adityamangal1

README

air_quality_prediction_using_gnn

It's spatiotemporal prediction of nitrogen dioxide (NO2) using Graphical Neural Network

appliednlpworkshop

Repository of contents (+notebooks) covered in AV's Datahack Summit 2019 workshop on Applied NLP by Sudalai Rajkumar

assignment

AI-ML assignment solution

awesome-argoverse-trajectory-prediction

A SOTA research materials on trajectory prediction on Argoverse data

awesome-collection-of-resources-for-ai-ml

This collection includes articles, papers, and YouTube links that serve as valuable resources for learning AI-ML.

awesome-trajectory-motion-prediction-papers

complete-python-3-bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

computer-vision-

computervision-projects

Some simple computer vision implementations using OpenCV

cookiecutter-data-science

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

cs231n.github.io

Public facing notes page

data-analysis-projects

data-portfolio

Data Portfolio

data-science-interview-questions-answers

Curated list of data science interview questions and answers

data_engineering_workshop

deep-math

Implementation of "Analysing Mathematical Reasoning Abilities of Neural Models"

deep_learning_in_sound_datasets

deeplearning-models

A collection of various deep learning architectures, models, and tips with PyTorch and TensorFlow

deeplearning-research-papers

Summaries and notes on Deep Learning research papers

deeplearning-specialization-coursera

Repo for Andrew Ng Deep Learning Specialization Course

gan_based_projects

gluon-cv

Gluon CV Toolkit

gnn4traffic

This is the repository for the collection of Graph Neural Network for Traffic Forecasting.

handson-ml

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

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.

handson-ml3

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.

important_pytorch_tutorial

PyTorch Tutorial for Deep Learning Researchers

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

julia_notebooks

Julia Jupyter/Colab Notebooks