jie.hang (@HangJie720)
github

HangJie720

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  • Stars
    star
    138
  • Global Rank 163,026 (Top 6 %)
  • Followers 25
  • Following 55
  • Registered about 8 years ago
  • Most used languages
    Python
         62.5 %
    Java
         20.8 %
    C++
         8.3 %
    Cuda     4.2 %
    Objective-C
         4.2 %
  • Location 🇨🇳 China
  • Country Total Rank 18,950
  • Country Ranking
    Cuda     92
    Objective-C
         4,350
    C++
         4,920
    Python
         7,232

Top repositories

1

Ensemble_Adversarial_Attack

Ensemble Adversarial Black-Box Attacks against Deep Learning Systems Trained by MNIST, USPS and GTSRB Datasets
Python
29
star
2

DeepLearning-Training-Cuda

Transparent Cudnn / Cublas / Eigen usage for the deep learning training using MNIST dataset.
C++
15
star
3

Professional-CUDA-C-Programming

Source and solution codes for Professional CUDA C Programming book.
Cuda
13
star
4

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.
Objective-C
6
star
5

TensorRT-Program

Running the TensorFlow Official ResNet-50 and VGG-19 with TensorRT
Python
5
star
6

Campus-dormitory-management-system

Campus-dormitory-management-system(校园宿舍管理系统)
Java
4
star
7

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.
Java
4
star
8

Course-Assisted-Learning-System

we provide the design scheme of the course assistance learning system on android platform on the basis of exploring the key technology related to the development of android and SQLite database, and successfully exploit a software called “The Course Assistance Learning System” based on the Android 6.0 version eventually. Due to the people’s operating habits and particular demands, the course table is made to expand the application to the user’s mobile terminal equipment, and to provide auxiliary functions about some course information management. Therefore, students can easily view the course at any time, download resources, and further improve the efficiency of students’ learning.
Java
2
star
9

TensorRT_Tensorflow_Keras

speed-up deep learning model with tensorrt
Python
1
star
10

ML_DecisionTree

Plot the decison surface of a decision tree on the iris datasets
Python
1
star
11

ML_Ensemble

Python
1
star
12

ML_K-NearestNeighbor

Python
1
star
13

Health-information-inquiry-system

Health Information Inquiry System(健康信息查询系统)
Java
1
star
14

SVM_SMO

Test of Simple SVM Demo
Python
1
star
15

ML_GLM

Generalized Linear Model
Python
1
star
16

PythonBase

Python is an advanced programming language for interpretive, object-oriented, dynamic data types. Python syntax is simple and clear, rich and powerful library.
Python
1
star
17

TFLEX

1
star
18

Traffic_Sign_Recognition

Attacks and defenses against traffic sign recognition with existed gradient-based and optimization-based approaches.
Python
1
star
19

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

Improved ensemble adversarial training defense mechanism considering the diversity of strength of generated adversarial examples
Python
1
star
20

TCT_versionII-master

Optimize Resnet-50 classification model with TensorRT3.0 for speeding up the inference process of Cervical cancer prediction
Python
1
star
21

jsymbol_vba

Our team is responsible for method extraction and performance test for the programming language of Visual Basic for Application.
Java
1
star
22

ML_BreastCancer

Visualization and Prediction of BreastCancer Datasets with LogisticRegression Model
Python
1
star
23

ML_Naive_Bayesian

Simple Example Completion for Naive Bayesian
Python
1
star
24

kNNAlgorithm

K-Nearest Neighbor (KNN) classification algorithm can be said to be the simplest machine learning algorithm. It is used to measure the distance between different eigenvalues. Its idea is simple: the sample also belongs to this category if the majority of k samples of the sample in the feature space (ie, the nearest neighbor in the feature space) belong to a particular category.
Python
1
star