Pinned Repositories
DeDuSERP
Removing duplicate results from the Search engine result page
Dog_Image_Classifier
First project of Udacity AI programming with python
fast-face-android
👦 Fast-Face : Android App for Real-time Face Landmark Detection. You can check your landmarks in 60ms
Flower_Image_Classifier
Final Image Classifier Project for AI Programming with Python Nanodegree (Udacity)
Kacoon-website
This is a website for reseller cloud hosting
Machine-Learning-Links-And-Lessons-Learned
List of all the lessons learned, best practices, and links from my time studying machine learning
Multi-Label-Fashion-MNIST
Multi-Label Classification and Class Activation Map on Fashion MNIST
pytorch-YOLOv4
PyTorch ,ONNX and TensorRT implementation of YOLOv4
Question-Paper-generator
This is a python program to generate a new question paper based on an excel file containing group of chapters and priorties.
rad_assist_v2
amanrs's Repositories
amanrs/Kacoon-website
This is a website for reseller cloud hosting
amanrs/DeDuSERP
Removing duplicate results from the Search engine result page
amanrs/Dog_Image_Classifier
First project of Udacity AI programming with python
amanrs/fast-face-android
👦 Fast-Face : Android App for Real-time Face Landmark Detection. You can check your landmarks in 60ms
amanrs/Flower_Image_Classifier
Final Image Classifier Project for AI Programming with Python Nanodegree (Udacity)
amanrs/Machine-Learning-Links-And-Lessons-Learned
List of all the lessons learned, best practices, and links from my time studying machine learning
amanrs/Multi-Label-Fashion-MNIST
Multi-Label Classification and Class Activation Map on Fashion MNIST
amanrs/pytorch-YOLOv4
PyTorch ,ONNX and TensorRT implementation of YOLOv4
amanrs/Question-Paper-generator
This is a python program to generate a new question paper based on an excel file containing group of chapters and priorties.
amanrs/rad_assist_v2
amanrs/video_directory_to_csv
Simple python script to take all the video from the directory then extract images (frames) from the video and save it inside CSV files (1 CSV file for each video)