7047 Repositories
Python learning-with-limited-labeled-data Libraries
Final project for machine learning (CSC 590). Detection of hepatitis C and progression through blood samples.
Hepatitis C Blood Based Detection Final project for machine learning (CSC 590). Dataset from Kaggle. Using data from previous hepatitis C blood panels
A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.
2021: A Year Full of Amazing AI papers- A Review 📌 A curated list of the latest breakthroughs in AI by release date with a clear video explanation, l
An extensive UI tool built using new data scraped from BBC News
BBC-News-Analyzer An extensive UI tool built using new data scraped from BBC New
Learning and experimenting with Kubernetes
Kubernetes Experiments This repository contains code that I'm using to learn and experiment with Kubernetes. 1. Environment setup minikube kubectl doc
Micro Data Lake based on Docker Compose
Micro Data Lake based on Docker Compose This is the implementation of a Minimum Data Lake
All-in-one web-based development environment for machine learning
All-in-one web-based development environment for machine learning Getting Started • Features & Screenshots • Support • Report a Bug • FAQ • Known Issu
Data portal client and server for NMDC.
NMDC Server and Client Portal Getting started with Docker install ldc install submodules via git submodule update --init --recursive In order to popul
Python Moonlight (Machine Learning) Practice
PyML Python Moonlight (Machine Learning) Practice Contents Design Documentation Prerequisites Checklist Dev Setup Testing Run Prerequisites Python 3 P
A simple web to serve data table. It is built with Vuetify, Vue, FastApi.
simple-report-data-table-vuetify A simple web to serve data table. It is built with Vuetify, Vue, FastApi. The main features: RBAC with casbin simple
Online learning platform
🛠 Status: In Development Teached is currently in development. So we encourage you to use it and give us your feedback, but there are things that have
Implementation of Memory-Efficient Neural Networks with Multi-Level Generation, ICCV 2021
Memory-Efficient Multi-Level In-Situ Generation (MLG) By Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Mingjie Liu, Zixuan Jiang, Ray T. Chen and David Z. Pan
Machine Learning Course Project, IMDB movie review sentiment analysis by lstm, cnn, and transformer
IMDB Sentiment Analysis This is the final project of Machine Learning Courses in Huazhong University of Science and Technology, School of Artificial I
Tools, guides, and resources for blockchain analysts to interface with data on the Ergo platform.
Ergo Intelligence Objective Provide a suite of easy-to-use toolkits, guides, and resources for blockchain analysts and data scientists to quickly unde
Hub is a dataset format with a simple API for creating, storing, and collaborating on AI datasets of any size.
Hub is a dataset format with a simple API for creating, storing, and collaborating on AI datasets of any size. The hub data layout enables rapid transformations and streaming of data while training models at scale. Hub is used by Google, Waymo, Red Cross, Oxford University, and Omdena.
Simple and Robust Loss Design for Multi-Label Learning with Missing Labels
Simple and Robust Loss Design for Multi-Label Learning with Missing Labels Official PyTorch Implementation of the paper Simple and Robust Loss Design
Lecture materials for Cornell CS5785 Applied Machine Learning (Fall 2021)
Applied Machine Learning (Cornell CS5785, Fall 2021) This repo contains executable course notes and slides for the Applied ML course at Cornell and Co
Breaking Shortcut: Exploring Fully Convolutional Cycle-Consistency for Video Correspondence Learning
Breaking Shortcut: Exploring Fully Convolutional Cycle-Consistency for Video Correspondence Learning Yansong Tang *, Zhenyu Jiang *, Zhenda Xie *, Yue
Utilize data analytics skills to solve real-world business problems using Humana’s big data
Humana-Mays-2021-HealthCare-Analytics-Case-Competition- The goal of the project is to utilize data analytics skills to solve real-world business probl
Data Model built using Logistic Regression Algorithm on Python.
Logistic-Regression Problem Statement: Your client is a retail banking institution. Term deposits are a major source of income for a bank. A term depo
Learning hierarchical attention for weakly-supervised chest X-ray abnormality localization and diagnosis
Hierarchical Attention Mining (HAM) for weakly-supervised abnormality localization This is the official PyTorch implementation for the HAM method. Pap
A simply dashboard to view commodities position data based on CFTC reports
commodities-dashboard A simply dashboard to view commodities position data based on CFTC reports This is a python project using Dash and plotly to con
A Python package to request and process seismic waveform data from Hi-net.
HinetPy is a Python package to simplify tedious data request, download and format conversion tasks related to NIED Hi-net. NIED Hi-net | Source Code |
🍋 A Python package to process food
Pyfood is a simple Python package to process food, in different languages. Pyfood's ambition is to be the go-to library to deal with food, recipes, on
Example GUI for Command line capable machine learning programs
Example GUI for Command line capable machine learning programs This is an example GUI made in PysimpleGUI and Tkinter, mainly for machine learning pro
Pytorch based library to rank predicted bounding boxes using text/image user's prompts.
pytorch_clip_bbox: Implementation of the CLIP guided bbox ranking for Object Detection. Pytorch based library to rank predicted bounding boxes using t
A repository to index and organize the latest machine learning courses found on YouTube.
📺 ML YouTube Courses At DAIR.AI we ❤️ open education. We are excited to share some of the best and most recent machine learning courses available on
ONNX Command-Line Toolbox
ONNX Command Line Toolbox Aims to improve your experience of investigating ONNX models. Use it like onnx infershape /path/to/model.onnx. (See the usag
A lightweight tool to get an AI Infrastructure Stack up in minutes not days.
K3ai will take care of setup K8s for You, deploy the AI tool of your choice and even run your code on it.
Deploy recommendation engines with Edge Computing
RecoEdge: Bringing Recommendations to the Edge A one stop solution to build your recommendation models, train them and, deploy them in a privacy prese
Tensor-Based Quantum Machine Learning
TensorLy_Quantum TensorLy-Quantum is a Python library for Tensor-Based Quantum Machine Learning that builds on top of TensorLy and PyTorch. Website: h
Sequence lineage information extracted from RKI sequence data repo
Pango lineage information for German SARS-CoV-2 sequences This repository contains a join of the metadata and pango lineage tables of all German SARS-
High accurate tool for automatic faces detection with landmarks
faces_detanator High accurate tool for automatic faces detection with landmarks. The library is based on public detectors with high accuracy (TinaFace
An automated program that helps customers of Pizza Palour place their pizza orders
PIzza_Order_Assistant Introduction An automated program that helps customers of Pizza Palour place their pizza orders. The program uses voice commands
PyTorch Implementation of PIXOR: Real-time 3D Object Detection from Point Clouds
PIXOR: Real-time 3D Object Detection from Point Clouds This is a custom implementation of the paper from Uber ATG using PyTorch 1.0. It represents the
Python Steganography data hiding in image
Python-Steganography Python Steganography data hiding in image data encryption and decryption im here you have to import stepic module 1.open CMD 2.ty
jiant is an NLP toolkit
🚨 Update 🚨 : As of 2021/10/17, the jiant project is no longer being actively maintained. This means there will be no plans to add new models, tasks,
Pandas and Spark DataFrame comparison for humans
DataComPy DataComPy is a package to compare two Pandas DataFrames. Originally started to be something of a replacement for SAS's PROC COMPARE for Pand
BisQue is a web-based platform designed to provide researchers with organizational and quantitative analysis tools for 5D image data. Users can extend BisQue by implementing containerized ML workflows.
Overview BisQue is a web-based platform specifically designed to provide researchers with organizational and quantitative analysis tools for up to 5D
Python package to transfer data in a fast, reliable, and packetized form.
pySerialTransfer Python package to transfer data in a fast, reliable, and packetized form.
Run python scripts and pass data between multiple python and node processes using this npm module
Run python scripts and pass data between multiple python and node processes using this npm module. process-communication has a event based architecture for interacting with python data and errors inside nodejs.
Python package for analyzing behavioral data for Brain Observatory: Visual Behavior
Allen Institute Visual Behavior Analysis package This repository contains code for analyzing behavioral data from the Allen Brain Observatory: Visual
Uses machine learning to scan the similarity of two texts
PlagiarismChecker Uses machine learning to scan the similarity of two documents. End Points: http://localhost:3000/register (create a/c) http://localh
A minimal implementation of face-detection models using flask, gunicorn, nginx, docker, and docker-compose
Face-Detection-flask-gunicorn-nginx-docker This is a simple implementation of dockerized face-detection restful-API implemented with flask, Nginx, and
Brownant is a web data extracting framework.
Brownant Brownant is a lightweight web data extracting framework. Who uses it? At the moment, dongxi.douban.com (a.k.a. Douban Dongxi) uses Brownant i
Neptune client library - integrate your Python scripts with Neptune
Lightweight experiment tracking tool for AI/ML individuals and teams. Fits any workflow. Neptune is a lightweight experiment logging/tracking tool tha
PYGA: Python Google Analytics (ga.js) - Data Collection API
PYGA: Python Google Analytics - Data Collection API pyga is an implementation of Google Analytics (ga.js) in Python; so that it can be used at server
A Lightweight NLP Data Loader for All Deep Learning Frameworks in Python
LineFlow: Framework-Agnostic NLP Data Loader in Python LineFlow is a simple text dataset loader for NLP deep learning tasks. LineFlow was designed to
Object-data mapper and advanced query manager for non relational databases
Object data mapper and advanced query manager for non relational databases. The data is owned by different, configurable back-end databases and it is
Spokestack is a library that allows a user to easily incorporate a voice interface into any Python application with a focus on embedded systems.
Welcome to Spokestack Python! This library is intended for developing voice interfaces in Python. This can include anything from Raspberry Pi applicat
A Pytorch Implementation of Source Data-free Domain Adaptation for a Faster R-CNN
A Pytorch Implementation of Source Data-free Domain Adaptation for a Faster R-CNN Please follow Faster R-CNN and DAF to complete the environment confi
A Pytorch Implementation of [Source data‐free domain adaptation of object detector through domain
A Pytorch Implementation of Source data‐free domain adaptation of object detector through domain‐specific perturbation Please follow Faster R-CNN and
Manage large and heterogeneous data spaces on the file system.
signac - simple data management The signac framework helps users manage and scale file-based workflows, facilitating data reuse, sharing, and reproduc
LynxKite: a complete graph data science platform for very large graphs and other datasets.
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.
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.
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
A flexible data historian based on InfluxDB, Grafana, MQTT and more. Free, open, simple.
Kotori Telemetry data acquisition and sensor networks for humans. Documentation: https://getkotori.org/ Source Code: https://github.com/daq-tools/koto
Terkin is a flexible data logger application for MicroPython and CPython environments.
Terkin Data logging for humans, written in MicroPython. Documentation: https://terkin.org/ Source Code: https://github.com/hiveeyes/terkin-datalogger
FauxFactory generates random data for your automated tests easily!
FauxFactory FauxFactory generates random data for your automated tests easily! There are times when you're writing tests for your application when you
Zen-Knit is a formal (PDF), informal (HTML) report generator for data analyst and data scientist who wants to use python.
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 network chess engine trained on Gary Kasparov's games.
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
Implemented four supervised learning Machine Learning algorithms from an algorithmic family called Classification and Regression Trees (CARTs), details see README_Report.
Official repository of the AAAI'2022 paper "Contrast and Generation Make BART a Good Dialogue Emotion Recognizer"
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
This application works with serial communication. Use a simple gui to send and receive serial data from arduino and control leds and motor direction
The reference baseline of final exam for XMU machine learning course
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 Electronic Health Records (EHR).
