maykulkarni

Machine-Learning-Notebooks

Machine Learning notebooks for refreshing concepts.

Machine-Learning-Curriculum

Complete path for a beginner to become a Machine Learning Scientist!

Manhattan-GRE-Words-Shuffled

Competitive-Programming

Various questions I solved while practicing Competitive Programming

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

vision-models-scratch

Creating Computer Vision models from scratch

CS231N

Notes and code for CS231N course at Stanford University

kaggle_solutions

Pytorch-Tutorials

Pytorch Tutorials

tensorflow_tutorials

Tutorial on basic usage of TensorFlow

ado-test

advanced-track-spring18

Repo for the code used during our Advanced Track: Intro to ML workshop series

algo_trading

algopy

darknet

Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)

DevOpsKit

dvc

🦉Data Version Control | Git for Data & Models

dvc.org

🔗 DVC website and documentation

FER2013

CNN based on images from Kaggle's FER2013 competition, achieving 67.59% accuracy on the final test set - equivalent of the 5th place on the leaderboard.

maykulkarni.github.io

My Website

miniflow

dumbed down implementation of tensorflow

models

Models and examples built with TensorFlow

ms-hackathon

nlp_assignment

openimages_transfer_learning

python-docs-hello-world

A simple python application for docs

Python-Tutorial

My notes from various sources

scikit-learn

scikit-learn: machine learning in Python

travis-ci-demo

tutorials

PyTorch tutorials.