3073 Repositories
Python synthetic-data-generation Libraries
Quick tutorial on orchest.io that shows how to build multiple deep learning models on your data with a single line of code using python
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
📜 GPT-2 Rhyming Limerick and Haiku models using data augmentation
Well-formed Limericks and Haikus with GPT2 📜 GPT-2 Rhyming Limerick and Haiku models using data augmentation In collaboration with Matthew Korahais &
A desktop application developed in Python with PyQt5 to predict demand and help monitor and schedule brewing processes for Barnaby's Brewhouse.
brewhouse-management A desktop application developed in Python with PyQt5 to predict demand and help monitor and schedule brewing processes for Barnab
Data Platform com AWS CDK
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
Get MODBUS data from Sofar (K-TLX) inverter through LSW-3 or LSE module
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
Data and analysis relating to the 5.8M Melbourne quake of 2021
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
Automatic data visualization in atom with the nteract data-explorer
Data Explorer Interactively explore your data directly in atom with hydrogen! The nteract data-explorer provides automatic data visualization, so you
Tidy data structures, summaries, and visualisations for missing data
naniar naniar provides principled, tidy ways to summarise, visualise, and manipulate missing data with minimal deviations from the workflows in ggplot
Streaming over lightweight data transformations
Description Data augmentation libarary for Deep Learning, which supports images, segmentation masks, labels and keypoints. Furthermore, SOLT is fast a
A knowledge base construction engine for richly formatted data
Fonduer is a Python package and framework for building knowledge base construction (KBC) applications from richly formatted data. Note that Fonduer is
Automatic labeling, conversion of different data set formats, sample size statistics, model cascade
Simple Gadget Collection for Object Detection Tasks Automatic image annotation Conversion between different annotation formats Obtain statistical info
This is a web crawler that works on employ email data by gmane.org and visualizes it in different ways.
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 .
base on browser-time to get har from network, and use python to analyze the data
A custom qq-plot for two sample data comparision
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
This script provides LIVE feedback for On-The-Fly data collection with RELION
README This script provides LIVE feedback for On-The-Fly data collection with RELION (very useful to explore already processed datasets too!) Creating
An AI for Music Generation
An AI for Music Generation
Fast methods to work with hydro- and topography data in pure Python.
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
Pytorch library for seismic data augmentation
TensorFlow Implementation of Unsupervised Cross-Domain Image Generation
Domain Transfer Network (DTN) TensorFlow implementation of Unsupervised Cross-Domain Image Generation. Requirements Python 2.7 TensorFlow 0.12 Pickle
🏆 • 5050 most frequent words in 109 languages
🏆 Most Common Words Multilingual 5000 most frequent words in 109 languages. Uses wordfrequency.info as a source. 🔗 License source code license data
A Parameter-free Deep Embedded Clustering Method for Single-cell RNA-seq Data
A Parameter-free Deep Embedded Clustering Method for Single-cell RNA-seq Data Overview Clustering analysis is widely utilized in single-cell RNA-seque
Highly decentralized and censorship-resistant way to store key data
Beacon coin Beacon coin is a Chia singelton coin that can store data that needs to be: always available censorship resistant versioned potentially imm
Convert Table data to approximate values with GUI
Table_Editor Convert Table data to approximate values with GUIs... usage - Import methods for extension Tables. Imported method supposed to have only
Python SDK for LUSID by FINBOURNE, a bi-temporal investment management data platform with portfolio accounting capabilities.
LUSID® Python SDK This is the Python SDK for LUSID by FINBOURNE, a bi-temporal investment management data platform with portfolio accounting capabilit
simple way to build the declarative and destributed data pipelines with python
unipipeline simple way to build the declarative and distributed data pipelines. Why you should use it Declarative strict config Scaffolding Fully type
Python library for creating data pipelines with chain functional programming
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
Automation that uses Github Actions, Google Drive API, YouTube Data API and youtube-dl together to feed BackJam app with new music
Evaluation of file formats in the context of geo-referenced 3D geometries.
Geo-referenced Geometry File Formats Classic geometry file formats as .obj, .off, .ply, .stl or .dae do not support the utilization of coordinate syst
Fast Python reader and editor for ASAM MDF / MF4 (Measurement Data Format) files
asammdf is a fast parser and editor for ASAM (Association for Standardization of Automation and Measuring Systems) MDF (Measurement Data Format) files
🌎 The Modern Declarative Data Flow Framework for the AI Empowered Generation.
🌎 JSONClasses JSONClasses is a declarative data flow pipeline and data graph framework. Official Website: https://www.jsonclasses.com Official Docume
A full pipeline AutoML tool for tabular data
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
Feature Store for Machine Learning
Overview Feast is an open source feature store for machine learning. Feast is the fastest path to productionizing analytic data for model training and
Semantic Bottleneck Scene Generation
SB-GAN Semantic Bottleneck Scene Generation Coupling the high-fidelity generation capabilities of label-conditional image synthesis methods with the f
[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation
Contents Local and Global GAN Cross-View Image Translation Semantic Image Synthesis Acknowledgments Related Projects Citation Contributions Collaborat
[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation
SelectionGAN for Guided Image-to-Image Translation CVPR Paper | Extended Paper | Guided-I2I-Translation-Papers Citation If you use this code for your
A distributed block-based data storage and compute engine
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.
Synthetic Scene Text from 3D Engines
Introduction UnrealText is a project that synthesizes scene text images using 3D graphics engine. This repository accompanies our paper: UnrealText: S
AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation
AtlasNet [Project Page] [Paper] [Talk] AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation Thibault Groueix, Matthew Fisher, Vladimir
Learning from Synthetic Humans, CVPR 2017
Learning from Synthetic Humans (SURREAL) Gül Varol, Javier Romero, Xavier Martin, Naureen Mahmood, Michael J. Black, Ivan Laptev and Cordelia Schmid,
Use .csv files to record, play and evaluate motion capture data.
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
Backend code to use MCPI's python API to make infinite worlds with custom generation
inf-mcpi Backend code to use MCPI's python API to make infinite worlds with custom generation Does not save player-placed blocks! Generation is still
Python package for analyzing sensor-collected human motion data
Python package for analyzing sensor-collected human motion data
Motion Reconstruction Code and Data for Skills from Videos (SFV)
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
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
Library for Russian imprecise rhymes generation
TOM RHYMER Library for Russian imprecise rhymes generation. Quick Start Generate rhymes by any given rhyme scheme (aabb, abab, aaccbb, etc ...): from
Itchio Downloader Tool with python
Itchio Downloader Tool Install pip install git+https://github.com/emersont1/itchio Download All Games in library from account python -m itchio.downloa
Process RunGap output file of a workout and load data into Apple Numbers Spreadsheet and my website with API calls
BSD 3-Clause License Copyright (c) 2020, Mike Bromberek All rights reserved. ProcessWorkout Exercise data is exported in JSON format to iCloud using
Howell County, Missouri, COVID-19 data and (unofficial) estimates
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
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
Functions for easily making publication-quality figures with matplotlib.
Data-viz utils 📈 Functions for data visualization in matplotlib 📚 API Can be installed using pip install dvu and then imported with import dvu. You
Almost State-of-the-art Text Generation library
Ps: we are adding transformer model soon Text Gen 🐐 Almost State-of-the-art Text Generation library Text gen is a python library that allow you build
Continuously evaluated, functional, incremental, time-series forecasting
timemachines Autonomous, univariate, k-step ahead time-series forecasting functions assigned Elo ratings You can: Use some of the functionality of a s
Code for: Imagine by Reasoning: A Reasoning-Based Implicit Semantic Data Augmentation for Long-Tailed Classification
Imagine by Reasoning: A Reasoning-Based Implicit Semantic Data Augmentation for Long-Tailed Classification Prerequisite PyTorch = 1.2.0 Python3 torch
"Learning and Analyzing Generation Order for Undirected Sequence Models" in Findings of EMNLP, 2021
undirected-generation-dev This repo contains the source code of the models described in the following paper "Learning and Analyzing Generation Order f
Ensembling Off-the-shelf Models for GAN Training
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
[ICCV 2021] Target Adaptive Context Aggregation for Video Scene Graph Generation
Target Adaptive Context Aggregation for Video Scene Graph Generation This is a PyTorch implementation for Target Adaptive Context Aggregation for Vide
Code for the ICCV'21 paper "Context-aware Scene Graph Generation with Seq2Seq Transformers"
ICCV'21 Context-aware Scene Graph Generation with Seq2Seq Transformers Authors: Yichao Lu*, Himanshu Rai*, Cheng Chang*, Boris Knyazev†, Guangwei Yu,
ARKitScenes - A Diverse Real-World Dataset for 3D Indoor Scene Understanding Using Mobile RGB-D Data
ARKitScenes This repo accompanies the research paper, ARKitScenes - A Diverse Real-World Dataset for 3D Indoor Scene Understanding Using Mobile RGB-D
Code for "Audio-driven Talking Face Video Generation with Learning-based Personalized Head Pose"
Audio-driven Talking Face Video Generation with Learning-based Personalized Head Pose We provide PyTorch implementations for our arxiv paper "Audio-dr
MEAD: A Large-scale Audio-visual Dataset for Emotional Talking-face Generation [ECCV2020]
MEAD: A Large-scale Audio-visual Dataset for Emotional Talking-face Generation [ECCV2020] by Kaisiyuan Wang, Qianyi Wu, Linsen Song, Zhuoqian Yang, Wa
Hierarchical Cross-modal Talking Face Generation with Dynamic Pixel-wise Loss (ATVGnet)
Hierarchical Cross-modal Talking Face Generation with Dynamic Pixel-wise Loss (ATVGnet) By Lele Chen , Ross K Maddox, Zhiyao Duan, Chenliang Xu. Unive
Code for Talking Face Generation by Adversarially Disentangled Audio-Visual Representation (AAAI 2019)
Talking Face Generation by Adversarially Disentangled Audio-Visual Representation (AAAI 2019) We propose Disentangled Audio-Visual System (DAVS) to ad
Code for the paper Progressive Pose Attention for Person Image Generation in CVPR19 (Oral).
Pose-Transfer Code for the paper Progressive Pose Attention for Person Image Generation in CVPR19(Oral). The paper is available here. Video generation
Convert given source code into .pdf with syntax highlighting and more features
Code2pdf 📠 Convert given source code into .pdf with syntax highlighting and more features Build Status Version Downloads Python Demo Installation Bui
A DiY holiday project to demonstrate how you can send data from adafruitIO cloud to a balena edge device
holiday-star balena ❤️ adafruitIO Introduction A DiY holiday project to demonstrate how you can send data from adafruitIO cloud to a balena edge devic
A hangman game that I created. Thanks to Data Flair for giving me the code!
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
A Streamlit web-app for a data-science project that aims to evaluate if the answer to a question is helpful.
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
DataShare - Simple library for data sharing between scripts and public functions calling. Installation. Install code, Delete LICENSE, README, readme.t
Ensembling Off-the-shelf Models for GAN Training
Data-Efficient GANs with DiffAugment project | paper | datasets | video | slides Generated using only 100 images of Obama, grumpy cats, pandas, the Br
The official repository for ROOT: analyzing, storing and visualizing big data, scientifically
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
Fit models to your data in Python with Sherpa.
Table of Contents Sherpa License How To Install Sherpa Using Anaconda Using pip Building from source History Release History Sherpa Sherpa is a modeli
Download candlestick data fast & easy for analysis
crypto-candlesticks 📈 The goal behind this project is to facilitate downloading cryptocurrency candlestick data fast & simple. Currently only the Bit
Label data using HuggingFace's transformers and automatically get a prediction service
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 Python module for reading/writing JSON data using Rust's serde-json.
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 realizing theories learned from Data Mining, Machine Learning, Deep Learning without using the present Python packages.
