Implementation of CUDA programs from the book: "Programming Massively Parallel Processors"

Understanding and implementing NLP and CV libraries with ML standpoint.

I am testing dvc exp-tracking locally

Learn the basics of Google Agent Development Kit.

Objective of the repository is to learn and build machine learning models using Pytorch. 30DaysofML Using Pytorch

I am testing dvc data pipeline locally

I am testing dvc data pipeline locally

I am testing dvc locally

testing github for ml

Assuming as a working employee of a Restaurant registered in Zomato, Employee should receive the alert in form a Mail when a Negative Feedback is written !

It includes access to my work, my blogs, annotated papers and implementation of deep learning & machine learning models.

Everything you need to know about Numpy.

The objective of the repository is to learn python in efficient way by practing and understanding the most basics required to get started.

Learning and Building Convolutional Neural Networks using PyTorch

Find the implementation of Computer vision-based projects with Python, Deep Learning, and OpenCV

This Repository contains notebook for learning the Deep Learning Framework - PyTorch.

BYOL - Bootstrap Your Own Latent, an approach to learn the image representation using two networks learning from each other.

Self-Supervised Learning approach to learn contrasting representation between images.

A set of Notebooks to write simple and efficient ML algorithms using Numpy

Objective of the repository to play around with different tools (keepsake, MLflow etc) with basic projects.

Learn how to deploy model using Flask, Sanic, Fastapi and then Onnx

Repository maintains all the basics and important data structure and algorithms implementation.

Basic overview of CycleGAN and its Implementation using Pytorch