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)Nueral Style Transfer Pytorch implementation of Nueral style transfer algorithm , it is used to apply artistic styles to content images . Content is t
ddz-ai 介绍 斗地主是一种扑克游戏。游戏最少由3个玩家进行,用一副54张牌(连鬼牌),其中一方为地主,其余两家为另一方,双方对战,先出完牌的一方获胜。 ddz-ai以孤立语假设和宽度优先搜索为基础,构建了一种多通道堆叠注意力Transformer结构的系统,使其经过大量训练后,能在实际游戏中获
Install first pip3 install -e . Training python3 training/unsupervised_tuning.py python3 training/supervised_tuning.py python3 training/multilingual_
darknet格式数据→COCO darknet训练数据目录结构(详情参见dataset/darknet): darknet ├── class.names ├── gen_config.data ├── gen_train.txt ├── gen_valid.txt └── images
Tilted Empirical Risk Minimization This repository contains the implementation for the paper Tilted Empirical Risk Minimization ICLR 2021 Empirical ri
How to run download required files make build_image make download Docker versio
Merlion: A Machine Learning Library for Time Series Table of Contents Introduction Installation Documentation Getting Started Anomaly Detection Foreca
Bayesian Image Reconstruction using Deep Generative Models R. Marinescu, D. Moyer, P. Golland For technical inquiries, please create a Github issue. F
DeformSyncNet: Deformation Transfer via Synchronized Shape Deformation Spaces Minhyuk Sung*, Zhenyu Jiang*, Panos Achlioptas, Niloy J. Mitra, Leonidas
A Simple Neural Network from scratch A Simple Neural Network from scratch in Pyt
pytorch-hed This is a personal reimplementation of Holistically-Nested Edge Detection [1] using PyTorch. Should you be making use of this work, please
Framework of GAN Inversion Introcuction You can implement your own inversion idea using our repo. We offer a full range of tuning settings (in hparams
Seq2seq Sequence to Sequence Learning with Keras Hi! You have just found Seq2Seq. Seq2Seq is a sequence to sequence learning add-on for the python dee
StarGAN v2 - Official PyTorch Implementation StarGAN v2: Diverse Image Synthesis for Multiple Domains Yunjey Choi*, Youngjung Uh*, Jaejun Yoo*, Jung-W
piSTAR Lab WARNING: This is an early release. Overview piSTAR Lab is a modular deep reinforcement learning platform built to make AI experimentation a
Dataloader for CIFAR-N CIFAR-10N noise_label = torch.load('./data/CIFAR-10_human.pt') clean_label = noise_label['clean_label'] worst_label = noise_lab
Multi-Car Racing Gym Environment This repository contains MultiCarRacing-v0 a multiplayer variant of Gym's original CarRacing-v0 environment. This env
StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery (ICCV 2021 Oral) Run this model on Replicate Optimization: Global directions: Mapper: Check ou
Causal Influence Detection for Improving Efficiency in Reinforcement Learning This repository contains the code release for the paper "Causal Influenc
pytorch-generative-model-collections Original : [Tensorflow version] Pytorch implementation of various GANs. This repository was re-implemented with r