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alarmclock

HooApp project Alarm part

analysis-digit

analysis-titanic

Analysis of the Titanic dataset

analysis-vgsales

arxiv_bot

Arxiv Scraping bot for Slack. Designed using slackclient.

awesome-diffusion-models

A collection of resources and papers on Diffusion Models and Score-based Models, a darkhorse in the field of Generative Models

awesome-gan-inversion

A collection of resources on GAN inversion.

basichololens

Hololens Application based on the articles of Jason Odom (https://creator.wonderhowto.com/subere23/)

beautiful-jekyll

:sparkles: Build a beautiful and simple website in literally minutes. Demo at http://deanattali.com/beautiful-jekyll

champ

Champ: Controllable and Consistent Human Image Animation with 3D Parametric Guidance

chupa

convolutional-neural-networks

Course Notes from https://www.coursera.org/learn/convolutional-neural-networks

coursera_deeplearning

Coursera's Deep Learning course taught by Andrew Ng

data-analysis--main

Contents from Data Analysis Class

data-science-coding-practice

Coding Exercise on Text classification and Recommender System, related to https://docs.google.com/document/d/1iIsVtWWE2pLU8jFBpqdAQr3hFn3Vijv9naO-4aJ-uyk/edit

dataanalysisclass

Contents from Data Analysis Class

databass-public

Databass assignment codebase

deep3dfacereconstruction

Deep3DFaceReconstruction

dfl_pytorch

diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

documents

encoder4editing-stylegan3

Modified repo of encoder4editing for stylegan3 encoding

face-alignment

:fire: 2D and 3D Face alignment library build using pytorch

fdivp

Personal repository for the homeworks of course "Fundamentals of Digital Image and Video Processing" from Coursera

fewshot-face-translation-gan

Generative adversarial networks integrating modules from FUNIT and SPADE for face-swapping.

football-madness

Research on Speed of football players

footballdatabase

gqn-dataset-renderer

hackathon

head2head

PyTorch implementation for Head2Head and Head2Head++. It can be used to fully transfer the head pose, facial expression and eye movements from a source video to a target identity.