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tuckerdarby's Projects

comfyui-rave icon comfyui-rave

RAVE: Randomized Noise Shuffling for Fast and Consistent Video Editing with Diffusion Models - Official Repo

compositional-modeling icon compositional-modeling

A compositional model able to generate the composition of a multi-component hydrocarbon fluid. Also a ternary diagram add-on, compliments to python-ternary@github:marcharper

csd icon csd

Collaborative Score Distillation for Consistent Visual Synthesis (NeurIPS 2023)

drilling-completions-casing icon drilling-completions-casing

This program given the inputs of your desired drill hole will compute the cheapest casing that will withstand the conditions you set.

galaxy-physics-engine icon galaxy-physics-engine

A stub reference to my work producing a mod for the online game Starcraft 2 - which won 6th place in the first ROC Blizzard contest.

gdc icon gdc

Code for the ICLR 2021 paper "A Distributional Approach to Controlled Text Generation"

gedi icon gedi

GeDi: Generative Discriminator Guided Sequence Generation

public-traffic icon public-traffic

An attempt to create map directions for NYC using a public and free database. Written in Python 2.7 and uses Pandas.

reservoir-simulator icon reservoir-simulator

A simple 2d reservoir simulator written in C#, able to model two-phase flow across an area with multiple inputs and outputs. Some options are still a WIP

simple-reinforcement icon simple-reinforcement

A machine learning project for Udacity on Reinforcement Learning. Using Q-Learning a simulated car learns the rules of the road.

stock-visuals icon stock-visuals

An AngularJS site that uses D3, ui-router, angular-material and Yahoo YQL API to provide visual stock graphs with some nice effects. Fully client-side.

tokenflow icon tokenflow

Official Pytorch Implementation for "TokenFlow: Consistent Diffusion Features for Consistent Video Editing" presenting "TokenFlow" (ICLR 2024)

udacity-supervised-learning icon udacity-supervised-learning

A project for Udacity on Supervised Learning using SciKit-Learn. This is a student-intervention system which classifies students who may be in trouble of failing based on a number of characteristics.

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