.

DeepLearning-Training-Cuda

Transparent Cudnn / Cublas / Eigen usage for the deep learning training using MNIST dataset.

E-book-Reader

The reader is design and development on the Android platform, according to the analysis of the mobile electronic reader customer demand analysis and technical feasibility, through the stage of the overall design and detailed design coding testing and electronic reader software design. This software design is not only to achieve the e-book reader the most basic reading function, but also for the user to provide the support function of the rich, on the phone to achieve local book search, add books, books show, books and delete functions. Reading books is mainly to provide users with some of the functions of reading, such as flip effects, the font size of the regulation, the brightness of the regulation, reading schedule adjustment, catalog view. In the process of design and development, through continuous testing, continuous improvement, the function of the mobile phone electronic reader gradually stabilized. Finally, the software has been tested and verified, basically able to meet the needs of users.

Ensemble_Adversarial_Attack

Ensemble Adversarial Black-Box Attacks against Deep Learning Systems Trained by MNIST, USPS and GTSRB Datasets

Professional-CUDA-C-Programming

Source and solution codes for Professional CUDA C Programming book.

TensorRT-Program

Running the TensorFlow Official ResNet-50 and VGG-19 with TensorRT

HangJie720/Ensemble_Adversarial_Attack

Ensemble Adversarial Black-Box Attacks against Deep Learning Systems Trained by MNIST, USPS and GTSRB Datasets

HangJie720/DeepLearning-Training-Cuda

Transparent Cudnn / Cublas / Eigen usage for the deep learning training using MNIST dataset.

HangJie720/Professional-CUDA-C-Programming

Source and solution codes for Professional CUDA C Programming book.

HangJie720/cudnn-samples

cudnn samples are provided to verify if the operator's calculation results are correct on other gpu products(e.g., NPU, TPU) compatible to NVIDIA cuda/cudnn.

HangJie720/CUDA-Programming

Sample codes for my CUDA programming book

HangJie720/bazel

a fast, scalable, multi-language and extensible build system

HangJie720/bitcoin

Bitcoin Core integration/staging tree

HangJie720/cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

HangJie720/cudahandbook-1

cudahandbook中的代码以及书籍

HangJie720/glog

C++ implementation of the Google logging module

HangJie720/HIP

HIP: C++ Heterogeneous-Compute Interface for Portability

HangJie720/horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

HangJie720/keras_to_tensorflow

General code to convert a trained keras model into an inference tensorflow model

HangJie720/Learn-CUDA-Programming

Learn CUDA Programming, published by Packt

HangJie720/Learn-LLVM-12

Learn LLVM 12, published by Packt

HangJie720/MCD_DA

HangJie720/Mixed-Adversarial-Training-based-on-Greedy-Search-Strength-Algorithms

Improved ensemble adversarial training defense mechanism considering the diversity of strength of generated adversarial examples

HangJie720/MMdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

HangJie720/MNN

MNN is a lightweight deep neural network inference engine.

HangJie720/modern-cpp-tutorial

📚 Modern C++ Tutorial: C++11/14/17/20 On the Fly

HangJie720/ncnn

ncnn is a high-performance neural network inference framework optimized for the mobile platform

HangJie720/NNPACK

Acceleration package for neural networks on multi-core CPUs

HangJie720/rocRAND

RAND library for HIP programming language

HangJie720/RocRAND_Test

HangJie720/Tengine

Tengine is a lite, high performance, modular inference engine for embedded device

HangJie720/TensorRT

TensorRT is a C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators.

HangJie720/TFLEX

HangJie720/transferlearning

Everything about Transfer Learning and Domain Adaptation--迁移学习

HangJie720/blocksparse

Efficient GPU kernels for block-sparse matrix multiplication and convolution

HangJie720/pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration