3285 Repositories
Python data-flow-analysis Libraries
ULMFiT for Genomic Sequence Data
Genomic ULMFiT This is an implementation of ULMFiT for genomics classification using Pytorch and Fastai. The model architecture used is based on the A
This repository is for adding codes of data structures and algorithms, leetCode, hackerrank etc solutions in different languages
DSA-Code-Snippet This repository is for adding codes of data structures and algorithms, leetCode, hackerrank etc solutions in different languages Cont
First and foremost, we want dbt documentation to retain a DRY principle. Every time we repeat ourselves, we waste our time. Second, we want to understand column level lineage and automate impact analysis.
dbt-osmosis First and foremost, we want dbt documentation to retain a DRY principle. Every time we repeat ourselves, we waste our time. Second, we wan
Demo code for ICCV 2021 paper "Sensor-Guided Optical Flow"
Sensor-Guided Optical Flow Demo code for "Sensor-Guided Optical Flow", ICCV 2021 This code is provided to replicate results with flow hints obtained f
This repository is a compilation of important Data Structures and Algorithms based on Python.
Python DSA 🐍 This repository is a compilation of important Data Structures and Algorithms based on Python. Please make seperate folders for different
Vectorizers for a range of different data types
Vectorizers for a range of different data types
deep-table implements various state-of-the-art deep learning and self-supervised learning algorithms for tabular data using PyTorch.
deep-table implements various state-of-the-art deep learning and self-supervised learning algorithms for tabular data using PyTorch.
pcnaDeep integrates cutting-edge detection techniques with tracking and cell cycle resolving models.
pcnaDeep: a deep-learning based single-cell cycle profiler with PCNA signal Welcome! pcnaDeep integrates cutting-edge detection techniques with tracki
Tools for collecting social media data around focal events
Social Media Focal Events The focalevents codebase provides tools for organizing data collected around focal events on social media. It is often diffi
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation, available for both PyTorch and Tensorflow.
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation, available for both PyTorch and Tensorflow.
Elementary is an open-source data reliability framework for modern data teams. The first module of the framework is data lineage.
Data lineage made simple, reliable, and automated. Effortlessly track the flow of data, understand dependencies and analyze impact. Features Visualiza
A fast model to compute optical flow between two input images.
DCVNet: Dilated Cost Volumes for Fast Optical Flow This repository contains our implementation of the paper: @InProceedings{jiang2021dcvnet, title={
[ICCV 2021] Excavating the Potential Capacity of Self-Supervised Monocular Depth Estimation
EPCDepth EPCDepth is a self-supervised monocular depth estimation model, whose supervision is coming from the other image in a stereo pair. Details ar
A curated (most recent) list of resources for Learning with Noisy Labels
A curated (most recent) list of resources for Learning with Noisy Labels
ThePhish: an automated phishing email analysis tool
ThePhish ThePhish is an automated phishing email analysis tool based on TheHive, Cortex and MISP. It is a web application written in Python 3 and base
Pre-trained BERT Models for Ancient and Medieval Greek, and associated code for LaTeCH 2021 paper titled - "A Pilot Study for BERT Language Modelling and Morphological Analysis for Ancient and Medieval Greek"
Ancient Greek BERT The first and only available Ancient Greek sub-word BERT model! State-of-the-art post fine-tuning on Part-of-Speech Tagging and Mor
PyNeuro is designed to connect NeuroSky's MindWave EEG device to Python and provide Callback functionality to provide data to your application in real time.
PyNeuro PyNeuro is designed to connect NeuroSky's MindWave EEG device to Python and provide Callback functionality to provide data to your application
This YoloV5 based model is fit to detect people and different types of land vehicles, and displaying their density on a fitted map, according to their coordinates and detected labels.
This YoloV5 based model is fit to detect people and different types of land vehicles, and displaying their density on a fitted map, according to their
Research Artifact of USENIX Security 2022 Paper: Automated Side Channel Analysis of Media Software with Manifold Learning
Manifold-SCA Research Artifact of USENIX Security 2022 Paper: Automated Side Channel Analysis of Media Software with Manifold Learning The repo is org
A PyTorch repo for data loading and utilities to be shared by the PyTorch domain libraries.
