classner

up

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

pymp

Easy, OpenMP style multiprocessing for Python on Unix.

barrista

The best way to get your caffe served!

fertilized-forests

Repository for the fertilized forests project.

forpy

Efficient decision forests in C++ and Python.

classner.github.io

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.

opendr

pytorch3d

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

qoi

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

bazel-gazelle

Gazelle is a Bazel build file generator for Bazel projects. It natively supports Go and protobuf, and it may be extended to support new languages and custom rule sets.

bazel_data_reproducer

bazel_shared_lib_name_reproducer

chumpy

flash-attention

Fast and memory-efficient exact attention

FrEIA

Framework for Easily Invertible Architectures

hydra

Hydra is a framework for elegantly configuring complex applications

LanguageServer.jl

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

mailcow-dockerized

mailcow: dockerized - 🐮 + 🐋 = 💕

memcnn

PyTorch Framework for Developing Memory Efficient Deep Invertible Networks

pdm-plugin-torch

A tool for managing torch-variants with PDM.

poseval

Evaluation of multi-person pose estimation and tracking

pypiprivate

pytorch-template

PyTorch project template.

rules_multirun

Bazel rules for running multiple commands in parallel in a single bazel invocation

rules_uv

Bazel rules for running uv

sapling_test2

staged-recipes

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

vcstest

webdataset

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