Python Biomedical-tasks Resources

Introduction The field of connectomics aims to reconstruct the wiring diagram of the brain by mapping the neural connections at the level of individua

A benchmark of data-centric tasks from across the machine learning lifecycle.

dm_robotics: Libraries, tools, and tasks created and used for Robotics research at DeepMind. Package overview Package Summary Transformations Rigid bo

nvdiffmodeling [origin_code] Differentiable rasterization applied to 3D model simplification tasks, as described in the paper: Appearance-Driven Autom

RobustBioNLP Improving the robustness and performance of biomedical NLP models through adversarial training In this repository you can find suppliment

Uniformer - Pytorch Implementation of Uniformer, a simple attention and 3d convolutional net that achieved SOTA in a number of video classification ta

Medical Image Segmentation with Guided Attention This repository contains the code of our paper: "'Multi-scale self-guided attention for medical image

PixelNet: Representation of the pixels, by the pixels, and for the pixels. We explore design principles for general pixel-level prediction problems, f

Deep Learning Tutorial for Kaggle Ultrasound Nerve Segmentation competition, using Keras This tutorial shows how to use Keras library to build deep ne

Luminous is a framework for testing the performance of Embodied AI (EAI) models in indoor tasks. Generally, we intergrete different kind of functional

Flexible-CLmser: Regularized Feedback Connections for Biomedical Image Segmentation The skip connections in U-Net pass features from the levels of enc

Exploiting a Zoo of Checkpoints for Unseen Tasks This repo includes code to reproduce all results in the above Neurips paper, authored by Jiaji Huang,

TestMakerProject A simple program which gets a file(CSV/Excel) with tasks and creates different variants The main program is QTengine.py You only have

Scripts-To-Automate-This A compilation of useful scripts for common tasks Name What it does Type Add file extensions Adds ".png" to a list of file nam

Utils to quickly evaluate many 🤗 models on the GLUE tasks

waltlabtools A collection of tools for biomedical research assay analysis in Python. Key Features Analysis for assays such as digital ELISA, including

Virtual-Artificial-Intelligence-genesis- I created My own Virtual Artificial Intelligence named genesis, He can assist with my Tasks and also perform

AutoTabular AutoTabular automates machine learning tasks enabling you to easily achieve strong predictive performance in your applications. With just

Kush's Utils Tool is my personal collection of scripts which is used to automated daily tasks. It is a evergrowing collection of scripts and will continue to evolve till the day I program. This is also my first python project.

stsb_multi_mt_en STS Benchmark comprises a selection of the English datasets used in the STS tasks organized in the context of SemEval between 2012 an

MindCraft Authors: Cristian-Paul Bara*, Sky CH-Wang*, Joyce Chai This is the official code repository for the paper (arXiv link): Cristian-Paul Bara,

Ansible Playbook Grapher ansible-playbook-grapher is a command line tool to create a graph representing your Ansible playbook plays, tasks and roles.

Pytorch Classification A general, feasible and extensible framework for 2D image classification. Features Easy to configure (model, hyperparameters) T

BMVC 2021 BI-GConv: Boundary-Aware Input-Dependent Graph Convolution for Biomedical Image Segmentation Necassary Dependencies: PyTorch 1.2.0 Python 3.

Status: Archive (code is provided as-is, no updates expected) Grade School Math [Blog Post] [Paper] State-of-the-art language models can match human p

MedMNIST Project (Website) | Dataset (Zenodo) | Paper (arXiv) | MedMNIST v1 (ISBI'21) Jiancheng Yang, Rui Shi, Donglai Wei, Zequan Liu, Lin Zhao, Bili

AI_Personal_Voice_Assistant_Using_Python A project to build an AI voice assistant using Python . The Voice assistant interacts with the humans to perf

Driver Buddy Reloaded Quickstart Table of Contents Installation Usage About Driver Buddy Reloaded Finding DispatchDeviceControl Labelling WDM & WDF St

typed CLI tool for typescript tasks & migrations Installation Usage $ typed --list Subcommands: bootstrap 🔨 Bootstrap your environment for TypeS

Jarvis 🤖 🤖 Jarvis is an virtual assistant which can some tasks easy for you like surfing on web opening an app and much more... 🤖 🤖 Developer : su

Assessing the Influence of Models on the Performance of Reinforcement Learning Algorithms applied on Continuous Control Tasks This is the master thesi

SSKT(Accepted WACV2022) Concept map Dataset Image dataset CIFAR10 (torchvision) CIFAR100 (torchvision) STL10 (torchvision) Pascal VOC (torchvision) Im

AMAZ3DSim AMAZ3DSim is a lightweight python-based 3D network multi-agent simulator. It uses a cell-based congestion model. It calculates risk, battery

MotionEye/MotionEyeOS Authenticated RCE A Python 3 script that uploads a tasks.pickle file that enables RCE in MotionEye. You need administrator crede

Integrating 🔗 Celery with Django via Redis server ,To-Do asynchronously 👀task without stopping the main-flow 📃 of Django-project . It increase your speed 🚀 and user experience 🤵 of website

