Python NLU-training-data Resources

Introduction This is a Python package available on PyPI for NVIDIA-maintained utilities to streamline mixed precision and distributed training in Pyto

ONNX Runtime is a cross-platform inference and training machine-learning accelerator. ONNX Runtime inference can enable faster customer experiences an

CleverCSV is a Python package for handling messy CSV files. It provides a drop-in replacement for the builtin CSV module with improved dialect detection, and comes with a handy command line application for working with CSV files.

Overview of Kubeflow Fairing Kubeflow Fairing is a Python package that streamlines the process of building, training, and deploying machine learning (

Visual Attributes in the Wild (VAW) This repository provides data for the VAW dataset as described in the CVPR 2021 Paper: Learning to Predict Visual

databooks is a package for reducing the friction data scientists while using Jupyter notebooks, by reducing the number of git conflicts between different notebooks and assisting in the resolution of the conflicts.

Lens by Credo AI - Responsible AI Assessment Framework Lens is a comprehensive assessment framework for AI systems. Lens standardizes model and data a

gdsclient NOTE: This is a work in progress and many GDS features are known to be missing or not working properly. This repo hosts the sources for gdsc

Zero to Mastery Machine Learning Welcome! This repository contains all of the code, notebooks, images and other materials related to the Zero to Maste

Jogo da Segurança das Indústrias Acme Descrição Este jogo faz parte do projeto de entrega do primeiro módulo da Resilia Educação, referente ao curso d

Discord DataExtractor 🔮 Discord DataExtractor is a set of scripts that allows you to dig into your Discord Data package. Repository guide ☕ Coffee_Ga

ConnectMP - Taking Multi-Process Data Sharing to the moon 🚀 Contribute · Community · Documentation 🎫 Introduction : 🍤 ConnectMP is the easiest and

gdsclient This repo hosts the sources for gdsclient, a Python wrapper API for operating and working with the Neo4j Graph Data Science (GDS) library. g

CrossSum This repository contains the code, data, and models of the paper titled "CrossSum: Beyond English-Centric Cross-Lingual Abstractive Text Summ

GLIDE This is the official codebase for running the small, filtered-data GLIDE model from GLIDE: Towards Photorealistic Image Generation and Editing w

Deep AutoViML Pipeline for orchest.io Quickstart Build Deep Learning models with a single line of code: deep_autoviml Deep AutoViML helps you build te

Well-formed Limericks and Haikus with GPT2 📜 GPT-2 Rhyming Limerick and Haiku models using data augmentation In collaboration with Matthew Korahais &

brewhouse-management A desktop application developed in Python with PyQt5 to predict demand and help monitor and schedule brewing processes for Barnab

Welcome to your CDK Python project! This is a blank project for Python development with CDK. The cdk.json file tells the CDK Toolkit how to execute yo

SOFAR Inverter + LSW-3/LSE Small utility to read data from SOFAR K-TLX inverters through the Solarman (LSW-3/LSE) datalogger. Two scripts to get inver

quake2021 Data and analysis relating to the 5.8M Melbourne quake of 2021 Monash University Woodside Living Lab Building The building is located here T

Data Explorer Interactively explore your data directly in atom with hydrogen! The nteract data-explorer provides automatic data visualization, so you

naniar naniar provides principled, tidy ways to summarise, visualise, and manipulate missing data with minimal deviations from the workflows in ggplot

Description Data augmentation libarary for Deep Learning, which supports images, segmentation masks, labels and keypoints. Furthermore, SOLT is fast a

Fonduer is a Python package and framework for building knowledge base construction (KBC) applications from richly formatted data. Note that Fonduer is

Simple Gadget Collection for Object Detection Tasks Automatic image annotation Conversion between different annotation formats Obtain statistical info

crawler_to_visual_gmane Analyzing an EMAIL Archive from gmane and vizualizing the data using the D3 JavaScript library. This is a set of tools that al

base on browser-time to get har from network, and use python to analyze the data

QQ-Plot 2 Sample Just a gist to include the custom code to draw a qq-plot in python when dealing with a "two sample problem". This means when u try to

README This script provides LIVE feedback for On-The-Fly data collection with RELION (very useful to explore already processed datasets too!) Creating

PyFlwDir Intro PyFlwDir contains a series of methods to work with gridded DEM and flow direction datasets, which are key to many workflows in many ear

Pytorch library for seismic data augmentation

A Parameter-free Deep Embedded Clustering Method for Single-cell RNA-seq Data Overview Clustering analysis is widely utilized in single-cell RNA-seque

