Name: Andrey Nikishaev
Type: User
Company: https://LearnML.today
Bio: Solution Architect, Fullstack, Machine Learning & Data Science, Computer Vision.
Twitter: creotiv
Location: Ukraine, Kiev UTC +03:00
Blog: https://t.me/devs_world
Andrey Nikishaev's Projects
Native splash screen for react-native applications.
Some work in recaptcha resolving
SecLists is the security tester's companion. It's a collection of multiple types of lists used during security assessments, collected in one place. List types include usernames, passwords, URLs, sensitive data patterns, fuzzing payloads, web shells, and many more.
Public Slack organizations made easy
Android Camera Library For Square Photo Taking
Port of Single Shot MultiBox Detector to Keras
Keil projects and libraries for STM32F4xx devices
An implementation of "A Neural Algorithm of Artistic Style" by L. Gatys, A. Ecker, and M. Bethge. http://arxiv.org/abs/1508.06576.
Style guides for Google-originated open-source projects
the book with script
Android App for Android Fundamentals
The data and test packages for lesson 4 of Sunshine.
This application measures round-trip audio latency on an iOS or Android device. Low round-trip audio latency is a strong indicator of how well any mobile device is optimized for professional audio. Lower latency confers significant benefits to users of all sorts of apps like games, augmented hearing apps, VOIP and other interactive apps. Read more: http://superpowered.com/latency
List of telegram groups, channels & bots // Список интересных групп, каналов и ботов телеграма // Список чатов для программистов
Computation using data flow graphs for scalable machine learning
A VGG-19 implementation using Tensorflow
Terraform provider for Azure Resource Manager
Generic U-Net Tensorflow implementation for image segmentation
Optical Flow Prediction with TensorFlow. Implements "PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume," by Deqing Sun et al. (CVPR 2018)
Twitter for Python!
Code in python with tensorflow of the method described in the paper Unsupervised Interpretable Pattern Discovery in Time Series Using Autoencoders
Unity j4fun project.
Simple Qt5 app for tagging bounding boxes in video frames to create dataset for object detection
https://play.google.com/store/apps/details?id=com.essenly.android.vocalrecorder
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent