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pygorithm

A Python module for learning all major algorithms

pymc3

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano

pystacknet

python

All Algorithms implemented in Python

python-dp-means-clustering

DP-means K-means clustering algorithms comparison

python-for-signal-processing

Notebooks for "Python for Signal Processing" book

pythonflow

:snake: Dataflow programming for python.

pytorch-cyclegan-and-pix2pix

Image-to-Image Translation in PyTorch

pytorch-normalizing-flows

Normalizing flows in PyTorch. Current intended use is education not production.

pytorch-transformers

👾 A library of state-of-the-art pretrained models for Natural Language Processing (NLP)

pytrendfollow

PyTrendFollow - systematic futures trading using trend following

quant

Quantitative Analysis Research see more at https://teddykoker.com

quant-methods-hw

Homework :books:

quant-trading

Python quantitative trading strategies including MACD, Pair Trading, Heikin-Ashi, London Breakout, Awesome, Dual Thrust, Parabolic SAR, Bollinger Bands, RSI, Pattern Recognition, CTA, Monte Carlo, Options Straddle

quant_at

Python version of Dr. Ernie Chan's Matlab code and some inspired from Robert Carver's, plus some raw data downloaders

quantdsl

Quant DSL

ray

A fast and simple framework for building and running distributed applications.

really-awesome-gan

A list of papers on Generative Adversarial (Neural) Networks

reuters-full-data-set

Full dataset of Reuters composed of 8,551,441 news titles, links and timestamps (Jan 2007 - Aug 2016). Generate your own up to today!

route-optimizer-machine-learning

Route optimization solution which uses evolutionary algorithm with XGBoost model to optimize travel times.

scikit-optimize

Sequential model-based optimization with a `scipy.optimize` interface

scipy2014_tutorial

Tutorial: Bayesian Statistical Analysis in Python

scrapers

Scrapers from a project in 2018. Yelp, Spyfu, Similarweb, Morningstar, Linkedin, Instagram, Inside, Glassdoor, Facebook, Eat24, Doordash, Angellist.

seq2seq-signal-prediction

Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier

shap

A unified approach to explain the output of any machine learning model.

simple

Experimental Global Optimization Algorithm

simulated-unsupervised-tensorflow

TensorFlow implementation of "Learning from Simulated and Unsupervised Images through Adversarial Training"

solana

Web-Scale Blockchain for fast, secure, scalable, decentralized apps and marketplaces.

solana-bootcamp-lectures

stanford-tensorflow-tutorials

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.