Beacon coin Beacon coin is a Chia singelton coin that can store data that needs to be: always available censorship resistant versioned potentially imm

Table_Editor Convert Table data to approximate values with GUIs... usage - Import methods for extension Tables. Imported method supposed to have only

LUSID® Python SDK This is the Python SDK for LUSID by FINBOURNE, a bi-temporal investment management data platform with portfolio accounting capabilit

unipipeline simple way to build the declarative and distributed data pipelines. Why you should use it Declarative strict config Scaffolding Fully type

PyFunctional Features PyFunctional makes creating data pipelines easy by using chained functional operators. Here are a few examples of what it can do

Automation that uses Github Actions, Google Drive API, YouTube Data API and youtube-dl together to feed BackJam app with new music

Geo-referenced Geometry File Formats Classic geometry file formats as .obj, .off, .ply, .stl or .dae do not support the utilization of coordinate syst

asammdf is a fast parser and editor for ASAM (Association for Standardization of Automation and Measuring Systems) MDF (Measurement Data Format) files

🌎 JSONClasses JSONClasses is a declarative data flow pipeline and data graph framework. Official Website: https://www.jsonclasses.com Official Docume

animeface deep models for anime images. Datasets anime-face-dataset Anime faces collected from Getchu.com. Based on Mckinsey666's dataset. 63.6K image

learned_optimization: Training and evaluating learned optimizers in JAX learned_optimization is a research codebase for training learned optimizers. I

HyperGBM Doc | 中文 We Are Hiring！ Dear folks,we are offering challenging opportunities located in Beijing for both professionals and students who are k

Overview Feast is an open source feature store for machine learning. Feast is the fastest path to productionizing analytic data for model training and

Nebula is an extremely-fast end-to-end interactive big data analytics solution. Nebula is designed as a high-performance columnar data storage and tabular OLAP engine.

Purpose These scripts allow you to record mocap data to, and play from .csv files. This approach facilitates parsing of body movement data in statisti

Opacus is a library that enables training PyTorch models with differential privacy. It supports training with minimal code changes required on the cli

Python package for analyzing sensor-collected human motion data

Motion Reconstruction Code and Data for Skills from Videos (SFV) This repo contains the data and the code for motion reconstruction component of the S

demir.ai Dataset Operations With this application, you can have the empty values (nan/null) deleted or filled before giving your dataset to machine le

Itchio Downloader Tool Install pip install git+https://github.com/emersont1/itchio Download All Games in library from account python -m itchio.downloa

BSD 3-Clause License Copyright (c) 2020, Mike Bromberek All rights reserved. ProcessWorkout Exercise data is exported in JSON format to iCloud using

COVID-19 in Howell County, Missouri This repository contains the daily data files used to generate my COVID-19 dashboard for Howell County, Missouri,

BERT, LDA, and TFIDF based keyword extraction in Python kwx is a toolkit for multilingual keyword extraction based on Google's BERT and Latent Dirichl

Data-viz utils 📈 Functions for data visualization in matplotlib 📚 API Can be installed using pip install dvu and then imported with import dvu. You

timemachines Autonomous, univariate, k-step ahead time-series forecasting functions assigned Elo ratings You can: Use some of the functionality of a s

Domain-informed Neural Networks Codes for building and training the neural network model described in Domain-informed neural networks for interaction

Imagine by Reasoning: A Reasoning-Based Implicit Semantic Data Augmentation for Long-Tailed Classification Prerequisite PyTorch = 1.2.0 Python3 torch

PTvsBT On the Complementarity between Pre-Training and Back-Translation for Neural Machine Translation (Findings of EMNLP 2021) Citation Please cite a

Vision-aided GAN video (3m) | website | paper Can the collective knowledge from a large bank of pretrained vision models be leveraged to improve GAN t

Fine-grained Post-training for Multi-turn Response Selection Implements the model described in the following paper Fine-grained Post-training for Impr

ARKitScenes This repo accompanies the research paper, ARKitScenes - A Diverse Real-World Dataset for 3D Indoor Scene Understanding Using Mobile RGB-D

Neural Volumes This repository contains training and evaluation code for the paper Neural Volumes. The method learns a 3D volumetric representation of

holiday-star balena ❤️ adafruitIO Introduction A DiY holiday project to demonstrate how you can send data from adafruitIO cloud to a balena edge devic

Hangman A hangman game that I created. Thanks to Data Flair for giving me the code! Run python3 hangman.py in a terminal if you have Python 3. Please

