Mayur's Projects
Read Books
Source Code for the book Building Machine Learning Systems with Python
BYOL - Bootstrap Your Own Latent, an approach to learn the image representation using two networks learning from each other.
When significant neurons of trained neural networks is dropped gradually, the trained model loses it ability to classify the label correctly.
Find the implementation of Computer vision-based projects with Python, Deep Learning, and OpenCV
We are exploring on how to use Multithreading concept to Add,Update and Delete the record in MySQL Database all happening together using C++.
Exercise notebooks for CVND.
Notebooks for learning about object motion and localization methods in the last section of CVND.
Basic overview of CycleGAN and its Implementation using Pytorch
Understanding Basic and Intermediate level of Data Analysis using Python
Repository maintains all the basics and important data structure and algorithms implementation.
Repo for the Deep Learning Nanodegree Foundations program.
This repository maintains Deep learning papers and its implementation.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Deep learning operations reinvented (for pytorch, tensorflow, jax and others)
Understanding and implementing NLP and CV libraries with ML standpoint.
Learning and Building Convolutional Neural Networks using PyTorch
Version control for machine learning
Everything you need to know about Numpy.
This Repository contains notebook for learning the Deep Learning Framework - PyTorch.
The objective of the repository is to learn python in efficient way by practing and understanding the most basics required to get started.
Implementation of Machine Learning Algorithms with Different Dataset
It includes access to my work, my blogs, annotated papers and implementation of deep learning & machine learning models.
A set of Notebooks to write simple and efficient ML algorithms using Numpy
Objective of the repository is to learn and build machine learning models using Pytorch. 30DaysofML Using Pytorch
Learn how to deploy model using Flask, Sanic, Fastapi and then Onnx
Pytorch Implementation of N2D(Not Too Deep) Clustering: Using deep clustering and manifold learning to perform unsupervised learning of image clustering.
AI Observability & Evaluation - Evaluate, troubleshoot, and fine tune your LLM, CV, and NLP models in a notebook.