Christoph Lassner (classner)

classner

Geek Repo

Company:Epic Games

Location:San Francisco, USA

Home Page:http://christophlassner.de

Twitter:@chlassner

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Christoph Lassner's repositories

up

Official code repository for the paper "Unite the People โ€“ Closing the Loop Between 3D and 2D Human Representations".

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pymp

Easy, OpenMP style multiprocessing for Python on Unix.

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generating_people

Official code repository for the paper "A Generative Model for People in Clothing".

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barrista

The best way to get your caffe served!

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fertilized-forests

Repository for the fertilized forests project.

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forpy

Efficient decision forests in C++ and Python.

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clustertools

Some tools I found useful in a HTCondor cluster environment.

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curated-list-of-awesome-3D-Morphable-Model-software-and-data

The idea of this list is to collect shared data and algorithms around 3D Morphable Models. You are invited to contribute to this list by adding a pull request. The original list arised from the Dagstuhl seminar on 3D Morphable Models https://www.dagstuhl.de/19102 in March 2019.

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pytorch3d

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

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qoi

A simple Python wrapper around QOI (https://github.com/phoboslab/qoi)

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afew

an initial tagging script for notmuch mail

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FrEIA

Framework for Easily Invertible Architectures

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hydra

Hydra is a framework for elegantly configuring complex applications

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LanguageServer.jl

An implementation of the Microsoft Language Server Protocol for the julia language.

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mailcow-dockerized

mailcow: dockerized - ๐Ÿฎ + ๐Ÿ‹ = ๐Ÿ’•

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memcnn

PyTorch Framework for Developing Memory Efficient Deep Invertible Networks

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pdm-plugin-torch

A tool for managing torch-variants with PDM.

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poseval

Evaluation of multi-person pose estimation and tracking

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pure

Pretty, minimal and fast ZSH prompt

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pytorch-template

PyTorch project template.

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scikit-learn

scikit-learn: machine learning in Python

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staged-recipes

A place to submit conda recipes before they become fully fledged conda-forge feedstocks

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webdataset

A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.

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