nikkitangl Goto Github PK

100-days-of-ml-code

100 Days of ML Coding

autoviz

Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

avellaneda-stoikov

Replication of study Avellaneda, Marco, and Sasha Stoikov: High-frequency trading in a limit order book. Quantitative Finance 8.3 (2008): 217-224.

awesome-quant

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

bitcoin-price-prediction-lstm

A Model to Predict any kind of price such as Crypto price or Stock price using LSTM network and python

cpython

The Python programming language

data-scientist-books

Data-Scientist-Books (Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Long Short Term Memory, Generative Adversarial Network, Time Series Forecasting, Probability and Statistics, and more.)

gans

gpt-3

GPT-3: Language Models are Few-Shot Learners

inputoutputanalysis

Exercises from Introduction to Modern Input-Output Analysis university class.

iopy

Input-output data with Python

ipythonscripts

Tutorials about Quantitative Finance in Python and QuantLib: Pricing, xVAs, Hedging, Portfolio Optimisation, Machine Learning and Deep Learning

latexify_py

Generates LaTeX math description from Python functions.

ldp-voloptions

Large Deviations for volatility options

learntocode

Individual session resources for each Learn to Code session

lob-feature-analysis

Feature engineering of a Limit Order Book. Extraction of features from a LOB in order to analyse the behaviour of trade market.

lobster-python-demo-code

Python demo code for LOBSTER limit order book data

machine-learning-cheat-sheet

Classical equations and diagrams in machine learning

machine-learning-interview

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

machine-learning-resources

A curated list of awesome machine learning frameworks, libraries, courses, books and many more.

machine-learning-systems-design

A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"

machine_learning

Examples of common machine learning algorithms implemented in python

micropriceindicator

This repository serves to share the replicated results listed in the paper by Sasha Stoikov - The Micro-Price. As opposed to data used in the paper for US equities BAC and CVX, I am using the data for the Crypto pair ETHBTC. The data was pulled by me from Binance by subscribing to three different streams - Market Trades, Partial Depth and Orderbook

mlfbook

mlquestions

Machine Learning and Computer Vision Engineer - Technical Interview Questions

neuralsde-marketmodel

Python modules and jupyter notebook examples for the paper Arbitrage-free Neural-SDE Market Models.

orderimbalance

Order Imbalance Strategy in High Frequency Trading

oxml-comptetiton

prml

Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media