32 Repositories
Python IOMMU-nested-pve Libraries
[CVPR2022] This repository contains code for the paper "Nested Collaborative Learning for Long-Tailed Visual Recognition", published at CVPR 2022
Nested Collaborative Learning for Long-Tailed Visual Recognition This repository is the official PyTorch implementation of the paper in CVPR 2022: Nes
Flow control is the order in which statements or blocks of code are executed at runtime based on a condition. Learn Conditional statements, Iterative statements, and Transfer statements
03_Python_Flow_Control Introduction ๐ The control flow statements are an essential part of the Python programming language. A control flow statement
Nested cross-validation is necessary to avoid biased model performance in embedded feature selection in high-dimensional data with tiny sample sizes
Pruner for nested cross-validation - Sphinx-Doc Nested cross-validation is necessary to avoid biased model performance in embedded feature selection i
Compute execution plan: A DAG representation of work that you want to get done. Individual nodes of the DAG could be simple python or shell tasks or complex deeply nested parallel branches or embedded DAGs themselves.
Hello from magnus Magnus provides four capabilities for data teams: Compute execution plan: A DAG representation of work that you want to get done. In
Tree Nested PyTorch Tensor Lib
DI-treetensor treetensor is a generalized tree-based tensor structure mainly developed by OpenDILab Contributors. Almost all the operation can be supp
Uproot - A script to bring deeply nested files or directories to the surface
UPROOT Bring deeply nested files or folders to the surface Uproot helps convert
Jenkins-AWS-CICD - Implement Jenkins CI/CD with AWS CodeBuild and AWS CodeDeploy, build a python flask web application.
Jenkins-AWS-CICD - Implement Jenkins CI/CD with AWS CodeBuild and AWS CodeDeploy, build a python flask web application.
Sqlalchemy seeder that supports nested relationships.
sqlalchemyseed Sqlalchemy seeder that supports nested relationships. Supported file types json yaml csv Installation Default installation pip install
Deep Difference and search of any Python object/data.
DeepDiff v 5.6.0 DeepDiff Overview DeepDiff: Deep Difference of dictionaries, iterables, strings and other objects. It will recursively look for all t
This is the official code for the paper "Learning with Nested Scene Modeling and Cooperative Architecture Search for Low-Light Vision"
RUAS This is the official code for the paper "Learning with Nested Scene Modeling and Cooperative Architecture Search for Low-Light Vision" A prelimin
Nested Named Entity Recognition for Chinese Biomedical Text
CBio-NAMER CBioNAMER (Nested nAMed Entity Recognition for Chinese Biomedical Text) is our method used in CBLUE (Chinese Biomedical Language Understand
A dictionary that can be flattened and re-inflated
deflatable-dict A dictionary that can be flattened and re-inflated. Particularly useful if you're interacting with yaml, for example. Installation wit
Nested Named Entity Recognition
Nested Named Entity Recognition Training Dataset: CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark url: https://tianchi.aliyun.
PVE with tcaledger app for payments and simulation of payment requests
tcaledger PVE with tcaledger app for payments and simulation of payment requests. The purpose of this API is to empower users to accept cryptocurrenci
How to configure IOMMU device for nested Proxmox hypervisor (PVE) VM - PCIe Passthrough
Configuring PCIe Passthrough for Nested Virtualization on Proxmox Summary: If you are running bare-metal L0 (level 0) Proxmox (PVE) hypervisor with ne
PyTorch implementation of UNet++ (Nested U-Net).
PyTorch implementation of UNet++ (Nested U-Net) This repository contains code for a image segmentation model based on UNet++: A Nested U-Net Architect
Simple subcommand CLIs with argparse
multicommand Simple subcommand CLIs with argparse. multicommand uses only the standard library and is ~150 lines of code (modulo comments and whitespa
Nested Graph Neural Network (NGNN) is a general framework to improve a base GNN's expressive power and performance
Nested Graph Neural Networks About Nested Graph Neural Network (NGNN) is a general framework to improve a base GNN's expressive power and performance.