A PyTorch repo for data loading and utilities to be shared by the PyTorch domain libraries.
AutoTabular automates machine learning tasks enabling you to easily achieve strong predictive performance in your applications.
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.
a reimplementation of Optical Flow Estimation using a Spatial Pyramid Network in PyTorch
pytorch-spynet This is a personal reimplementation of SPyNet [1] using PyTorch. Should you be making use of this work, please cite the paper according
🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥
face.evoLVe: High-Performance Face Recognition Library based on PaddlePaddle & PyTorch Evolve to be more comprehensive, effective and efficient for fa
A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.
Imbalanced Dataset Sampler Introduction In many machine learning applications, we often come across datasets where some types of data may be seen more
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 200 universities.
D2L.ai: Interactive Deep Learning Book with Multi-Framework Code, Math, and Discussions Book website | STAT 157 Course at UC Berkeley | Latest version
Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)
Hierarchical neural-net interpretations (ACD) 🧠 Produces hierarchical interpretations for a single prediction made by a pytorch neural network. Offic
Implementation of linear CorEx and temporal CorEx.
Correlation Explanation Methods Official implementation of linear correlation explanation (linear CorEx) and temporal correlation explanation (T-CorEx
The source code and data of the paper "Instance-wise Graph-based Framework for Multivariate Time Series Forecasting".
IGMTF The source code and data of the paper "Instance-wise Graph-based Framework for Multivariate Time Series Forecasting". Requirements The framework
WRENCH: Weak supeRvision bENCHmark
🔧 What is it? Wrench is a benchmark platform containing diverse weak supervision tasks. It also provides a common and easy framework for development
Code and data to accompany the camera-ready version of "Cross-Attention is All You Need: Adapting Pretrained Transformers for Machine Translation" in EMNLP 2021
Code and data to accompany the camera-ready version of "Cross-Attention is All You Need: Adapting Pretrained Transformers for Machine Translation" in EMNLP 2021
Pro Football Reference Game Data Webscraper
Pro Football Reference Game Data Webscraper Code Copyright Yeetzsche This is a simple Pro Football Reference Webscraper that can either collect all ga
📊📈 Serves up Pandas dataframes via the Django REST Framework for use in client-side (i.e. d3.js) visualizations and offline analysis (e.g. Excel)
📊📈 Serves up Pandas dataframes via the Django REST Framework for use in client-side (i.e. d3.js) visualizations and offline analysis (e.g. Excel)
Sampling profiler for Python programs
py-spy: Sampling profiler for Python programs py-spy is a sampling profiler for Python programs. It lets you visualize what your Python program is spe
A Tools that help Data Scientists and ML engineers train and deploy ML models.
Domino Research This repo contains projects under active development by the Domino R&D team. We build tools that help Data Scientists and ML engineers
Code and data form the paper BERT Got a Date: Introducing Transformers to Temporal Tagging
BERT Got a Date: Introducing Transformers to Temporal Tagging Satya Almasian*, Dennis Aumiller*, and Michael Gertz Heidelberg University Contact us vi
Python library which makes it possible to dynamically mask/anonymize data using JSON string or python dict rules in a PySpark environment.
pyspark-anonymizer Python library which makes it possible to dynamically mask/anonymize data using JSON string or python dict rules in a PySpark envir
Know your customer pipeline in apache air flow
KYC_pipline Know your customer pipeline in apache air flow For a successful pipeline run take these steps: Run you Airflow server Admin - connection
A PyTorch implementation of the WaveGlow: A Flow-based Generative Network for Speech Synthesis
WaveGlow A PyTorch implementation of the WaveGlow: A Flow-based Generative Network for Speech Synthesis Quick Start: Install requirements: pip install
Meli Data Challenge 2021 - First Place Solution
My solution for the Meli Data Challenge 2021
The PASS dataset: pretrained models and how to get the data - PASS: Pictures without humAns for Self-Supervised Pretraining
The PASS dataset: pretrained models and how to get the data - PASS: Pictures without humAns for Self-Supervised Pretraining
PyTorch implementations of normalizing flow and its variants.
PyTorch implementations of normalizing flow and its variants.
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation, available for both PyTorch and Tensorflow.
