Python Data-efficient-learning Resources

LynxKite is a complete graph data science platform for very large graphs and other datasets. It seamlessly combines the benefits of a friendly graphical interface and a powerful Python API.

PatZilla is a modular patent information research platform and data integration toolkit with a modern user interface and access to multiple data sources.

Picka: A Python module for data generation and randomization. Author: Anthony Long Version: 1.0.1 - Fixed the broken image stuff. Whoops What is Picka

Kotori Telemetry data acquisition and sensor networks for humans. Documentation: https://getkotori.org/ Source Code: https://github.com/daq-tools/koto

Terkin Data logging for humans, written in MicroPython. Documentation: https://terkin.org/ Source Code: https://github.com/hiveeyes/terkin-datalogger

FauxFactory FauxFactory generates random data for your automated tests easily! There are times when you're writing tests for your application when you

About Zen-Knit: Zen-Knit is a formal (PDF), informal (HTML) report generator for data analyst and data scientist who wants to use python. Inspired fro

Neural Chess It's not the best chess engine, but it is a chess engine. Proof of concept neural network chess engine (feed-forward multi-layer perceptr

Implemented four supervised learning Machine Learning algorithms from an algorithmic family called Classification and Regression Trees (CARTs), details see README_Report.

CoG-BART Contrast and Generation Make BART a Good Dialogue Emotion Recognizer Quick Start: To run the model on test sets of four datasets, Download th

This application works with serial communication. Use a simple gui to send and receive serial data from arduino and control leds and motor direction

Mini-NICO Baseline The baseline is a reference method for the final exam of machine learning course. Requirements Installation we use /python3.7 /torc

Continual Learning of Longitudinal Health Records Repo for reproducing the experiments in Continual Learning of Longitudinal Health Records (2021). Re

The neural architecture of language: Integrative modeling converges on predictive processing Code accompanying the paper The neural architecture of la

A Unified Framework for Parameter-Efficient Transfer Learning This is the official implementation of the paper: Towards a Unified View of Parameter-Ef

Learning to Track with Object Permanence A video-based MOT approach capable of tracking through full occlusions: Learning to Track with Object Permane

DHAP Source code of SIGIR2021 Long Paper: One Chatbot Per Person: Creating Personalized Chatbots based on Implicit User Profiles . Preinstallation Fir

WeaSEL: Weakly Supervised End-to-end Learning This is a PyTorch-Lightning-based framework, based on our End-to-End Weak Supervision paper (NeurIPS 202

pysal/spaghetti SPAtial GrapHs: nETworks, Topology, & Inference Spaghetti is an open-source Python library for the analysis of network-based spatial d

Practical Data Visualization with Python Overview All views expressed on this site are my own and do not represent the opinions of any entity with whi

Sanitize sanitize is a Python module for making sure various things (e.g. HTML) are safe to use. It was originally written by Mark Pilgrim and is dist

tfgraphviz tfgraphviz is a module to visualize a TensorFlow's data flow graph like TensorBoard using Graphviz. tfgraphviz enables to provide a visuali

neptune-contrib Documentation See neptune-contrib documentation site Installation Get prerequisites python versions 3.5.6/3.6 are supported Install li

mummify is a version control tool for machine learning. It's simple, fast, and designed for model prototyping.

Logo by Zhuoning Yuan LibAUC: A Machine Learning Library for AUC Optimization Website | Updates | Installation | Tutorial | Research | Github LibAUC a

PyTea: PyTorch Tensor Shape Error Analyzer paper project page Requirements node.js = 12.x python = 3.8 z3-solver = 4.8 How to install and use # ins

PyCIL: A Python Toolbox for Class-Incremental Learning Introduction • Methods Reproduced • Reproduced Results • How To Use • License • Acknowledgement

Data-Structure-With-Python- Python programs also include in this repo Stack A stack is a linear data structure that stores items in a Last-In/First-Ou

XE-Ops View operational and config data from devices running Cisco IOS-XE software. NoteS The build folder is the latest build. All other files are fo

