junzhezhang Goto Github PK

cmr

Project repo for Learning Category-Specific Mesh Reconstruction from Image Collections (Python3/PyTorch)

cnmem

A simple memory manager for CUDA designed to help Deep Learning frameworks manage memory

coap

[CVPR'22] COAP: Learning Compositional Occupancy of People

commonmodules

configs_files

cudnn

d-nerf

dagmm

My attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection

deep-learning-helper

Some helpful snippets for deep learning model building

deep-reinforcement-learning-survey

My Exploration on Deep Reinforcement Learning Survey

deformtoon3d

Official code release for DeformToon3D: Deformable 3D Toonification from Neural Radiance Fields (ICCV 2023)

f-lsesim

CVPR 2021: "The Spatially-Correlative Loss for Various Image Translation Tasks"

fixmempool

fixed-block size memory pool, doubly linking with index in an array of object.

gdna

geeps

GPU-specialized parameter server for GPU machine learning.

gof_neurips2021

The codebase for our paper "Generative Occupancy Fields for 3D Surface-Aware Image Synthesis" (NeurIPS 2021)

icon

ICON: Implicit Clothed humans Obtained from Normals (CVPR 2022)

incubator-singa

Mirror of Apache Singa (Incubating)

kaolin

A PyTorch Library for Accelerating 3D Deep Learning Research

kmeans

A CUDA implementation of the k-means clustering algorithm

leetcode

Python & JAVA Solutions for Leetcode

machine_learning_basics

Plain python implementations of basic machine learning algorithms

meminfo

meminfoswap

memInfoSwap from 2/9

mesh-inversion

[ECCV 2022] Monocular 3D Object Reconstruction with GAN Inversion

messytable-1

MessyTable: Instance Association in Multiple Camera Views

mmclassification

OpenMMLab Image Classification Toolbox and Benchmark

mmhuman3d

OpenMMLab 3D Human Parametric Model Toolbox and Benchmark

nasa.pytorch

PyTorch implementation of "NASA: Neural Articulated Shape Approximation"

nerf-pytorch

A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.