Finetuner allows one to tune the weights of any deep neural network for better embeddings on search tasks

简体中文 | English News [2021-10-12] PaddleNLP 2.1版本已发布！新增开箱即用的NLP任务能力、Prompt Tuning应用示例与生成任务的高性能推理！ 🎉 更多详细升级信息请查看Release Note。 [2021-08-22]《千言：面向事实一致性的生

Uncertainty Baselines The goal of Uncertainty Baselines is to provide a template for researchers to build on. The baselines can be a starting point fo

TestRank in Pytorch Code for the paper TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks by Yu Li, Min Li, Qiuxia Lai, Ya

Kimimaro: Skeletonize Densely Labeled Images # Produce SWC files from volumetric images. kimimaro forge labels.npy --progress # writes to ./kimimaro_o

P-tuning v2 P-Tuning v2: Prompt Tuning Can Be Comparable to Finetuning Universally Across Scales and Tasks An optimized prompt tuning strategy for sma

Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles This project is for the paper: Detecting Errors and Estimating

MMSceneGraph Introduction MMSceneneGraph is an open source code hub for scene graph generation as well as supporting downstream tasks based on the sce

TEACh is a dataset of human-human interactive dialogues to complete tasks in a simulated household environment.

PyAutoEasy PyAutoEasy is a extension / wrapper around the famous PyAutoGUI, a cross-platform GUI automation tool to replace your boooring repetitive t

TEACh Task-driven Embodied Agents that Chat Aishwarya Padmakumar*, Jesse Thomason*, Ayush Shrivastava, Patrick Lange, Anjali Narayan-Chen, Spandana Ge

SinGlow is a part of my Singing voice synthesis system. It can extract features of sound, particularly songs and musics. Then we can use these features (or perfect encoding) for feature migrating tasks. For example migrate features of real singers' song to those virtual singers' songs.

ansible-trace Visualise where time is spent in your Ansible playbooks: what tasks, and what hosts, so you can find where to optimise and decrease play

Task Manager Automation Tool (TMAT) CLI Command Line (CLI) Application to automate creation of tasks in Redmine, issues on Github and the sync process

General Purpose Scripts Introduction This repository holds a curated list of Python scripts which aim to help us automate daily and common tasks. You

Prompt-learning is the latest paradigm to adapt pre-trained language models (PLMs) to downstream NLP tasks, which modifies the input text with a textual template and directly uses PLMs to conduct pre-trained tasks. This library provides a standard, flexible and extensible framework to deploy the prompt-learning pipeline. OpenPrompt supports loading PLMs directly from huggingface transformers. In the future, we will also support PLMs implemented by other libraries.

AutoTabular automates machine learning tasks enabling you to easily achieve strong predictive performance in your applications. With just a few lines of code, you can train and deploy high-accuracy machine learning and deep learning models tabular data.

docTR by Mindee (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.

This tool was created in order to automate some basic OSINT tasks for penetration testing assingments. The main feature that I haven't seen much anywhere is the downloadd google dork function where this function first perform basic google dorking to find the targets public documents. These documents will then be downloaded to the attackers computer and can be used further to identify metadata about the client.

CompilerGym is a library of easy to use and performant reinforcement learning environments for compiler tasks

BioLAMA BioLAMA is biomedical factual knowledge triples for probing biomedical LMs. The triples are collected and pre-processed from three sources: CT

This tool lets you convert strings and numbers between number bases (2, 8, 10 and 16) as well as ASCII text. You can use the IP address analyzer to find out details on IPv4 and perform abbreviation as well as expansion on IPv6 addresses.It can also perform a two's complement calculation as well.

Clock This app helps you with routine tasks. Alarm Clock Timer Stop Watch World Time (Which city you want) About me Full name: Matin Ardestani Age: 14

Human benchmark fooler Summary A set of Python scripts with Selenium designed to surpass human limits in accomplishing simple tasks available on https

MVGCN MVGCN: a novel multi-view graph convolutional network (MVGCN) framework for link prediction in biomedical bipartite networks. Developer: Fu Hait

Pre-trained (foundation) models across tasks (understanding, generation and translation), languages (100+ languages), and modalities (language, image, audio, vision + language, audio + language, etc.)

pysentimiento: A Python toolkit for Sentiment Analysis and Social NLP tasks A Transformer-based library for SocialNLP classification tasks. Currently

nmigen-tool command line tool for frequent nmigen tasks (generate sources, show design) Usage: generate verilog: nmigen generate verilog nmigen_librar

A Python multilingual toolkit for Sentiment Analysis and Social NLP tasks

Pytorch-NLU，一个中文文本分类、序列标注工具包，支持中文长文本、短文本的多类、多标签分类任务，支持中文命名实体识别、词性标注、分词等序列标注任务。 Ptorch NLU, a Chinese text classification and sequence annotation toolkit, supports multi class and multi label classification tasks of Chinese long text and short text, and supports sequence annotation tasks such as Chinese named entity recognition, part of speech tagging and word segmentation.

