ankitAMD
DevOps Enthusiast | Cloud Engineer | Certified AWS Cloud Practitioner | AWS Re/start Graduate |Python Developer. #Mumbai #India
Gorakhpur, Uttar Pradesh India
Pinned Repositories
1Ant_Bees_classification_Pytorch
Create conda Environments and first introduction pytorch project on classification of ant and bees
Ankit_5Sentiment_Analysis
5.Sentiment_Analysis
Darkflow-object-detection
this is darkflow -yolo object detection project.
Extraction-of-Data_from-JASON
Extraction of Useful Data from Json
intel-iot-devkit-people-counter
This people counter application is one of a series of IoT reference implementations aimed at instructing users on how to develop a working solution for a particular problem. It demonstrates how to create a smart video IoT solution using Intel® hardware and software tools. This people counter solution detects people in a designated area providing number of people in the frame, average duration of people in frame, and total count.
Interview-_Journey-
Company ,Interview and Events 2019
NYTaxi_XG_Boost_Challenge-kaggle_challenge
I'm attempting the NYC Taxi Duration prediction Kaggle challenge. I'll by using a combination of Pandas, Matplotlib, and XGBoost as python libraries to help me understand and analyze the taxi dataset that Kaggle provides. The goal will be to build a predictive model for taxi duration time. I'll also be using Google Colab as my jupyter notebook. i will also predict without Google colab on normal system.
Optical-Flow_JASOn-extraction
JASOn_Extraction_Points and using these points Polygon drawn on video and only those region shown Optical Flow.
PYTORCH_resnet
introduce Resnet NEURAL network model using Pytorch on environment abc
Self-Attention-GAN-master_pytorch
Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN) of non-cuda user s and its also used by cuda user.
ankitAMD's Repositories
ankitAMD/Python-optical-flow-tracking
Using Optical Flow for Detection Motion object.
ankitAMD/TensorFlow-Book
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
ankitAMD/tensorflow-exercises
TensorFlow Exercises - focusing on the comparison with NumPy.