Hierarchical probabilistic 3D U-Net, with attention mechanisms (โ๐๐ต๐ต๐ฆ๐ฏ๐ต๐ช๐ฐ๐ฏ ๐-๐๐ฆ๐ต, ๐๐๐๐ฆ๐ด๐๐ฆ๐ต) and a nested decoder structure with deep supervision (โ๐๐๐ฆ๐ต++).
Hierarchical probabilistic 3D U-Net, with attention mechanisms (โ๐๐ต๐ต๐ฆ๐ฏ๐ต๐ช๐ฐ๐ฏ ๐-๐๐ฆ๐ต, ๐๐๐๐ฆ๐ด๐๐ฆ๐ต) and a nested decoder structure with deep supervision (โ๐๐๐ฆ๐ต++). Built in TensorFlow 2.5. Configured for voxel-level clinically significant prostate cancer detection in multi-channel 3D bpMRI scans.
Given the names and grades for each student in a class N of students, store them in a nested list and print the name(s) of any student(s) having the second lowest grade.
Hackerank-Nested-List Given the names and grades for each student in a class N of students, store them in a nested list and print the name(s) of any s
a reimplementation of Holistically-Nested Edge Detection in PyTorch
pytorch-hed This is a personal reimplementation of Holistically-Nested Edge Detection [1] using PyTorch. Should you be making use of this work, please
Turn your API made with Django REST Framework(DRF) into a GraphQL like API.
Turn your API made with Django REST Framework(DRF) into a GraphQL like API.
Flask-SQLAlchemy implementation of nested/threaded comment replies.
Threaded comments using Common Table Expressions (CTE) for a MySQL Flask blog or CMS Credits to peterspython Also read more about the implementation h
A kAFL based hypervisor fuzzer which fully supports nested VMs
hAFL2 hAFL2 is a kAFL-based hypervisor fuzzer. It is the first open-source fuzzer which is able to target hypervisors natively (including Hyper-V), as
A PyTorch Implementation of the Luna: Linear Unified Nested Attention
Unofficial PyTorch implementation of Luna: Linear Unified Nested Attention The quadratic computational and memory complexities of the Transformerโs at
Code for Two-stage Identifier: "Locate and Label: A Two-stage Identifier for Nested Named Entity Recognition"
Code for Two-stage Identifier: "Locate and Label: A Two-stage Identifier for Nested Named Entity Recognition", accepted at ACL 2021. For details of the model and experiments, please see our paper.
Aggragrating Nested Transformer Official Jax Implementation
NesT is a simple method, which aggragrates nested local transformers on image blocks. The idea makes vision transformers attain better accuracy, data efficiency, and convergence on the ImageNet benchmark. NesT can be scaled to small datasets to match convnet accuracy.
U2-Net: Going Deeper with Nested U-Structure for Salient Object Detection
The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
Discord Bot that leverages the idea of nested containers using podman, runs untrusted user input, executes Quantum Circuits, allows users to refer to the Qiskit Documentation, and provides the ability to search questions on the Quantum Computing StackExchange.
Discord Bot that leverages the idea of nested containers using podman, runs untrusted user input, executes Quantum Circuits, allows users to refer to the Qiskit Documentation, and provides the ability to search questions on the Quantum Computing StackExchange.
A Python package for delineating nested surface depressions from digital elevation data.
Welcome to the lidar package lidar is Python package for delineating the nested hierarchy of surface depressions in digital elevation models (DEMs). I
A tools to find the path of a specific key in deep nested JSON.
ๅฆไฝๅฟซ้ไปๆทฑๅฑๅตๅฅ JSON ไธญๆพๅฐ็นๅฎ็ Key #ๅ ฌไผๅท ๅจ็ฌ่ซๅผๅ็่ฟ็จไธญ๏ผๆไปฌ็ปๅธธ้ๅฐไธไบ Ajax ๅ ่ฝฝ็ๆฅๅฃไผ่ฟๅ JSON ๆฐๆฎใ
A lightweight, object-oriented finite state machine implementation in Python with many extensions
transitions A lightweight, object-oriented state machine implementation in Python with many extensions. Compatible with Python 2.7+ and 3.0+. Installa