prateekchandrajha Goto Github PK

a-picture-is-worth-a-1000-words

I am trying to describe complex matters in simple doodles!

ampligraph

Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org

autogl

An autoML framework & toolkit for machine learning on graphs.

awesome-ai-ml-dl

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

awesome-conformal-prediction

A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD theses, articles and open-source libraries.

awesome-list-of-awesomes

A curated list of all the Awesome --Topic Name-- lists I've found till date relevant to Data lifecycle, ML and DL.

awesome-shapley-value

Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)

bayesian-optimization

Python code for bayesian optimization using Gaussian processes

competitive-prog-in-python

Competitive Programming in Python

conformal-prediction

Lightweight, useful implementation of conformal prediction on real data.

coursera-practical-data-science-specialization

Solutions on Practical Data Science Specialization on Coursera (offered by deeplearning.ai)

cs-video-courses

List of Computer Science courses with video lectures.

cs224

data-engineering-zoomcamp

Free Data Engineering course!

data-science-cheatsheet

A helpful 4-page data science cheatsheet to assist with exam reviews, interview prep, and anything in-between.

dataquest-mini-projects

deeplearningbook-notes

Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)

deslib

A Python library for dynamic classifier and ensemble selection. Note that this repository is just a fork. The original repository is hosted on scikit-learn-contrib: https://github.com/scikit-learn-contrib/DESlib

dgl-ke

High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.

diffusers

ds-career-resources

Compilation of resources and insights that helped me on my journey to data scientist

examples

Examples from knowledge graphs tutorial paper

fastbook

The fastai book, published as Jupyter Notebooks

featurewiz

Use advanced feature engineering strategies and select best features from your data set with a single line of code.

gamestonkterminal

Investment Research for Everyone.

goodrich

The source code for 'Data Structures and Algorithms in Python' by Goodrich, Tamassia, Goldwasser

hellinger-distance-criterion

Random Forest model using Hellinger Distance as split criterion

information-retrieval-term-project

Information Retrieval Term Project (August - December 2020)

ir_datasets

Provides a common interface to many IR ranking datasets.

ito

Intelligence Task Ontology (ITO)