Python Does-MAML-Only-Work-via-Feature-Re-use-A-Data-Set-Centric-Perspective Resources

Token Grabber A simple Discord token grabber with base64 webhook encoding, it uses pastebin as a database to get webhook, so next time u dont get your

NYU-VPR This repository provides the experiment code for the paper Long-Term Visual Place Recognition Benchmark with View Direction and Data Anonymiza

Fast and Easy-to-use Distributed Graph Learning for PyTorch Geometric

Python Discord Bot Template This repository is a template that everyone can use for the start of their discord bot. When I first started creating my d

Seaflowpy A Python package for SeaFlow flow cytometer data. Table of Contents Install Read EVT/OPP/VCT Files Command-line Interface Configuration Inte

Python Snippet Tool A tool to get Python and data science snippets at Data Science Simplified on the command line. You can read my article to learn ho

Splitgraph Overview Splitgraph is a tool for building, versioning and querying reproducible datasets. It's inspired by Docker and Git, so it feels fam

PIGIT A terminal tool for git. When we use git, do you feel very uncomfortable with too long commands. For example: git status --short, this project c

TAug :: Time Series Data Augmentation using Deep Generative Models Note!!! The package is under development so be careful for using in production! Fea

This python code will get requests from SET (The Stock Exchange of Thailand) a previously-close stock price and return it in Thai Baht currency using beautiful soup 4 HTML scrapper.

HHparser Description Program for finding work at HeadHunter service Features Find job Parse vacancies Dependencies python pip geckodriver firefox Inst

Deep Illuminator Deep Illuminator is a data augmentation tool designed for image relighting. It can be used to easily and efficiently generate a wide

SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data Au

Finding Regions of Heterogeneity in Decision-Making via Expected Conditional Covariance Justin Lim, Christina X Ji, Michael Oberst, Saul Blecker, Leor

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

USSBriefs2021 This provides the R code and data to replicate results in "The USS Trustee’s risky strategy" by Neil M Davies, Jackie Grant and Chin Yan

MosaicKD Code for NeurIPS-21 paper "Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data" 1. Motivation Natural images share common l

1. SaWDE.m is the main function 2. DataPartition.m is used to randomly partition the original data into training sets and test sets with a ratio of 7

L2ight is a closed-loop ONN on-chip learning framework to enable scalable ONN mapping and efficient in-situ learning. L2ight adopts a three-stage learning flow that first calibrates the complicated photonic circuit states under challenging physical constraints, then performs photonic core mapping via combined analytical solving and zeroth-order optimization.

Code Scripts and Processing Files for EEG Sleep Staging Paper 1. Folder Tree ./src_preprocess (data preprocessing files for SHHS and Sleep EDF) sleepE

BalancingGroups Code to replicate the experimental results from Simple data balancing baselines achieve competitive worst-group-accuracy. Replicating

IP-IRM [NeurIPS 2021] The PyTorch implementation of paper "Self-Supervised Learning Disentangled Group Representation as Feature". Codes will be relea

SimplEx - Explaining Latent Representations with a Corpus of Examples Code Author: Jonathan Crabbé ([email protected]) This repository contains the imp

NCAE_UAD Official project repository of 'Normality-Calibrated Autoencoder for Unsupervised Anomaly Detection on Data Contamination' Abstract In this p

ColossalAI An integrated large-scale model training system with efficient parallelization techniques. arXiv: Colossal-AI: A Unified Deep Learning Syst

Datenvisualisierung-Elektromagnetischen-Spektrum Anhand des Moduls matplotlib sollen die Daten des elektromagnetischen Spektrums dargestellt werden. D

Python Function to manage users via SCIM This script helps you to manage your v2 users. You can add and delete users or groups, add users to groups an

Beehive A framework for feature exploration in Data Science Background What do we do when we finish one episode of feature exploration in a jupyter no

Brawl Stars Proxy Experimental proxy for version 39.99 of Brawl Stars. It allows you to capture the packets being sent between the Brawl Stars client

Run standalone: Rename conf.yml.example to conf.yml Change block cli(Add your api_id and hash) Install requirements.txt Run python AlertManagerTG.py I

DWIPrep: A Robust Preprocessing Pipeline for dMRI Data DWIPrep is a robust and easy-to-use pipeline for preprocessing of diverse dMRI data. The transp

Synthetic-Data-Replica-for-Healthcare Description What is this? A tailored hands-on tutorial showing how to use Python to create synthetic data replic