Grimoire Grimoire is a Python library for creating interactive fiction as hyperlinked html. Installation pip install grimoire-if Usage Check out the

Covy Developed a coronavirus whatsapp chatbot which gives case counts in a particular district, city, state or country. It also predicts future cases

ttslearn: Library for Pythonで学ぶ音声合成 (Text-to-speech with Python) 日本語は以下に続きます (Japanese follows) English: This book is written in Japanese and primaril

Install with: pip install shimoku-api-python Start with: from os import getenv import shimoku_api_python.client as Shimoku

Contrast and Mix (CoMix) The repository contains the codes for the paper Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Backgroun

Learning Domain Invariant Representations in Goal-conditioned Block MDPs Beining Han, Chongyi Zheng, Harris Chan, Keiran Paster, Michael R. Zhang, Jim

Code for the paper: Adversarial Machine Learning: Bayesian Perspectives This repository contains code for reproducing the experiments in the ** Advers

SFM SOCK A websocket client for Source Filmmaker intended to trasmit scene and frame data to other applications. This software can be used to transmit

680 Final Project: BicycleGAN Haoran Tang Instructions 1. Training To train the network, please run train.py. Change hyper-parameters and folder paths

546 Final Project: Masked Autoencoder Haoran Tang, Qirui Wu 1. Training To train the network, please run mae_pretraining.py. Please modify folder path

DataRisk Detection Learning Resources Data security: Based on the "data-centric security system" position, it generally refers to the entire security

PROGRAM INPUT NILAI MAHASISWA MENGGUNAKAN OOP PENGERTIAN OOP object-oriented-programing/OOP adalah paradigma pemrograman berdasarkan konsep "objek", y

BioThings SDK Quick Summary BioThings SDK provides a Python-based toolkit to build high-performance data APIs (or web services) from a single data sou

qpcr-Analyser A web-based GUI for the qpcr package that allows easy, simple and high-throughput analysis of qPCR data. As is described in more detail

Fast and Curious A game to learn/improve keyboard typing skills. The main idea is to improve your typing skills and at the same time learn fun facts (

This repository contains sample code scripts for creating awesome data visualizations from scratch using different python libraries (such as matplotli

discretisedfield Marijan Beg1,2, Martin Lang2, Samuel Holt3, Ryan A. Pepper4, Hans Fangohr2,5,6 1 Department of Earth Science and Engineering, Imperia

TenSIR Parameter estimation on epidemic data under the SIR model using a novel algorithm for differentiated uniformization of Markov transition rate m

VolumeGAN - 3D-aware Image Synthesis via Learning Structural and Textural Representations 3D-aware Image Synthesis via Learning Structural and Textura

Reinforcement Learning via Supervised Learning Installation Run pip install -e . in an environment with Python = 3.7.0, 3.9. The code depends on MuJ

Cross-framework Python Package for Evaluation of Latent-based Generative Models Latte Latte (for LATent Tensor Evaluation) is a cross-framework Python

Semantic correspondence Few-shot segmentation Cost Aggregation Is All You Need for Few-Shot Segmentation For more information, check out project [Proj

Data Extractor Combine XPath, CSS Selectors and JSONPath for Web data extracting. Quickstarts Installation Install the stable version from PYPI. pip i

JSONPATH A selector expression for extracting data from JSON. Quickstarts Installation Install the stable version from PYPI. pip install jsonpath-extr

ElasticBatch Elasticsearch buffer for collecting and batch inserting Python data and pandas DataFrames Overview ElasticBatch makes it easy to efficien

HotBits Python API Python API for HotBits random data generator. Description This project is random data generator. It uses is HotBits API web service

Redash is designed to enable anyone, regardless of the level of technical sophistication, to harness the power of data big and small. SQL users levera

Neural Enhance Example #1 — Old Station: view comparison in 24-bit HD, original photo CC-BY-SA @siv-athens. As seen on TV! What if you could increase

BONITA-Python3 BONITA was originally written in Python 2 and tested with Python 2-compatible packages. This version of the packages ports BONITA to Py

