ankit-kothari

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

copilot-docs

Documentation for GitHub Copilot

data-science-interviews

Data science interview questions and answers

bertviz

BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

gpt-llm-trainer

DockerCheatSheet

🐋 Docker Cheat Sheet 🐋

ML-Notebooks

:fire: Machine Learning Notebooks

bayesian-stats-modelling-tutorial

How to do Bayesian statistical modelling using numpy and PyMC3

recommendation

Recommendation System using ML and DL

storytelling-with-data

Plots from the book "Storytelling with data" implementation using Python and matplotlib

scipy2014_tutorial

Tutorial: Bayesian Statistical Analysis in Python

recommender-system-tutorial

A step-by-step tutorial on developing a practical recommendation system (retrieval and ranking) using TensorFlow Recommenders and Keras.

video-game-training-sql

Hey this is the repo that has all the queries and data for my video game training series!

kneser-ney

Kneser-Ney implementation in Python

BPMF

Python implementation of Bayesian Probabilistic matrix Factorization algorithm.

study_notes

Repo contains Jupyter notebooks compiled during my review of the programming books listed.

dask-mini-tutorial

This repo contains a short version of a dask tutorial.

30DayChartChallenge_Collection2021

Collection of contributions to and resources for the first #30DayChartChallenge in April 2021

ML-foundations

Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science