iris
Open Source Photos Platform Powered by PyTorch
About
Services
Infrastructure Services:
Roadmap & Issues
You can find the roadmap for this project here. Issues are managed via GitHub Issues here.
in brouser:
graphql:1 Failed to load resource: the server responded with a status of 404 (Not Found)
in console:
frontend | 2021/11/05 09:51:37 [error] 36#36: *11 open() "/usr/share/nginx/html/graphql" failed (2: No such file or directory), client: 172.21.0.1, server: localhost, request: "POST /graphql HTTP/1.1", host: "localhost:5000", referrer: "http://localhost:5000/explore"
WAIDW?
frontendlat, long in /explore/place entities listborder-radius: 50% and for rest its border-radius: 4 or 8px@rmwc/theme<ThemeProvider /> by @rmwc and set colors via that as propsSEE ALL button on top/explore/people/explore/places/explore/thingsmake lint checkmake generate checkmake build checknpm run build checknpm run lint checknpm test checkPeople, Places, Thingsqueue and should be used for invoking those respective componentsDocker Images should be built using 2 step process to reduce the image size:
Docker Images will be named as follows:
prabhuomkar/iris-frontend:<tag>prabhuomkar/iris-graphql:<tag>prabhuomkar/iris-worker:<tag>prabhuomkar/iris-ml:<tag>Full Changelog: https://github.com/prabhuomkar/iris/compare/v2021.11.01...v2021.12.31
Source code(tar.gz)Full Changelog: https://github.com/prabhuomkar/iris/commits/v2021.11.01
Source code(tar.gz)CameraStream This is a demonstration that streams the image from smartglasses to a pc, does the hand recognition on the remote pc and streams the proc
TLDR (Twin Learning for Dimensionality Reduction) is an unsupervised dimensionality reduction method that combines neighborhood embedding learning with the simplicity and effectiveness of recent self
Physics-aware Difference Graph Networks for Sparsely-Observed Dynamics This repository is the official PyTorch implementation of "Physics-aware Differ
Hi, it's Muhaimin again 👋 This is something unorthodox but cool. Don't forget t
scalableMARL Scalable Reinforcement Learning Policies for Multi-Agent Control CD. Hsu, H. Jeong, GJ. Pappas, P. Chaudhari. "Scalable Reinforcement Lea
Lucas coded by linux shell 목차 Mac버전 CookieCutter (autoenv) 1.How to Install autoenv 2.폴더 진입 시, activate 구현하기 3.폴더 탈출 시, deactivate 구현하기 4.Alias 설정하기 5
Pyramid Pooling Transformer for Scene Understanding Requirements: torch 1.6+ torchvision 0.7.0 timm==0.3.2 Validated on torch 1.6.0, torchvision 0.7.0
Hierarchical Attention Mining (HAM) for weakly-supervised abnormality localization This is the official PyTorch implementation for the HAM method. Pap
What is being transferred in transfer learning? This repo contains the code for the following paper: Behnam Neyshabur*, Hanie Sedghi*, Chiyuan Zhang*.
TensorFlow Examples This tutorial was designed for easily diving into TensorFlow, through examples. For readability, it includes both notebooks and so
ViSER: Video-Specific Surface Embeddings for Articulated 3D Shape Reconstruction. NeurIPS 2021.
ISC21-Descriptor-Track-1st The 1st Place Solution of the Facebook AI Image Similarity Challenge (ISC21) : Descriptor Track. You can check our solution
Use this instead: https://github.com/facebookresearch/maskrcnn-benchmark A Pytorch Implementation of Detectron Example output of e2e_mask_rcnn-R-101-F
Crafting Better Contrastive Views for Siamese Representation Learning This is the official PyTorch implementation of the ContrastiveCrop paper: @artic
在嵌入式设备上实现YOLO V4 tiny 在嵌入式设备上实现YOLO V4 tiny 目录结构 目录结构 |-- YOLO V4 tiny |-- .gitignore |-- LICENSE |-- README.md |-- test.txt |-- t
anime upscaler My usage of Real-ESRGAN to upscale anime, I hope to use this on a proper GPU cuz doing this on CPU is completely shit 😂 , I even tried
Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System Authors: Yixuan Su, Lei Shu, Elman Mansimov, Arshit Gupta, Deng Cai, Yi-An Lai
GAN-image-detection This repository contains a GAN-generated image detector developed to distinguish real images from synthetic ones. The detector is
Data-Efficient GANs with DiffAugment project | paper | datasets | video | slides Generated using only 100 images of Obama, grumpy cats, pandas, the Br
DiSECt: Differentiable Simulator for Robotic Cutting Website | Paper | Dataset | Video | Blog post DiSECt is a simulator for the cutting of deformable