Prompt-Tuning Implementation of "The Power of Scale for Parameter-Efficient Prompt Tuning" Currently, we support the following huggigface models: Bart

Sieve Video Data Collection Example Find samples that are interesting within hours of raw video, for free and completely automatically using Sieve API

opencv-projects-python This repo contains both several opencv projects done while learning opencv by python and opencv learning resources [Basic conce

MOSNet pytorch implementation of "MOSNet: Deep Learning based Objective Assessment for Voice Conversion" https://arxiv.org/abs/1904.08352 Dependency L

RLHive is a framework designed to facilitate research in reinforcement learning. It provides the components necessary to run a full RL experiment, for both single agent and multi agent environments. It is designed to be readable and easily extensible, to allow users to quickly run and experiment with their own ideas.

Awesome Curriculum Learning Some bravo or inspiring research works on the topic of curriculum learning. A curated list of awesome Curriculum Learning

Curriculum Learning by Optimizing Learning Dynamics (DoCL) AISTATS 2021 paper: Title: Curriculum Learning by Optimizing Learning Dynamics [pdf] [appen

TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL Paper Website Documentation TeachMyAgent is a testbed platform for Automatic Cu

Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement Learning This is the code for implementing the MADDPG algorithm presented in

DMT: Dynamic Mutual Training for Semi-Supervised Learning This repository contains the code for our paper DMT: Dynamic Mutual Training for Semi-Superv

Self-paced Contrastive Learning (SpCL) The official repository for Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID

Open Compound Domain Adaptation [Project] [Paper] [Demo] [Blog] Overview Open Compound Domain Adaptation (OCDA) is the author's re-implementation of t

Breaking the Curse of Space Explosion: Towards Effcient NAS with Curriculum Search Pytorch implementation for "Breaking the Curse of Space Explosion:

Learning to Teach with Dynamic Loss Functions This repo contains the simple demo for the NeurIPS-18 paper: Learning to Teach with Dynamic Loss Functio

CurriculumNet Introduction This repo contains related code and models from the ECCV 2018 CurriculumNet paper. CurriculumNet is a new training strategy

MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks This is the code for the paper: MentorNet: Learning Data-Driven Curriculum fo

AdaptationSeg This is the Python reference implementation of AdaptionSeg proposed in "Curriculum Domain Adaptation for Semantic Segmentation of Urban

Curriculum Dropout Dropout is a very effective way of regularizing neural networks. Stochastically "dropping out" units with a certain probability dis

doccano doccano is an open source text annotation tool for humans. It provides annotation features for text classification, sequence labeling and sequ

AKShare is an elegant and simple financial data interface library for Python, built for human beings

growth-data Tools and data for measuring the popularity & growth of various programming languages. Install the dependencies $ pip install -r requireme

Population Shift Monitoring popmon is a package that allows one to check the stability of a dataset. popmon works with both pandas and spark datasets.

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

PersonLab This is a Keras implementation of PersonLab for Multi-Person Pose Estimation and Instance Segmentation. The model predicts heatmaps and vari

Super-SloMo PyTorch implementation of "Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation" by Jiang H., Sun

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.

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

NNHedge NNHedge is a PyTorch based framework for Neural Derivative Hedging. The following repository was implemented to ease the experiments of our pa

NetKet NetKet is an open-source project delivering cutting-edge methods for the study of many-body quantum systems with artificial neural networks and

StyleSwin This repo is the official implementation of "StyleSwin: Transformer-based GAN for High-resolution Image Generation". By Bowen Zhang, Shuyang

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.

Semantically Contrastive Learning for Low-light Image Enhancement Here, we propose an effective semantically contrastive learning paradigm for Low-lig

Source code of the paper "Deep Learning of Latent Variable Models for Industrial Process Monitoring".

Mutual Contrastive Learning for Visual Representation Learning This project provides source code for our Mutual Contrastive Learning for Visual Repres

Global-Wheat-Detection An efficient PyTorch library for Global Wheat Detection using YOLOv5. The project is based on this Kaggle competition Global Wh

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