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation, available for both PyTorch and Tensorflow.
A collection of resources/tools and analyses for the angr binary analysis framework.
Awesome angr A collection of resources/tools and analyses for the angr binary analysis framework. This page does not only collect links and external r
An esoteric data type built entirely of NaNs.
NaNsAreNumbers An esoteric data type built entirely of NaNs. Installation pip install nans_are_numbers Explanation A floating point number is just co
Labelling platform for text using distant supervision
With DataQA, you can label unstructured text documents using rule-based distant supervision.
Implementation of Squeezenet in pytorch, pretrained models on Cifar 10 data to come
Pytorch Squeeznet Pytorch implementation of Squeezenet model as described in https://arxiv.org/abs/1602.07360 on cifar-10 Data. The definition of Sque
Pytorch implementation of FlowNet by Dosovitskiy et al.
FlowNetPytorch Pytorch implementation of FlowNet by Dosovitskiy et al. This repository is a torch implementation of FlowNet, by Alexey Dosovitskiy et
Recurrent Variational Autoencoder that generates sequential data implemented with pytorch
Pytorch Recurrent Variational Autoencoder Model: This is the implementation of Samuel Bowman's Generating Sentences from a Continuous Space with Kim's
Hierarchical unsupervised and semi-supervised topic models for sparse count data with CorEx
Anchored CorEx: Hierarchical Topic Modeling with Minimal Domain Knowledge Correlation Explanation (CorEx) is a topic model that yields rich topics tha
TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP
TextAttack 🐙 Generating adversarial examples for NLP models [TextAttack Documentation on ReadTheDocs] About • Setup • Usage • Design About TextAttack
Faker is a Python package that generates fake data for you.
Faker is a Python package that generates fake data for you. Whether you need to bootstrap your database, create good-looking XML documents, fill-in yo
Model Agnostic Confidence Estimator (MACEST) - A Python library for calibrating Machine Learning models' confidence scores
Model Agnostic Confidence Estimator (MACEST) - A Python library for calibrating Machine Learning models' confidence scores
PySpark Cheat Sheet - learn PySpark and develop apps faster
This cheat sheet will help you learn PySpark and write PySpark apps faster. Everything in here is fully functional PySpark code you can run or adapt to your programs.
TorchGeo is a PyTorch domain library, similar to torchvision, that provides datasets, transforms, samplers, and pre-trained models specific to geospatial data.
TorchGeo is a PyTorch domain library, similar to torchvision, that provides datasets, transforms, samplers, and pre-trained models specific to geospatial data.
The project is investigating methods to extract human-marked data from document forms such as surveys and tests.
The project is investigating methods to extract human-marked data from document forms such as surveys and tests. They can read questions, multiple-choice exam papers, and grade.
Python reader for Linked Data in HDF5 files
Linked Data are becoming more popular for user-created metadata in HDF5 files.
Beta Distribution Guided Aspect-aware Graph for Aspect Category Sentiment Analysis with Affective Knowledge. Proceedings of EMNLP 2021
AAGCN-ACSA EMNLP 2021 Introduction This repository was used in our paper: Beta Distribution Guided Aspect-aware Graph for Aspect Category Sentiment An
Pyan3 - Offline call graph generator for Python 3
Pyan takes one or more Python source files, performs a (rather superficial) static analysis, and constructs a directed graph of the objects in the combined source, and how they define or use each other. The graph can be output for rendering by GraphViz or yEd.
Sampling profiler for Python programs
py-spy: Sampling profiler for Python programs py-spy is a sampling profiler for Python programs. It lets you visualize what your Python program is spe
Django package to log request values such as device, IP address, user CPU time, system CPU time, No of queries, SQL time, no of cache calls, missing, setting data cache calls for a particular URL with a basic UI.
django-web-profiler's documentation: Introduction: django-web-profiler is a django profiling tool which logs, stores debug toolbar statistics and also
📊📈 Serves up Pandas dataframes via the Django REST Framework for use in client-side (i.e. d3.js) visualizations and offline analysis (e.g. Excel)
Django REST Pandas Django REST Framework + pandas = A Model-driven Visualization API Django REST Pandas (DRP) provides a simple way to generate and se
Data from popular CS:GO website hltv.org
Welcome to hltv-data 👋 🎮 Data from popular CS:GO website hltv.org Install pip install hltv-data Usage The public methods can be reached using HLTVCl
Obsidian tools - a Python package for analysing an Obsidian.md vault
obsidiantools is a Python package for getting structured metadata about your Obsidian.md notes and analysing your vault.