How useful is the aswer? A Streamlit web-app for a data-science project that aims to evaluate if the answer to a question is helpful. If you want to l

DataShare - Simple library for data sharing between scripts and public functions calling. Installation. Install code, Delete LICENSE, README, readme.t

Data-Efficient GANs with DiffAugment project | paper | datasets | video | slides Generated using only 100 images of Obama, grumpy cats, pandas, the Br

About The ROOT system provides a set of OO frameworks with all the functionality needed to handle and analyze large amounts of data in a very efficien

Table of Contents Sherpa License How To Install Sherpa Using Anaconda Using pip Building from source History Release History Sherpa Sherpa is a modeli

crypto-candlesticks 📈 The goal behind this project is to facilitate downloading cryptocurrency candlestick data fast & simple. Currently only the Bit

Label Studio for Hugging Face's Transformers Website • Docs • Twitter • Join Slack Community Transfer learning for NLP models by annotating your textu

A hyper-fast, safe Python module to read and write JSON data. Works as a drop-in replacement for Python's built-in json module. This is alpha software

Codes-for-Algorithms Codes for realizing theories learned from Data Mining, Machine Learning, Deep Learning without using the present Python packages.

A model that attempts to learn and benefit from data collected on card counting. A decision tree like model is built to win more often than loose and increase the bet of the player appropriately to come out winning as much money as possible.

Overcooked-AI We suppose to apply traditional offline reinforcement learning technique to multi-agent algorithm. In this repository, we implemented be

irispreppy For radiometrically calibrating and PSF deconvolving IRIS data. I dislike how I need to own proprietary software (IDL) just to simply prepa

Data 25 Star Wars Project Instructions The character data in your MongoDB database has been pulled from https://swapi.tech/. As well as 'people', the

SEW (Squeezed and Efficient Wav2vec) The repo contains the code of the paper "Performance-Efficiency Trade-offs in Unsupervised Pre-training for Speec

FastFormers FastFormers provides a set of recipes and methods to achieve highly efficient inference of Transformer models for Natural Language Underst

Sequential Transformer This is a code for training Transformers on sequential tasks such as language modeling. Unlike the original Transformer archite

cc_net Tools to download and clean Common Crawl as introduced in our paper CCNet. If you found these resources useful, please consider citing: @inproc

PEGASUS library Pre-training with Extracted Gap-sentences for Abstractive SUmmarization Sequence-to-sequence models, or PEGASUS, uses self-supervised

Hiring We are hiring at all levels (including FTE researchers and interns)! If you are interested in working with us on NLP and large-scale pre-traine

FlauBERT and FLUE FlauBERT is a French BERT trained on a very large and heterogeneous French corpus. Models of different sizes are trained using the n

A State-of-the-Art Large-scale Pretrained Response Generation Model (DialoGPT) This repository contains the source code and trained model for a large-

ProphetNet-X This repo provides the code for reproducing the experiments in ProphetNet. In the paper, we propose a new pre-trained language model call

ELECTRA Introduction ELECTRA is a method for self-supervised language representation learning. It can be used to pre-train transformer networks using

Weather Clock for Raspberry PI This project is a dashboard for Raspberry Pi to display environmental weather data, rain radar, weather forecast, etc.

FTLNet_Pytorch Pytorch codes for Feature Transfer Learning for Face Recognition with Under-Represented Data 1. Introduction This repo is an unofficial

RangeLoss Pytorch This is a Pytorch reproduction of Range Loss, which is proposed in paper 《Range Loss for Deep Face Recognition with Long-Tailed Trai

Notice: Support for Python 3.6 will be dropped in v.0.2.1, please plan accordingly! Efficient and Scalable Physics-Informed Deep Learning Collocation-

Deep Abstract Networks A pyTorch implementation for AAAI-2022 paper DANets: Deep Abstract Networks for Tabular Data Classification and Regression. Bri

This is a repository for all hackerank challenges kindly note this is for learning purposes and if you wish to contribute, dont hesitate all submision

Behavioural-Cloning-in-autonomous-driving Using CNN to mimic the driver based on training data from Torcs. Approach First, the data was collected from

Snapchat "Memories" Fetcher In compliance with the California Consumer Privacy Act of 2018 (“CCPA”), businesses which collect and store user data must

An ipywidgets wrapper of regular-table for Jupyter. Examples Two Billion Rows Notebook Click Events Notebook Edit Events Notebook Styling Notebook Pan

Overview This project uses historical baseball games data to calculate an Elo-like rating for MLB teams based on regular season match ups. The Elo rat