hotessy Goto Github PK

haskell-tutorial

Exercises for http://learn.hfm.io in Jupyter notebooks

insta-graphql-scraper

scrapes posts using location and start and end time

instagram-crawler

Get Instagram posts/profile/hashtag data without using Instagram API

instagram-scraper

Scrapes an instagram user's photos and videos

intrologic

The Introduction to Logic Course at http://intrologic.stanford.edu/public/lessons.php

iqoptionapi

IQ Option API 4.x (Python 2.7)

kaggle

A collection of Kaggle solutions. Not very polished.

lean-modal

modal logic library for LEAN theorem prover

linearmodels

Add linear models including instrumental variable and panel data models that are missing from statsmodels.

ll

Linear Logic references

media-scraper

Scrapes all photos and videos in a web page / Instagram / Twitter / Tumblr / Reddit / pixiv / TikTok

mlcourse.ai

Open Machine Learning Course

modern-opengl-tutorials

moderntimeseries

Collection of time series tutorials

node-style-guide

A guide for styling your node.js / JavaScript code. Fork & adjust to your taste.

nse-historical-data

Get historical P/E, P/B and Div. Yield values indices listed on the National Stock Exchange, India.

nsit_itp-16

All the ITP assignments given to the batch of 2019, solved!

numerical-linear-algebra

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

og-aws

📙 Amazon Web Services — a practical guide

opengl-tutorials

origin_essen_public

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 ;)

probandstats-pydatanyc2019

Introduction to Probability and Statistics

pyro-m5-starter-kit

Learn Pyro through the M5 forecasting competition

python-data-structure

This repository will be really helpful, if you want to learn from the scratch in Python Programming Languages. Also, makes your strong in Basic Python.

reasoning_practice

resources

PyMC3 educational resources

sampling-based-inference

This repository provides intutive explainations for the approximate inference methods such as MCMC, Gibbs, and HMC

shell-scripts

Shell scripting utility functions and a bash script boilerplate template

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning