Python Auto-label-pipeline Resources

Microsoft Azure provides a wide number of services for managing and storing data. One product is Microsoft Azure SQL. Which gives us the capability to create and manage instances of SQL Servers hosted in the cloud. This project, demonstrates how to use these services to manage data we collect from different sources.

Bloons TD Battles 2 EXP Grinder Auto grind btdb2 exp for towers Setup I suggest checking out every screenshot to see what they are supposed to be, so

3Commas Cyber Bot Helpers A collection of 3Commas bot helpers I wrote. (collection will grow over time) Disclaimer THE SOFTWARE IS PROVIDED "AS IS", W

Lexiscore As a first effort in tackling the theme of information overload in content consumption, I've been working on the lexiscore: a nutritional la

Auto Liker, Auto Reaction, Auto Comment, Auto Follower Tool. RajeLiker Credit Hacker. Unlimited RajeLiker Credit Hack. Thanks To RajeLiker.

Overview The sarge package provides a wrapper for subprocess which provides command pipeline functionality. This package leverages subprocess to provi

Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss Kaidi Cao, Colin Wei, Adrien Gaidon, Nikos Arechiga, Tengyu Ma This is the offi

Disentangling Label Distribution for Long-tailed Visual Recognition (CVPR 2021) Arxiv link Blog post This codebase is built on Causal Norm. Install co

Label Hallucination for Few-Shot Classification This repo covers the implementation of the following paper: Label Hallucination for Few-Shot Classific

localshop A PyPI server which automatically proxies and mirrors PyPI packages based upon packages requested. It has support for multiple indexes and t

MapReader A computer vision pipeline for the semantic exploration of maps at scale MapReader is an end-to-end computer vision (CV) pipeline designed b

Zillow-Houses This repository contains full machine learning pipeline of the Zillow Houses competition on Kaggle platform. Pipeline is consists of 10

Label-Efficient Semantic Segmentation with Diffusion Models Official implementation of the paper Label-Efficient Semantic Segmentation with Diffusion

Self-adjusting, auto-compounding multi-pair DCA crypto trading bot using Python, AWS Lambda & 3Commas API The following code describes how we can leve

Features Bait support Auto repair will repair every 10 catches Anti detection (still a work in progress) but using random times and click positions Pr

Introduction A auto clock-in script based on python3 for BJUTer. It could clock in at 9:00 a.m everyday. The script is inspired by tsosunchia What can

Overview dataflow-mvp provides a basic example pipeline that pulls data from an API and writes it to a BigQuery table using GCP's Dataflow (i.e., Apac

SAMANTHA_BOT Very Sempil Bot Auto Filter bot ##[ # 𝐂𝐋𝐈𝐂𝐊 𝐁𝐄𝐋𝐎𝐖 𝐈𝐌𝐀𝐆𝐄 𝐓𝐎 𝐃𝐄𝐏𝐋𝐎𝐘 👇 👇 👇 Auto Filter Manuel Filter IMDB Admin Co

Transfer Learning for Text Classification with Tensorflow Tensorflow implementation of Semi-supervised Sequence Learning(https://arxiv.org/abs/1511.01

Latent Semantic Analysis Pipeline for training LSA models using Scikit-Learn. Usage Instead of writing custom code for latent semantic analysis, you j

$ FIVE - FIVE is a Pentesting Framework to Test the Security & Integrity of a Website, or Multiple Websites. $ Info FIVE Was Made After Vulnnr to Prod

Label-Free Model Evaluation with Semi-Structured Dataset Representations Prerequisites This code uses the following libraries Python 3.7 NumPy PyTorch

Relative Uncertainty Learning for Facial Expression Recognition The official implementation of the following paper at NeurIPS2021: Title: Relative Unc

Telegram Movie Bot Features Auto Filter Manuel Filter IMDB Admin Commands Broadcast Index IMDB search Inline Search Random pics ids and User info Stat

General informations Software repository Latest release Total downloads Pypi Code health Branch Tests Coverage Links Documentation Deployment Activity

Auto-ropper is a tool that aims to automate the exploitation of ROP. Its goal is to become a tool that no longer requires user interaction.

Overview This is the official repo for the paper: NÜWA: Visual Synthesis Pre-training for Neural visUal World creAtion. NÜWA is a unified multimodal p

Website • Docs • Twitter • Join Slack Community What is Label Studio? Label Studio is an open source data labeling tool. It lets you label data types

Label-Free Model Evaluation with Semi-Structured Dataset Representations Prerequisites This code uses the following libraries Python 3.7 NumPy PyTorch

ClearML - Auto-Magical Suite of tools to streamline your ML workflow Experiment Manager, MLOps and Data-Management ClearML Formerly known as Allegro T

MapReader A computer vision pipeline for the semantic exploration of maps at scale MapReader is an end-to-end computer vision (CV) pipeline designed b

Auto-DrAC: Automatic Data-Regularized Actor-Critic This is a PyTorch implementation of the methods proposed in Automatic Data Augmentation for General

NAC Official PyTorch implementation of NAC from the paper: Neural Auto-Curricula in Two-Player Zero-Sum Games. We release code for: Gradient based ora

powerapps-docstring PowerApps-docstring is a console based, pipeline ready application that automatically generates user and technical documentation f

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Discord Auto bumper made in python, just a simple auto bumper that I made.

Double Cube Engravings This script creates a dataset for multi-label mesh clasification, with an intentionally difficult setup for point cloud classif

Python-微信 自动回复 练手~ 一直想做个给微信发个消息，就可以跑Python程序，并将结果发送给我的东西，之前看了 B站@不高兴就喝水 的视频，终于有了灵感~ 使用的是模拟点击方案，请求期间是不能操作了。 库 pyautogui 用于模拟鼠标键盘操作和定位操作位置 pyperclip 剪贴板

GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Model This repository is the official PyTorch implementation of GraphRNN, a graph gene

Auto-update-files-for-TV-advertisements-in-the-store This code can help you with auto update for-TV-advertisements in the store. It was write for Rasp

APIlocal_dbAWS_RDS Disclaimer! All data used is for educational purposes only. ETL pipeline diagram. Aim of project By creating a fully working pipe

Repository for the paper "Graph Auto-Encoders for Financial Clustering" Requirements Python 3.6 torch torch_geometric Instructions This is a simple c

Auto-Discord-Bump Program that automates the bump of the Disboard Bot done 100% in python with PyAutoGUI How to configue You will need 3 things before

Danganronpa Killing Game Archiving Bot An attempt to make a bot that can auto-archive Danganronpa KG RPs on Discord. The final format is meant to look

BlenderProc2 A procedural Blender pipeline for photorealistic rendering. Documentation | Tutorials | Examples | ArXiv paper | Workshop paper Features

Online Pseudo Label Generation by Hierarchical Cluster Dynamics for Adaptive Person Re-identification

BinTuner is a cost-efficient auto-tuning framework, which can deliver a near-optimal binary code that reveals much more differences than -Ox settings. it also can assist the binary code analysis research in generating more diversified datasets for training and testing. The BinTuner framework is based on OpenTuner, thanks to all contributors for their contributions.

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment.

osu-lazer-rulesets-autoupdater A python script for osu!lazer rulesets auto update. How to use: 如何使用： You can refer to the python script. The begining

Pipeline for creating NB422-detected (ODI) catalog The repository contains a Docker-based pipeline for preprocessing observational data. The pipeline

HapDup (haplotype duplicator) is a pipeline to convert a haploid long read assembly into a dual diploid assembly. The reconstructed haplotypes

Credit Simple python program to auto credit your code, text, book, whatever! Setup First change credit_text to whatever text you would like to credit

Telegram Movie Bot Features Auto Filter Manuel Filter IMDB Admin Commands Broadcast Index IMDB search Inline Search Random pics ids and User info Stat

Scikit-Pipes Scikit-Learn useful pre-defined Pipelines Hub Usage: Install scikit-pipes It's advised to install sklearn-genetic using a virtual env, in

papermill is a tool for parameterizing, executing, and analyzing Jupyter Notebooks. Papermill lets you: parameterize notebooks execute notebooks This

"Dataflow variables are spectacularly expressive in concurrent programming" Henri E. Bal , Jennifer G. Steiner , Andrew S. Tanenbaum Quick overview Ne

AutoML for Image Semantic Segmentation Currently this repo contains the only working open-source implementation of Auto-Deeplab which, by the way out-

KML: A Machine Learning Framework for Operating Systems & Storage Systems Storage systems and their OS components are designed to accommodate a wide v

Low rank solvers #################################### benchmark/ : folder with the random instances used in the paper. ############################

Overview This is the official repo for the paper: "NÜWA: Visual Synthesis Pre-training for Neural visUal World creAtion". NÜWA is a unified multimodal

spacy-experimental: Cutting-edge experimental spaCy components and features This package includes experimental components and features for spaCy v3.x,

Auto locust load test config and worker distribution with Docker and GitHub Action Install Fork the repo and change the visibility option to private S

DAE-AQA It is an open source program reference to paper Auto-Encoding Score Distribution Regression for Action Quality Assessment. 1.Introduction DAE

MCML is a toolkit for semi-supervised dimensionality reduction and quantitative analysis of Multi-Class, Multi-Label data. We demonstrate its use

Crypto Stats and Tweets Data Pipeline using Airflow Introduction Project Overview This project was brought upon through Udacity's nanodegree program.

Saiency Map-aided GAN for RAW2RGB Mapping The PyTorch implementations and guideline for Saiency Map-aided GAN for RAW2RGB Mapping. 1 Implementations B

Datashader is a data rasterization pipeline for automating the process of creating meaningful representations of large amounts of data.

Project looking into use of autoencoder for semi-supervised learning and comparing data requirements compared to supervised learning.

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ClearML - Auto-Magical Suite of tools to streamline your ML workflow Experiment Manager, MLOps and Data-Management ClearML Formerly known as Allegro T

Factorisation-based Image Labelling Overview This is a scheme for training and applying the factorisation-based image labelling (FIL) framework. Some

BookNLP BookNLP is a natural language processing pipeline that scales to books and other long documents (in English), including: Part-of-speech taggin

Predicting Yelp Review Quality Table of Contents Introduction Motivation Goal and Central Questions The Data Data Storage and ETL EDA Data Pipeline Da

Trading Tesla with Machine Learning and Sentiment Analysis An interactive program to train a Random Forest Classifier to predict Tesla daily prices us

STANFORD CARS DATASET stanford-cars "The Cars dataset contains 16,185 images of 196 classes of cars. The data is split into 8,144 training images and

Create postgres tables from CSV files This first section is only relate to creating tables from CSV files using postgres container alone. Just one of

This project contains the process from building a web crawler to extract the raw data of house price to create ETL pipelines using Google Could Platform services.

Automated Machine Learning Pipeline for tabular data. Designed for predictive maintenance applications, failure identification, failure prediction, condition monitoring, etc.

A simple python application for running a CI pipeline locally This app currently supports GitLab CI scripts

Bagel Text Bot Auto text bot. Written in Python. Contributing Pull requests are welcome. For major changes, please open an issue first to discuss what

hierarchical-multi-label-text-classification-pytorch Hierarchical Multi-label Text Classification: An Attention-based Recurrent Network Approach This

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Two phase pipeline + Streamlit This is an example project that demonstrates how to create a pipeline that consists of two phases of execution. In betw

alpha-GAN Unofficial pytorch implementation of Rosca, Mihaela, et al. "Variational Approaches for Auto-Encoding Generative Adversarial Networks." arXi

Fully Convolutional Refined Auto-Encoding Generative Adversarial Networks for 3D Multi Object Scenes This repository contains the source code for Full

FEATURE ENGINEERING Business Problem: A data preprocessing and feature engineering script for a machine learning pipeline needs to be prepared. It is

Feature-Engineering Required for a machine learning pipeline data preprocessing and variable engineering script needs to be prepared. When the dataset

🏃 Simple Local CI Runner 🏃 A simple python application for running a CI pipeline locally This app currently supports GitLab CI scripts ⚙️ Setup Inst

Some tentative models that incorporate label propagation to graph neural networks for graph representation learning in nodes, links or graphs.

Finding Label and Model Errors in Perception Data With Learned Observation Assertions This is the project page for Finding Label and Model Errors in P

pmdarima Pmdarima (originally pyramid-arima, for the anagram of 'py' + 'arima') is a statistical library designed to fill the void in Python's time se

pmdarima Pmdarima (originally pyramid-arima, for the anagram of 'py' + 'arima') is a statistical library designed to fill the void in Python's time se

pm-prophet Pymc3-based universal time series prediction and decomposition library (inspired by Facebook Prophet). However, while Faceook prophet is a

Welcome to Official repository of deepflash2 - a deep-learning pipeline for segmentation of ambiguous microscopic images. Quick Start in 30 seconds se

DeepXML Code for DeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short Text Documents Architectures and algorithms DeepXML supports

Introduction This repository includes the source code for "Finding Optimal Tangent Points for Reducing Distortions of Hard-label Attacks", which is pu

Identifies the faulty wafer before it can be used for the fabrication of integrated circuits and, in photovoltaics, to manufacture solar cells. The project retrains itself after every prediction, making it more robust and generalized over time.

Created covid data pipeline using PySpark and MySQL that collected data stream from API and do some processing and store it into MYSQL database.

NAC Official PyTorch implementation of NAC from the paper: Neural Auto-Curricula in Two-Player Zero-Sum Games. We release code for: Gradient based ora

The official implementation of NeurIPS 2021 paper: Finding Optimal Tangent Points for Reducing Distortions of Hard-label Attacks