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/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.
ankitAMD/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.
ankitAMD/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/Ankit_5Sentiment_Analysis
5.Sentiment_Analysis
ankitAMD/Optical-Flow_Python
Optical Flow_Python
ankitAMD/Extraction-of-Data_from-JASON
Extraction of Useful Data from Json
ankitAMD/Optical-Flow_JASOn-extraction
JASOn_Extraction_Points and using these points Polygon drawn on video and only those region shown Optical Flow.
ankitAMD/PYTORCH_resnet
introduce Resnet NEURAL network model using Pytorch on environment abc
ankitAMD/A-to-Z-Resources-for-Students
A to Z Resources for students as well as working proffessionals
ankitAMD/Ankit-Resume
learn machine at ankitAMD
ankitAMD/Ankit_10_Simplify_Your_Dataset_Easily
10.Simplify_Your_Dataset_Easily
ankitAMD/Ankit_11_Make_Image_Classifier
11.Make_Image_Classifier
ankitAMD/Ankit_6_Make_Word_Vectors_From_Game_Of_Throne
6.Make_Word_Vectors_From_Game_Of_Throne
ankitAMD/Ankit_7_Math_To_Do_Easily
7.Math_To_Do_Easily
ankitAMD/Ankit_8_How_to_Predict_Music_You_Love
8.How_to_Predict_Music_You_Love
ankitAMD/Ankit_9_Make_Data_Amazing
9.Make_Data_Amazing
ankitAMD/awesome-deep-vision
A curated list of deep learning resources for computer vision
ankitAMD/Bootstrap-intershala
Bootstrap/intershala
ankitAMD/data-science-blogs
A curated list of data science blogs
ankitAMD/DL-Toolkit
ankitAMD/Dog_Breed_Identification_Pytorch_Resnet50
Dog_Breed_Identification_Using_Pretrained_Pytorch_Model_Resnet50
ankitAMD/Irshaad_game
a new game on github platform
ankitAMD/java-_programming
java _programming practices during 3rd year
ankitAMD/MIT-6.S094-Deep-Learning-for-Self-Driving-Cars
ankitAMD/ml-videos
A collection of video resources for machine learning
ankitAMD/Read-Multiple-images-from-a-folder-using-python-cv2
ankitAMD/resume-writing-intershala
resume writing/intershala
ankitAMD/Simple_Pytorch_intro_project
Applying Linear Regression Simple Pytorch introduction project
ankitAMD/TGSSalt_Identification_Kaggle_Challenge
TGSSalt_Identification_Kaggle_Challenge https://www.kaggle.com/c/tgs-salt-identification-challenge
ankitAMD/web-deveploment-intershala
web development content of intershala/php-intershala