Continual Learning of Longitudinal Health Records Repo for reproducing the experiments in Continual Learning of Longitudinal Health Records (2021). Re
[PNAS2021] The neural architecture of language: Integrative modeling converges on predictive processing
The neural architecture of language: Integrative modeling converges on predictive processing Code accompanying the paper The neural architecture of la
Implementation of paper "Towards a Unified View of Parameter-Efficient Transfer Learning"
A Unified Framework for Parameter-Efficient Transfer Learning This is the official implementation of the paper: Towards a Unified View of Parameter-Ef
Implementation for Learning to Track with Object Permanence
Learning to Track with Object Permanence A video-based MOT approach capable of tracking through full occlusions: Learning to Track with Object Permane
Source code of SIGIR2021 Paper 'One Chatbot Per Person: Creating Personalized Chatbots based on Implicit Profiles'
DHAP Source code of SIGIR2021 Long Paper: One Chatbot Per Person: Creating Personalized Chatbots based on Implicit User Profiles . Preinstallation Fir
Weakly Supervised End-to-End Learning (NeurIPS 2021)
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
Spaghetti: an open-source Python library for the analysis of network-based spatial data
pysal/spaghetti SPAtial GrapHs: nETworks, Topology, & Inference Spaghetti is an open-source Python library for the analysis of network-based spatial d
Resources for teaching & learning practical data visualization with python.
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
Bringing sanity to world of messed-up data
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
A visualization tool to show a TensorFlow's graph like TensorBoard
tfgraphviz tfgraphviz is a module to visualize a TensorFlow's data flow graph like TensorBoard using Graphviz. tfgraphviz enables to provide a visuali
This library is a location of the LegacyLogger for PyTorch Lightning.
neptune-contrib Documentation See neptune-contrib documentation site Installation Get prerequisites python versions 3.5.6/3.6 are supported Install li
💀mummify: a version control tool for machine learning
mummify is a version control tool for machine learning. It's simple, fast, and designed for model prototyping.
An End-to-End Machine Learning Library to Optimize AUC (AUROC, AUPRC).
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
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
The code repository for "PyCIL: A Python Toolbox for Class-Incremental Learning" in PyTorch.
PyCIL: A Python Toolbox for Class-Incremental Learning Introduction • Methods Reproduced • Reproduced Results • How To Use • License • Acknowledgement
Data Structure With Python
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
Cisco IOS-XE Operations Program. Shows operational data using restconf and yang
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 is a Python library for creating interactive fiction as hyperlinked html.
Grimoire Grimoire is a Python library for creating interactive fiction as hyperlinked html. Installation pip install grimoire-if Usage Check out the
Coronavirus whatsapp chatbot to give real time info on covid
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)
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
Create Data & AI apps in 20 lines of code with Shimoku
Install with: pip install shimoku-api-python Start with: from os import getenv import shimoku_api_python.client as Shimoku
Codes for the paper Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Background Mixing
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
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
Code for the paper: Adversarial Machine Learning: Bayesian Perspectives This repository contains code for reproducing the experiments in the ** Advers
A websocket client for Source Filmmaker intended to trasmit scene and frame data to other applications.
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
Final project code: Implementing BicycleGAN, for CIS680 FA21 at University of Pennsylvania
680 Final Project: BicycleGAN Haoran Tang Instructions 1. Training To train the network, please run train.py. Change hyper-parameters and folder paths
Final project code: Implementing MAE with downscaled encoders and datasets, for ESE546 FA21 at University of Pennsylvania
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
DataRisk Detection Learning Resources Data security: Based on the "data-centric security system" position, it generally refers to the entire security
Program Input Data Mahasiswa Oop
PROGRAM INPUT NILAI MAHASISWA MENGGUNAKAN OOP PENGERTIAN OOP object-oriented-programing/OOP adalah paradigma pemrograman berdasarkan konsep "objek", y
BioThings API framework - Making high-performance API for biological annotation data
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
A web-based app that allows easy, simple - and if desired high-throughput - analysis of qPCR data
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
Typing Game : from nob to good
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 (
Example Code Notebooks for Data Visualization in Python
This repository contains sample code scripts for creating awesome data visualizations from scratch using different python libraries (such as matplotli
Python package for the analysis and visualisation of finite-difference fields.
discretisedfield Marijan Beg1,2, Martin Lang2, Samuel Holt3, Ryan A. Pepper4, Hans Fangohr2,5,6 1 Department of Earth Science and Engineering, Imperia
SIR model parameter estimation using a novel algorithm for differentiated uniformization.
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
VolumeGAN - 3D-aware Image Synthesis via Learning Structural and Textural Representations 3D-aware Image Synthesis via Learning Structural and Textura