kuldeep suthar's repositories
100DaysOfMLCode
This repository contains all the required resources regarding the 100+ Days Of ML Code Telgram Group which was driven by me from 1-1-2019 to 31-12-2019 !!
Amazon-User-Based-Recommendation-Model
Built a user based recommendation model based on movie reviews and ratings given by the customer.
awesome-for-beginners
A list of awesome beginners-friendly projects.
Computer-Vision--Oject-Tracking-using-OpenCv-and-Python
This project is for those who want to start working with OpenCV for Computer Vision projects. You will learn Object Tracking with OpenCV and Python. At the end of this project, you will know how Optical and Dense Optical Flow works, how to use the MeanShift and the CamShift and you will be able to do a Single Object Tracking and a Multi-Object Tracking.
datasets
A collection of datasets of ML problem solving
Django
start with Django
face_mask_detection
Face mask detection system using Deep learning.
first-order-model
This repository contains the source code for the paper First Order Motion Model for Image Animation
laravel
basis laravel framework
Machine-Learning-Algorithms-with-Pyspark
In this Complete process in machine learning is discussed and done with pyspark .
Mask-Classifier
Deep Learning Model(LeNet) to classify face with_mask/without_mask
MasKorona
utilizing Artificial Intelligence to distinguish mask-covered vs non-covered faces
Music_player_with_Emotions_recognition
This program can recognize your mood by detecting your face and play song according your mood
opencv
Open Source Computer Vision Library
pyhton-basic-and-ML-
reference from online youtube tutorial l
Real_Time_Image_Animation
The Project is real time application in opencv using first order model
t81_558_deep_learning
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
TensorFlow-Fundamentals-for-AI-and-DeepLearning
Here are some basic TensorFlow fundamentals which will be useful for strengthening basics in TensorFlow.
You-Dont-Know-JS
A book series on JavaScript. @YDKJS on twitter.