Phygitalism (phygitalism)

Phygitalism

phygitalism

Geek Repo

COMPANY-DEVELOPER OF VISUAL SOLUTIONS BASED ON ARTIFICIAL INTELLIGENCE, AUGMENTED AND VIRTUAL REALITY

Location:United States of America

Home Page:https://phygitalism.com

Twitter:@phygitalism

Github PK Tool:Github PK Tool

Phygitalism's repositories

cgal-plane-detector

Plane detection with CGAL region growing algorithm

Language:C++License:MITStargazers:20Issues:5Issues:0

azure-kinect-pcl

Point cloud segmentation with Azure Kinect

Language:C++License:MITStargazers:12Issues:4Issues:0

RCVS

blender

Language:PythonLicense:GPL-3.0Stargazers:3Issues:3Issues:0

3DDFA_V2

The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.

Language:PythonLicense:MITStargazers:1Issues:1Issues:0

libpointmatcher

An "Iterative Closest Point" library for 2-D/3-D mapping in Robotics

Language:C++License:BSD-3-ClauseStargazers:1Issues:1Issues:0

mai-unity-sandbox

Sandbox within Unity course, MAI master degree program

Language:C#Stargazers:1Issues:2Issues:0

probreg

Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg, Bayesian CPD)

Language:PythonLicense:MITStargazers:1Issues:1Issues:0

taming-transformers

Taming Transformers for High-Resolution Image Synthesis

Language:Jupyter NotebookLicense:MITStargazers:1Issues:1Issues:0

test-task-backend

Тестовое задание для backend разработчика

nest-js-boilerplate

Fork NestJS framework NestJS boilerplate for back-end applications

Language:TypeScriptStargazers:0Issues:3Issues:0

test-tasks-3dml

Тестовое задание по 3D ML

Language:Jupyter NotebookStargazers:0Issues:5Issues:0

BasicSR

Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, etc. Also support StyleGAN2, DFDNet.

Language:PythonStargazers:0Issues:1Issues:0

CLIP-ONNX

It is a simple library to speed up CLIP inference up to 3x (K80 GPU)

License:MITStargazers:0Issues:0Issues:0

CodeFormer

[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer

Language:PythonLicense:NOASSERTIONStargazers:0Issues:1Issues:0

custom-cudagl

An action to build custom CUDA + OpenGL images based on https://gitlab.com/nvidia/container-images/cudagl

Language:ShellStargazers:0Issues:2Issues:0

DeepFaceLab

DeepFaceLab is the leading software for creating deepfakes.

Language:PythonLicense:GPL-3.0Stargazers:0Issues:1Issues:0

geometry-free-view-synthesis

Is a geometric model required to synthesize novel views from a single image?

Language:PythonLicense:MITStargazers:0Issues:1Issues:0

ICON

ICON: Implicit Clothed humans Obtained from Normals

Language:PythonLicense:NOASSERTIONStargazers:0Issues:0Issues:0

IF_TUI

Проект для распознавания Tangible маркеров с помощью точек соприкосновенния

Language:C#Stargazers:0Issues:3Issues:0

image-background-remove-tool

✂️ Automated high-quality background removal framework for an image using neural networks. ✂️

Language:PythonLicense:Apache-2.0Stargazers:0Issues:0Issues:0

lang-segment-anything

SAM with text prompt

Language:PythonStargazers:0Issues:0Issues:0

latent-pose-reenactment

The authors' implementation of the "Neural Head Reenactment with Latent Pose Descriptors" (CVPR 2020) paper.

Language:PythonLicense:Apache-2.0Stargazers:0Issues:1Issues:0

Meta-PU

Meta-PU: An Arbitrary-Scale Upsampling Network for Point Cloud

Language:PythonStargazers:0Issues:1Issues:0

peft

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

Language:PythonLicense:Apache-2.0Stargazers:0Issues:0Issues:0

points2surf

Learning Implicit Surfaces from Point Clouds (ECCV 2020)

Language:PythonLicense:MITStargazers:0Issues:1Issues:0

PTI

Official Implementation for "Pivotal Tuning for Latent-based editing of Real Images" https://arxiv.org/abs/2106.05744

Language:PythonLicense:MITStargazers:0Issues:1Issues:0

python-code-style

Links of our code style

Language:PythonStargazers:0Issues:3Issues:0

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:0Issues:0Issues:0

test-task-point-cloud-analysis

Тестовое задание на анализ облака точек

Stargazers:0Issues:3Issues:0

xformers-build

GitHub action to compile xFormers library for different GPUs

Stargazers:0Issues:3Issues:0