andrew-ng-notes

This is Andrew NG Coursera Handwritten Notes.

audiomentations

A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.

aws-codecommit

Setting up AWS CodeCommit

awslambdasample

azurewebapp

cheat-sheet-dnn

coursera-machine-learning-solutions-python

A repository with solutions to the assignments on Andrew Ng's machine learning MOOC on Coursera

csv-edit-node

data-science-cheatsheet

A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.

datasciencecoursera

datasharing

The Leek group guide to data sharing

deeplabv3

PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.

dlaicourse

Notebooks for learning deep learning

expressjs

fastbook

The fastai book, published as Jupyter Notebooks

generative-ai-for-beginners

12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

generative-ai-with-llms-notes

Notes for the course Generative AI With Large Language Models, offered by DeepLearning.AI on Coursera

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

helm

Holistic Evaluation of Language Models (HELM), a framework to increase the transparency of language models (https://arxiv.org/abs/2211.09110). This framework is also used to evaluate text-to-image models in Holistic Evaluation of Text-to-Image Models (HEIM) (https://arxiv.org/abs/2311.04287).

ml

ml-coursera-python-assignments

Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.

ml-for-beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

neural-network-from-scratch

A Neural Network implemented from scratch (using only numpy) in Python.

openpcdet_ros

OpenPCDet for ROS noetic, docker image also provided

papers

Summaries of papers on machine learning, computer vision, autonomous robots etc.

predae_deeplab

t81_558_deep_learning

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

tensorflow-1-public

vikasnr

Config files for my GitHub profile.