Deep Learning Statistical Arbitrage

Guide on how to prepare for quant trading roles out of college

Bloomberg Python API

Bloomberg Open API with pandas

pandas wrapper for Bloomberg Open API

Toolkit for integration and analysis

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

Designed to manage my paper trades and practice integrating Python with Excel.

gathers Python stack for DevOps, these are usually my basic templates use for my implementations, so, feel free to use it and evolve it! Everything is Docker!

Comprehensive list of scholarships for the Grace Hopper Conference

Pytorch Implementation of "Adversarial Learning For Semi-Supervised Semantic Segmentation" for ICLR 2018 Reproducibility Challenge

A tensorflow implementation of "Retinal Vessel Segmentation in Fundoscopic Images with Generative Adversarial Networks"

A list of papers on Generative Adversarial (Neural) Networks

Progressive Growing of GANs for Improved Quality, Stability, and Variation

Curated list of awesome GAN applications and demo

Tensorflow Best Practices

How to train a TensorFlow Object Detection Classifier for multiple object detection on Windows

Generative adversarsarial networks

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN