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500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

amazing-feature-engineering

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

andrew-ng-notes

This is Andrew NG Coursera Handwritten Notes.

ann-python

Artificial Neural Networks in Python

awesome-earth

"What can I do about the climate crisis?" Here are 326 things you can do.

awesome-gee

A curated list of Google Earth Engine resources

awesome-geospatial

Long list of geospatial tools and resources

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

caminos

"Data Science for a Better World"—A tutorial for the GW Caminos al Futuro Summer program

cfdpython

A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/

climate-change-data

:earth_africa: A curated list of APIs, open data and ML/AI projects on climate change

climate-change-datasets

Here is a list of Climate Change Public Datasets 🌦🌪🌫🌀💧🌊

cloud-repro

Reproducible workflow on a public cloud for computational fluid dynamics

cs229-python

Exercises and solutions to Stanford CS229 Machine Learning in Python

cwatm

CWatM represents one of the new key elements of IIASA’s Water Security program to assess water supply, water demand and environmental needs at global and regional level.

data-science-interview-questions-with-answers

datatableton

100 datatable exercises

deep-learning-resources

A collection of free resources specially curated for getting started with Deep Learning easily. Prerequisites are Mathematics and Machine Learning.

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deployingmlmodel

Deploying a FastAi regression Model using Flask API

educative.io_courses

this is downloadings of all educative.io free student subscription courses as pdf from GitHub student pack

flopy

A Python package to create, run, and post-process MODFLOW-based models.

fmm_tutorial

A step-by-step introduction to treecode.

free-resources-books-papers

Books and Papers in Mathematics, Econometrics, Machine Learning, Finance etc for different levels that can be useful for Data Scientists, Developers and everyone whoo is interesting in STEM.

from-0-to-research-scientist-resources-guide

Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.

ganga-water-quality-assessment

The project is based on my work as a Research Intern under the supervision of Dr. Manish Kumar, Associate Professor at IIIT, Allahabad.

ganpat-university-data-science

This is repository of Crash Course of data science at Ganpat University

geospatial-machine-learning

A curated list of resources focused on Machine Learning in Geospatial Data Science.

gstools

GSTools - A geostatistical toolbox: random fields, variogram estimation, covariance models, kriging and much more