Name: Nyam-Ochir Bold
Type: User
Company: Upwork Freelancing Platform
Bio: I am a Data Analyst and ML/AI engineer. I enjoy learning, developing, and contributing to DL, ML, and DS projects.
Twitter: nickmle
Location: Ulaanbaatar, Mongolia
Blog: https://www.upwork.com/freelancers/nyamochirbold
Nyam-Ochir Bold's Projects
3 networks to recognition age,gender and emotion
Age and gender detection algorithm based on Adrian Rosebrock's code
Google Brain AutoML
Official Documentation for the Binance APIs and Streams
Bitcoin Core integration/staging tree
Object detection, 3D detection, and pose estimation using center point detection:
centernet
Two-stage CenterNet
node of the decentralized oracle network, bridging on and off-chain computation
Copy-paste augmentation for segmentation and detection tasks
this is capstone project for Data Science Professional Certificate by IBM through Coursera
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Dataset of the paper "Cross-View Tracking for Multi-Human 3D Pose Estimation at over 100 FPS"
Dense Label Encoding for Boundary Discontinuity Free Rotation Detection
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
The Web framework for perfectionists with deadlines.
Notebooks for learning deep learning
E-Commerce App for Android with Material Design Pattern
A Deep learning flask based application used to predict whether Person is having mask to his face or not
Face mask detection system using Deep learning.
Face Detection & Age Gender & Expression & Recognition
A template web app with Flask. Features: latest bootstrap, user registry, login, forgot password. Secured admin panel, pagination, config files for Nginx and Supervisor and much more.
Example forecasting sample using lstm in tensorflow keras.
A Python project which can detect gender and age using OpenCV of the person (face) in a picture or through webcam.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Get real time or video to process the what is happening on the action--> there are several models with with 4out 6out and 8outs also 40 action outs