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books

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buildingmachinelearningsystemswithpython

Source Code for the book Building Machine Learning Systems with Python

byol

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

cam-dropping-neurons

When significant neurons of trained neural networks is dropped gradually, the trained model loses it ability to classify the label correctly.

computer-vision

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

cpp_multithreading_mysql

We are exploring on how to use Multithreading concept to Add,Update and Delete the record in MySQL Database all happening together using C++.

cvnd_exercises

Exercise notebooks for CVND.

cvnd_localization_exercises

Notebooks for learning about object motion and localization methods in the last section of CVND.

cyclegan-pytorch

Basic overview of CycleGAN and its Implementation using Pytorch

data-analytics-using-python

Understanding Basic and Intermediate level of Data Analysis using Python

data-structure-algorithms

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

deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

deep-learning-papers

This repository maintains Deep learning papers and its implementation.

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

einops

Deep learning operations reinvented (for pytorch, tensorflow, jax and others)

explore-libraries

Understanding and implementing NLP and CV libraries with ML standpoint.

flet-templates-for-ml-apps

image-classification-pytorch

Learning and Building Convolutional Neural Networks using PyTorch

keepsake

Version control for machine learning

learn-numpy

Everything you need to know about Numpy.

learning-pytorch

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

learningpython

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

machine-learning

Implementation of Machine Learning Algorithms with Different Dataset

mayurji

mayurji.github.io

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

mlwithnumpy

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

mlwithpytorch

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

model-deployment

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

n2d-pytorch

Pytorch Implementation of N2D(Not Too Deep) Clustering: Using deep clustering and manifold learning to perform unsupervised learning of image clustering.

observeml

AI Observability & Evaluation - Evaluate, troubleshoot, and fine tune your LLM, CV, and NLP models in a notebook.