Multimodal Deep Learning 🎆 🎆 🎆 Announcing the multimodal deep learning repository that contains implementation of various deep learning-based model

Libraries, tools and tasks created and used at DeepMind Robotics.

This project is a collection of the open source pytorch code for knowledge distillation, especially for the perception tasks, including semantic segmentation, depth estimation, object detection and instance segmentation.

OpenStickFirmware is open source software designed to handle any and all tasks required in a custom Fight Stick. It can handle being the brains of your entire stick, or just handling the bells and whistles while your Brook board talks to your console.

py_extract Py_extract is a simple, light-weight python library to handle some extraction tasks using less lines of code. Still in Development Stage! I

Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data arXiv This is the code base for weakly supervised NER. We provide a

News The code of MCTrans has been released. if you are interested in contributing to the standardization of the medical image analysis community, plea

ALFRED A Benchmark for Interpreting Grounded Instructions for Everyday Tasks Mohit Shridhar, Jesse Thomason, Daniel Gordon, Yonatan Bisk, Winson Han,

🔄 🌐 Handle thousands of HTTP requests, disk writes, and other I/O-bound tasks simultaneously with Python's quintessential async libraries.

Cloud Transformers: A Universal Approach To Point Cloud Processing Tasks This is an official PyTorch code repository of the paper "Cloud Transformers:

背景 安装教程 快速上手 （一）预训练模型 （二）机器翻译 （三）文本分类 TenTrans 进阶 1. 多语言机器翻译 2. 跨语言预训练 背景 TrenTrans是一个统一的端到端的多语言多任务预训练平台，支持多种预训练方式，以及序列生成和自然语言理解任务。 安装教程 git clone git

PackNet: https://arxiv.org/abs/1711.05769 Pretrained models are available here: https://uofi.box.com/s/zap2p03tnst9dfisad4u0sfupc0y1fxt Datasets in Py

The revolutionary IDE for all NLP (Natural language processing) stuffs on the internet.

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

Piggyback: https://arxiv.org/abs/1801.06519 Pretrained masks and backbones are available here: https://uofi.box.com/s/c5kixsvtrghu9yj51yb1oe853ltdfz4q

CLIP-ViL In our paper "How Much Can CLIP Benefit Vision-and-Language Tasks?", we show the improvement of CLIP features over the traditional resnet fea

Adaptive Segmentation Mask Attack This repository contains the implementation of the Adaptive Segmentation Mask Attack (ASMA), a targeted adversarial

REval Table of Contents Introduction Overview Requirements Installation Probing Usage Citation License 🎓 Introduction REval is a simple framework for

gym-anm is a framework for designing reinforcement learning (RL) environments that model Active Network Management (ANM) tasks in electricity distribution networks. It is built on top of the OpenAI Gym toolkit.

KGI (Knowledge Graph Induction) for slot filling This is the code for our KILT leaderboard submission to the T-REx and zsRE tasks. It includes code fo

U Net Lowered with Keras Complete U-net Implementation with keras Original Paper Link : https://arxiv.org/abs/1505.04597 Special Implementations : The

python-asynchronous-tasks Setup & Installation Create a virtual environment and install the dependencies: $ python -m venv venv $ source env/bin/activ

LMs for biomedical KG completion This repository contains code to run the experiments described in: Scientific Language Models for Biomedical Knowledg

Markup is an online annotation tool that can be used to transform unstructured documents into structured formats for NLP and ML tasks, such as named-entity recognition. Markup learns as you annotate in order to predict and suggest complex annotations. Markup also provides integrated access to existing and custom ontologies, enabling the prediction and suggestion of ontology mappings based on the text you're annotating.

We envision models that are pre-trained on a vast range of domain-relevant tasks to become key for molecule property prediction. This repository aims to give easy access to state-of-the-art pre-trained models.

Notion-to-Google-Calendar (1 way) Import Notion Tasks to Google Calendar NO MORE UPDATES WILL BE MADE TO THIS REPO. Attention has been put on a 2-way

PersonalAssistant It is an Personal Assistant, capable to perform many tasks with some unique features, that you haven'e seen yet.... Features / Tasks

English | 中文说明 CBLUE AI (Artificial Intelligence) is playing an indispensabe role in the biomedical field, helping improve medical technology. For fur

SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summarization This is the code for our paper ``SumGNN: Multi-typed Drug

U2Fusion Code of U2Fusion: a unified unsupervised image fusion network for multiple image fusion tasks, including multi-modal (VIS-IR, medical), multi

A curated list of awesome resources related to Semantic Search🔎 and Semantic Similarity tasks.

YOLOR implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks To reproduce the results in the paper, please us

Version: 5.1.0b1 (singularity) Web: https://docs.celeryproject.org/en/stable/index.html Download: https://pypi.org/project/celery/ Source: https://git

Spatially-Correlative Loss arXiv | website We provide the Pytorch implementation of "The Spatially-Correlative Loss for Various Image Translation Task

MultiResUNet Rethinking the U-Net architecture for multimodal biomedical image segmentation This repository contains the original implementation of "M