nisargvp Goto Github PK

100datasets

100 Datasets Analyzed

advancedsql2024

algorithms

🔥🤙🏼 Coursework for Algorithms Specialisation on Coursera by Tim Roughgarden & Stanford University

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

autograd

Efficiently computes derivatives of numpy code.

awesome-machine-learning-interpretability

A curated list of awesome machine learning interpretability resources.

brooklyn-data-sql-style-guide

Style guides and conventions

btsa

Berlin Time Series Analysis Repository

causal-inference-tutorial

Repository with code and slides for a tutorial on causal inference.

causalml

The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML

causalnex

A Python library that helps data scientists to infer causation rather than observing correlation.

cfdpython

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

cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

codinginterviews

This repository contains coding interviews that I have encountered in company interviews

course-python-4-production

covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

covid-cruiseship

Network Model of COVID-19 on Cruise Ships

covid-justonefriend

covid19

covid19-forecast-hub

Projections of COVID-19, in standardized format

covid19-tutu

create-ml-app

Template Makefile for ML projects in Python.

data_structures_python

Data Structures and Information Retrieval in Python

decisionmaking-code-py

Python versions of all typeset code blocks from the book, Algorithms for Decision Making.

deep-learning-in-production

Develop production ready deep learning code, deploy it and scale it

dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

dsirpsolutions

Solutions to the exercises in Data Structures and Information Retrieval in Python (DSIRP)

dynamicprocessesonnetworks