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ohmyzsh

🙃 A delightful community-driven (with 1700+ contributors) framework for managing your zsh configuration. Includes 200+ optional plugins (rails, git, OSX, hub, capistrano, brew, ant, php, python, etc), over 140 themes to spice up your morning, and an auto-update tool so that makes it easy to keep up with the latest updates from the community.

one-shot-siamese

A PyTorch Implementation of "Siamese Neural Networks for One-shot Image Recognition"

open-source-ios-apps

:iphone: Collaborative List of Open-Source iOS Apps

openbilibili

openglempty

for Mac

partnet_edges

pic

pic-go-pictures

pilotcollection

pilotcollection-swift

pinocchio

The pinocchio auto-rigging / weighting tool - modification

pipeline

pix2pixhd

Synthesizing and manipulating 2048x1024 images with conditional GANs

pixel2mesh

Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images. In ECCV2018.

pixel2mesh-pytorch

Final project for RecVis 18

point2mesh

Reconstruct Watertight Meshes from Point Clouds [SIGGRAPH 2020]

polyscope

A C++ & Python viewer for 3D data like meshes and point clouds

pose-estimation_tutorials

Tools and tutorials of pose estimation and deep learning

prml

PRML algorithms implemented in Python

prml-spring19-fudan

Course Website for PRML Spring 2019 at Fudan University

project-based-learning

Curated list of project-based tutorials

pyopengl-tutorial

A Python/PyOpenGL implementation of the first few example programs from Jason McKesson's excellent OpenGL tutorial.

python

All Algorithms implemented in Python

python-data-structure-cn

problem-solving-with-algorithms-and-data-structure-using-python 中文版

python-opengl-tutorial

Python opengl-tutorial base on PyOpenGL.

python-programming-exercises

100+ Python challenging programming exercises

pytorch-cyclegan-and-pix2pix

Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

pytorch-tutorial-1

Build your neural network easy and fast

pytorch3d

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

qemu