A demo of a data science project using Kedro
iris Overview This is your new Kedro project, which was generated using Kedro 0.17.4. Take a look at the Kedro documentation to get started. Rules and
django-dashing is a customisable, modular dashboard application framework for Django to visualize interesting data about your project. Inspired in the dashboard framework Dashing
django-dashing django-dashing is a customisable, modular dashboard application framework for Django to visualize interesting data about your project.
CDLA: A Chinese document layout analysis (CDLA) dataset
CDLA: A Chinese document layout analysis (CDLA) dataset 介绍 CDLA是一个中文文档版面分析数据集,面向中文文献类(论文)场景。包含以下10个label: 正文 标题 图片 图片标题 表格 表格标题 页眉 页脚 注释 公式 Text Title
Produces a summary CSV report of an Amber Electric customer's energy consumption and cost data.
Amber Electric Usage Summary This is a command line tool that produces a summary CSV report of an Amber Electric customer's energy consumption and cos
Technical Indicators implemented in Python only using Numpy-Pandas as Magic - Very Very Fast! Very tiny! Stock Market Financial Technical Analysis Python library . Quant Trading automation or cryptocoin exchange
MyTT Technical Indicators implemented in Python only using Numpy-Pandas as Magic - Very Very Fast! to Stock Market Financial Technical Analysis Python
Rafael Project- Classifying rockets to different types using data science algorithms.
Rocket-Classify Rafael Project- Classifying rockets to different types using data science algorithms. In this project we received data base with data
[ArXiv 2021] Data-Efficient Instance Generation from Instance Discrimination
InsGen - Data-Efficient Instance Generation from Instance Discrimination Data-Efficient Instance Generation from Instance Discrimination Ceyuan Yang,
Shape Matching of Real 3D Object Data to Synthetic 3D CADs (3DV project @ ETHZ)
Real2CAD-3DV Shape Matching of Real 3D Object Data to Synthetic 3D CADs (3DV project @ ETHZ) Group Member: Yue Pan, Yuanwen Yue, Bingxin Ke, Yujie He
A daily updated JSON dataset of all the Open House London venues, events, and metadata
Open House London listings data All of it. Automatically scraped hourly with updates committed to git, autogenerated per-day CSV's, and autogenerated
lightweight, fast and robust columnar dataframe for data analytics with online update
streamdf Streamdf is a lightweight data frame library built on top of the dictionary of numpy array, developed for Kaggle's time-series code competiti
CS 506 - Computational Tools for Data Science
CS 506 - Computational Tools for Data Science Code, slides, and notes for Boston University CS506 Fall 2021 The Final Project Repository can be found
An all-inclusive Python framework for the Riot Games League of Legends API. We focus on making the data easy and fun to work with, while providing all the tools necessary to create a website or do data analysis.
Cassiopeia A Python adaptation of the Riot Games League of Legends API (https://developer.riotgames.com/). Cassiopeia is the sister library to Orianna
Learn how to responsibly deliver value with ML.
Made With ML Applied ML · MLOps · Production Join 30K+ developers in learning how to responsibly deliver value with ML. 🔥 Among the top MLOps reposit
Visions provides an extensible suite of tools to support common data analysis operations
Visions And these visions of data types, they kept us up past the dawn. Visions provides an extensible suite of tools to support common data analysis
An open-source Python project series where beginners can contribute and practice coding.
Python Mini Projects A collection of easy Python small projects to help you improve your programming skills. Table Of Contents Aim Of The Project Cont
An unofficial python API for trading on the DeGiro platform, with the ability to get real time data and historical data.