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 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.
Offline Multi-Agent Reinforcement Learning Implementations: Solving Overcooked Game with Data-Driven Method
Overcooked-AI We suppose to apply traditional offline reinforcement learning technique to multi-agent algorithm. In this repository, we implemented be
For radiometrically calibrating and PSF deconvolving IRIS data
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 With Python
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
GANformer: Generative Adversarial Transformers
GANformer: Generative Adversarial Transformers Drew A. Hudson* & C. Lawrence Zitnick Update: We released the new GANformer2 paper! *I wish to thank Ch
CPT: A Pre-Trained Unbalanced Transformer for Both Chinese Language Understanding and Generation
CPT This repository contains code and checkpoints for CPT. CPT: A Pre-Trained Unbalanced Transformer for Both Chinese Language Understanding and Gener
Tools to download and cleanup Common Crawl data
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
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
English | 简体中文 | 繁體中文 | 한국어 State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow 🤗 Transformers provides thousands of pretrained models
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
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
Large-scale pretraining for dialogue
A State-of-the-Art Large-scale Pretrained Response Generation Model (DialoGPT) This repository contains the source code and trained model for a large-
Few-shot Natural Language Generation for Task-Oriented Dialog
Few-shot Natural Language Generation for Task-Oriented Dialog This repository contains the dataset, source code and trained model for the following pa
Code for ACL 2020 paper "Rigid Formats Controlled Text Generation"
SongNet SongNet: SongCi + Song (Lyrics) + Sonnet + etc. @inproceedings{li-etal-2020-rigid, title = "Rigid Formats Controlled Text Generation",
Conditional Transformer Language Model for Controllable Generation
CTRL - A Conditional Transformer Language Model for Controllable Generation Authors: Nitish Shirish Keskar, Bryan McCann, Lav Varshney, Caiming Xiong,
Awesome Treasure of Transformers Models Collection
💁 Awesome Treasure of Transformers Models for Natural Language processing contains papers, videos, blogs, official repo along with colab Notebooks. 🛫☑️
A dashboard for Raspberry Pi to display environmental weather data, rain radar, weather forecast, etc. written in Python
Weather Clock for Raspberry PI This project is a dashboard for Raspberry Pi to display environmental weather data, rain radar, weather forecast, etc.
A linear stairs generation add-on for Blender
Linear Stairs Generator Table of Contents Installation Usage Screenshots Important Notes Requirements Blender 3.0 or newer. Installation: Download a z
Pytorch codes for Feature Transfer Learning for Face Recognition with Under-Represented Data
FTLNet_Pytorch Pytorch codes for Feature Transfer Learning for Face Recognition with Under-Represented Data 1. Introduction This repo is an unofficial
A Pytorch reproduction of Range Loss, which is proposed in paper 《Range Loss for Deep Face Recognition with Long-Tailed Training Data》
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
DANet for Tabular data classification/ regression.
Deep Abstract Networks A pyTorch implementation for AAAI-2022 paper DANets: Deep Abstract Networks for Tabular Data Classification and Regression. Bri
Code for Massive-scale Decoding for Text Generation using Lattices
Massive-scale Decoding for Text Generation using Lattices Jiacheng Xu, Greg Durrett TL;DR: a new search algorithm to construct lattices encoding many
A hackerank problems, solution repository
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
Using CNN to mimic the driver based on training data from Torcs
Behavioural-Cloning-in-autonomous-driving Using CNN to mimic the driver based on training data from Torcs. Approach First, the data was collected from
👻🟡 Download all Snapchat video & photo memories from a data export.
Snapchat "Memories" Fetcher In compliance with the California Consumer Privacy Act of 2018 (“CCPA”), businesses which collect and store user data must
High performance, editable, stylable datagrids in jupyter and jupyterlab
An ipywidgets wrapper of regular-table for Jupyter. Examples Two Billion Rows Notebook Click Events Notebook Edit Events Notebook Styling Notebook Pan
Tools for calculating and visualizing Elo-like ratings of MLB teams using Retosheet data
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