MosaicKD Code for NeurIPS-21 paper "Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data" 1. Motivation Natural images share common l

pypinfo: View PyPI download statistics with ease. pypinfo is a simple CLI to access PyPI download statistics via Google's BigQuery. Installation pypin

🤖 rover Rover is a command line interface application that allows through browse through mission data, images, metadata from the NASA Official Websit

Video Matting via Consistency-Regularized Graph Neural Networks Project Page | Real Data | Paper Installation Our code has been tested on Python 3.7,

PubTables-1M This repository contains training and evaluation code for the paper "PubTables-1M: Towards a universal dataset and metrics for training a

RCNet: Reverse Feature Pyramid and Cross-scale Shift Network for Object Detection (ACM MM'21) By Zhuofan Zong, Qianggang Cao, Biao Leng Introduction F

Spatial Interpolation Toolbox This is the home to Spatial Interpolation Toolbox, a graphical user interface (GUI) for interpolating geographic vector

Make Better Defaults Author: Kjell Wooding [email protected] This is the git repo for Makefiles: One great trick for making your conda environments mo

🧠 kendrite A framework for attentive explainable deep learning on tabular data 💨 Quick start kedro run 🧱 Built upon Technology Description Links ke

Towhee is a flexible machine learning framework currently focused on computing deep learning embeddings over unstructured data.

Albumentations Albumentations is a Python library for image augmentation. Image augmentation is used in deep learning and computer vision tasks to inc

Cut-Thumbnail (Accepted at ACM MULTIMEDIA 2021) Tianshu Xie, Xuan Cheng, Xiaomin Wang, Minghui Liu, Jiali Deng, Tao Zhou, Ming Liu This is the officia

Open-set Label Noise Can Improve Robustness Against Inherent Label Noise NeurIPS 2021: This repository is the official implementation of ODNL. Require

Bundles This repository is just an example of how we can host Git bundles in a way that supports fetching data from precomputed bundles without the or

Overview Set up recurring buys in Gemini. Given some keys (Create API Keys), allows you to configure a recurring buy using the reduced API maker and t

ColossalAI An integrated large-scale model training system with efficient parallelization techniques Installation PyPI pip install colossalai Install

python-is-cool A gentle guide to the Python features that I didn't know existed or was too afraid to use. This will be updated as I learn more and bec

SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data Au

BalancingGroups Code to replicate the experimental results from Simple data balancing baselines achieve competitive worst-group-accuracy. Replicating

kNN-vs-RFR My project contrasts K-Nearest Neighbors and Random Forrest Regressors on Real World data In many areas, rental bikes have been launched to

ycomp ycomp is a tool for working with Y-chromosome data from YFull and FTDNA. Run ycomp -h for information on how to use the program. Installation Th

K Means Algorithm What is K Means This algorithm is an iterative algorithm that partitions the dataset according to their features into K number of pr

Homework 2: Matplotlib and Data Visualization Overview These data visualizations were created for my introductory computer science course using Python

PyTorch framework A simple and complete framework for PyTorch, providing a variety of data loading and simple task solutions that are easy to extend and migrate

GitHub User Search Created using Python3 and git_api, coded by JBYT27. About This is a project I decided to make for Kajam, but I decided to choose a

We proposed a new approach to detect anomalies of mobile robot data. We investigate each data seperately with two clustering method hierarchical and k-means. There are two sub-method that we used for produce an anomaly score. Then, we merge these two score and produce merged anomaly score as a result.

EarthGAN - Earth Mantle Surrogate Modeling Can a surrogate model of the Earth’s Mantle Convection data set be built such that it can be readily run in

TriBERT This repository contains the code for the NeurIPS 2021 paper titled "TriBERT: Full-body Human-centric Audio-visual Representation Learning for

The HIST framework for stock trend forecasting The implementation of the paper "HIST: A Graph-based Framework for Stock Trend Forecasting via Mining C

FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective Official implementation of "FL-WBC: Enhan

Improving Transferability of Representations via Augmentation-Aware Self-Supervision Accepted to NeurIPS 2021 TL;DR: Learning augmentation-aware infor

Data Structure and Algorithm : Want to learn data strutrues and algorithms ??? Then Stop thinking more and start to learn today. This repo will help y

chalice-twitter-demo Demo to explain how to use AWS Chalice to connect to twitter API and change profile picture at scheduled times. Video Demo Click