DegiroAPI An unofficial API for the trading platform Degiro written in Python with the ability to get real time data and historical data for products.
jsoooooooon derulo - Make sure your 'jason derulo' is featured as the first part of your json data
jsonderulo Make sure your 'jason derulo' is featured as the first part of your json data Install: # python pip install jsonderulo poetry add jsonderul
Tools to help record data from Qiskit jobs
archiver4qiskit Tools to help record data from Qiskit jobs. Install with pip install git+https://github.com/NCCR-SPIN/archiver4qiskit.git Import the
Klara is a static analysis tools to automatic generate test case, based on SMT (z3) solver, with a powerful ast level inference system.
Automatic test case generation for python and static analysis library
This reporistory contains the test-dev data of the paper "xGQA: Cross-lingual Visual Question Answering".
This reporistory contains the test-dev data of the paper "xGQA: Cross-lingual Visual Question Answering".
Some usefull scripts for the Nastran's 145 solution (Flutter Analysis) using the pyNastran package.
nastran-aero-flutter This project is intended to analyse the Supersonic Panel Flutter using the NASTRAN software. The project uses the pyNastran and t
TidyPy is a tool that encapsulates a number of other static analysis tools and makes it easy to configure, execute, and review their results.
TidyPy Contents Overview Features Usage Docker Configuration Ignoring Issues Included Tools Included Reporters Included Integrations Extending TidyPy
Goddard Image Analysis and Navigation Tool
Copyright 2021 United States Government as represented by the Administrator of the National Aeronautics and Space Administration. No copyright is clai
“Data Augmentation for Cross-Domain Named Entity Recognition” (EMNLP 2021)
Data Augmentation for Cross-Domain Named Entity Recognition Authors: Shuguang Chen, Gustavo Aguilar, Leonardo Neves and Thamar Solorio This repository
Python solutions to Codeforces problems
CodeForces This repository is dedicated to my Python solutions for CodeForces problems. Feel free to copy, contribute and/or comment. If you find any
Python code written to utilize the Korlan usb2can hardware to send and receive data over the can-bus on a 2008 Nissan 350z
nissan_ecu_hacking Python code written to utilize the Korlan usb2can hardware to send and receive data over the can-bus on a 2008 Nissan 350z My goal
Pokemon catch events project to demonstrate data pipeline on AWS
Pokemon Catches Data Pipeline This is a sample project to practice end-to-end data project; Terraform is used to deploy infrastructure; Kafka is the t
Sample project showing reliable data ingestion application using FastAPI and dramatiq
Create and deploy a reliable data ingestion service with FastAPI, SQLModel and Dramatiq This is the source code for the data ingestion service explain
Kedro is an open-source Python framework for creating reproducible, maintainable and modular data science code
A Python framework for creating reproducible, maintainable and modular data science code.
Collection of useful (to me) python scripts for interacting with napari
Napari scripts A collection of napari related tools in various state of disrepair/functionality. Browse_LIF_widget.py This module can be imported, for
Code and data for "Broaden the Vision: Geo-Diverse Visual Commonsense Reasoning" (EMNLP 2021).
GD-VCR Code for Broaden the Vision: Geo-Diverse Visual Commonsense Reasoning (EMNLP 2021). Research Questions and Aims: How well can a model perform o
A simple script & container to pull COVID data from covidlive.com.au and post a summary to a slack channel
CovidLive AU Summary Slackbot This bot is a very simple slackbot that pulls data, summarises and posts up to date AU COVID stats to a provided slack c
Related resources for our EMNLP 2021 paper Plan-then-Generate: Controlled Data-to-Text Generation via Planning
Plan-then-Generate: Controlled Data-to-Text Generation via Planning Authors: Yixuan Su, David Vandyke, Sihui Wang, Yimai Fang, and Nigel Collier Code
A visualization of people a user follows on Twitter
Twitter-Map This software allows the user to create maps of Twitter accounts. Installation git clone [email protected]:OGreenwood672/Twitter-Map.git cd T
DYA ( Ditch YouTube API ) is a package created to power the user with YouTube Data API functionality without any API Key
Ditch YouTubeAPI (BETA) DYA ( Ditch YouTube API ) is a package created to power the user with YouTube Data API functionality without any API Key Detai
Using Python to scrape some basic player information from www.premierleague.com and then use Pandas to analyse said data.
PremiershipPlayerAnalysis Using Python to scrape some basic player information from www.premierleague.com and then use Pandas to analyse said data. No