Implementation of normalizing flows in TensorFlow 2 including a small tutorial.

simple crypto market maker

Benchmarks of approximate nearest neighbor libraries in Python

Collection of notebooks about quantitative finance, with interactive python code.

Bayesian Optimisation Tutorial

Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.

Productive, portable, and performant GPU programming in Python.

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

This is the codebase for Voronoi Progressive Widening [Lim, Tomlin and Sunberg 2021].

A bot that displays a scorecard of all games played between players in a discord server

fast parameter estimation for simpler Hawkes processes

code for "Fully Neural Network based Model for General Temporal Point Processes"

Modeling the asynchronous event sequence via Recurrent Point Process

learning point processes by means of optimal transport and wasserstein distance

Keras implementations of Generative Adversarial Networks.

Tensorflow implementation for learning an image-to-image translation without input-output pairs. https://arxiv.org/pdf/1703.10593.pdf

Simple Tensorflow Cookbook for easy-to-use

Simple Tensorflow implementation of "Large Scale GAN Training for High Fidelity Natural Image Synthesis" (BigGAN)

Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/

Image-to-image translation with conditional adversarial nets

Simple Tensorflow implementation of "Self-Attention Generative Adversarial Networks" (SAGAN)

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

Image-to-Image Translation in PyTorch

Reimplementation of GANs

Compare GAN code.

Workflows for large scale data analytics on Palmetto Cluster using Dask

Example Palmetto tasks

Tutorials, assignments, and competitions for MIT Deep Learning related courses.