Simple Selenium The aim of this package is to quickly get started with working with selenium for simple browser automation tasks. Installation Install

Exercise to teach a newcomer to the CLSP grid to set up their environment and run jobs

Data visualization using matplotlib project instructions Top 5 Most Common Coffee Origins In this visualization I used data from Ankur Chavda on Kaggl

Introduction This repository contains my unofficial reimplementation of the standard ECAPA-TDNN, which is the speaker recognition in VoxCeleb2 dataset

Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples This repository is the official implementation of paper [Qimera: Data-free Q

Leyna's Visualizing Data Below is information on the number of bilingual students in three school districts in Massachusetts. You will also find infor

HW_02 Data visualisation and Matplotlib practice Instructions for HW_02 Idea for data analysis As I was brainstorming ideas and running through databa

light-weight-depth-estimation Boosting Light-Weight Depth Estimation Via Knowledge Distillation, https://arxiv.org/abs/2105.06143 Junjie Hu, Chenyou F

The HIST framework for stock trend forecasting The implementation of the paper "HIST: A Graph-based Framework for Stock Trend Forecasting via Mining C

Rick and Morty Data Visualization For this project I looked at data for the TV show Rick and Morty Number of Episodes at a Certain Location Here is th

Keir's Visualizing Data on Life Expectancy Below is information on life expectancy in the United States from 1900-2017. You will also find information

Data Visualisations This is a small repository for me to implement my simply Data Visualisation skills through Python. Steam Population Chart from 10/

Auto-Research A no-code utility to generate a detailed well-cited survey with topic clustered sections (draft paper format) and other interesting arti

Flask REST API Python 3.9.7 The Flask experience, without data persistence :D First, to install all dependencies: python -m pip install -r requirement

Data Visualizations These data visualizations were created as homework for my CS40 class. I hope you enjoy! Nobel Laureates by their Country of Birth

Matplotlib Snippets This repository contains a set of matplotlib operations that are not trivial. Histograms Histogram with bins adapted to log scale

Phantom Selfbot A selfbot made in DPY, made by Zenith. How to use Add your token in token = 'YOUR-MOMS-TOKEN-HERE' Change the prefix in prefix = If

geospatial-data-analysis [readme] Use this code in your Python IDE or notebook to generate a basic Kepler.gl data visualization, without pre-configura

Homework 2: Matplotlib and Data Visualization Overview These data visualizations were created for my introductory computer science course using Python

cave-vin Site de gestion de cave à vin utilisant une bdd manipulée avec MySQL ACCEDER AU SITE : Pour accéder à votre cave vous aurez besoin de lancer

handwritten-digits-recognition A script that trains a model to recognize handwritten digits using the MNIST data set. Then it loads external files and

Multi-Domain Incremental Learning for Semantic Segmentation This is the Pytorch implementation of our work "Multi-Domain Incremental Learning for Sema

trimodal_person_verification This repository contains the code, and preprocessed dataset featured in "A Study of Multimodal Person Verification Using

es-imagenet-master code for generating data set ES-ImageNet with corresponding training code dataset generator some codes of ODG algorithm The variabl

Revealing unforeseen diagnostic image features with deep learning by detecting cardiovascular diseases from apical four-chamber ultrasounds The why Im

CoProtector Code for the prototype tool in our paper "CoProtector: Protect Open-Source Code against Unauthorized Training Usage with Data Poisoning".

DECAF (DEbiasing CAusal Fairness) Code Author: Trent Kyono This repository contains the code used for the "DECAF: Generating Fair Synthetic Data Using

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

jax-multi-gpu-resnet50-example This repo shows how to use jax for multi-node multi-GPU training. The example is adapted from the resnet50 example in d

CoProtector Code for the prototype tool in our paper "CoProtector: Protect Open-Source Code against Unauthorized Training Usage with Data Poisoning".

How Tight Can PAC-Bayes be in the Small Data Regime? This is the code to reproduce all experiments for the following paper: @inproceedings{Foong:2021:

Use the generator for the range function! installation method: pip install yrange How to use: First import yrange in your application. You can then wo

Use Jax functions in Pytorch with DLPack

This bug doesn’t exist on x86: Exploiting an ARM-only race condition How to exploit a double free and get a shell. "Use-After-Free for dummies" In thi

CodingSimplified_GK This repository is aimed at creating a One stop Destination of codes of all Data structures and Algorithms along with basic explai