2116 Repositories
Python machine-ethics Libraries
An easy-to-use federated learning platform
FederatedScope is a comprehensive federated learning platform that provides convenient usage and flexible customization for various federated learning
Official code for our CVPR '22 paper "Dataset Distillation by Matching Training Trajectories"
Dataset Distillation by Matching Training Trajectories Project Page | Paper This repo contains code for training expert trajectories and distilling sy
Open-Source CI/CD platform for ML teams. Deliver ML products, better & faster. ⚡️🧑🔧
Deliver ML products, better & faster Giskard is an Open-Source CI/CD platform for ML teams. Inspect ML models visually from your Python notebook 📗 Re
Lyrics generation with GPT2-based Transformer
HuggingArtists - Train a model to generate lyrics Create AI-Artist in just 5 minutes! 🚀 Run the demo notebook to train 🚀 Run the GUI demo to test Di
Practical and Real-world applications of ML based on the homework of Hung-yi Lee Machine Learning Course 2021
Machine Learning Theory and Application Overview This repository is inspired by the Hung-yi Lee Machine Learning Course 2021. In that course, professo
Forecasting for knowable future events using Bayesian informative priors (forecasting with judgmental-adjustment).
What is judgyprophet? judgyprophet is a Bayesian forecasting algorithm based on Prophet, that enables forecasting while using information known by the
Second Order Optimization and Curvature Estimation with K-FAC in JAX.
KFAC-JAX - Second Order Optimization with Approximate Curvature in JAX Installation | Quickstart | Documentation | Examples | Citing KFAC-JAX KFAC-JAX
[ACL 2022] LinkBERT: A Knowledgeable Language Model 😎 Pretrained with Document Links
LinkBERT: A Knowledgeable Language Model Pretrained with Document Links This repo provides the model, code & data of our paper: LinkBERT: Pretraining
Lightning ⚡️ fast forecasting with statistical and econometric models.
Nixtla Statistical ⚡️ Forecast Lightning fast forecasting with statistical and econometric models StatsForecast offers a collection of widely used uni
maximal update parametrization (µP)
Maximal Update Parametrization (μP) and Hyperparameter Transfer (μTransfer) Paper link | Blog link In Tensor Programs V: Tuning Large Neural Networks
This repository contains the best Data Science free hand-picked resources to equip you with all the industry-driven skills and interview preparation kit.
Best Data Science Resources Hey, Data Enthusiasts out there! Finally, after lots of requests from the community I finally came up with the best free D
Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud
Google Cloud Vertex AI Samples Welcome to the Google Cloud Vertex AI sample repository. Overview The repository contains notebooks and community conte
Example notebooks for working with SageMaker Studio Lab. Sign up for an account at the link below!
SageMaker Studio Lab Sample Notebooks Available today in public preview. If you are looking for a no-cost compute environment to run Jupyter notebooks
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Machine Learning Notebooks, 3rd edition This project aims at teaching you the fundamentals of Machine Learning in python. It contains the example code
Easy-to-use library to boost AI inference leveraging state-of-the-art optimization techniques.
NEW RELEASE How Nebullvm Works • Tutorials • Benchmarks • Installation • Get Started • Optimization Examples Discord | Website | LinkedIn | Twitter Ne
Code for testing various M1 Chip benchmarks with TensorFlow.
M1, M1 Pro, M1 Max Machine Learning Speed Test Comparison This repo contains some sample code to benchmark the new M1 MacBooks (M1 Pro and M1 Max) aga
[Machine Learning Engineer Basic Guide] 부스트캠프 AI Tech - Product Serving 자료
Boostcamp-AI-Tech-Product-Serving 부스트캠프 AI Tech - Product Serving 자료 Repository 구조 part1(MLOps 개론, Model Serving, 머신러닝 프로젝트 라이프 사이클은 별도의 코드가 없으며, part
HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision
HugsVision is an open-source and easy to use all-in-one huggingface wrapper for computer vision. The goal is to create a fast, flexible and user-frien
🤗🖼️ HuggingPics: Fine-tune Vision Transformers for anything using images found on the web.
🤗 🖼️ HuggingPics Fine-tune Vision Transformers for anything using images found on the web. Check out the video below for a walkthrough of this proje
This repository contains all the data analytics projects that I've worked on in python.
93_Python_Data_Analytics_Projects This repository contains all the data analytics projects that I've worked on in python. No. Name 01 001_Cervical_Can
Data stream analytics: Implement online learning methods to address concept drift in data streams using the River library. Code for the paper entitled "PWPAE: An Ensemble Framework for Concept Drift Adaptation in IoT Data Streams" accepted in IEEE GlobeCom 2021.
PWPAE-Concept-Drift-Detection-and-Adaptation This is the code for the paper entitled "PWPAE: An Ensemble Framework for Concept Drift Adaptation in IoT
🙌Kart of 210+ projects based on machine learning, deep learning, computer vision, natural language processing and all. Show your support by ✨ this repository.
ML-ProjectKart 📌 Repository This kart showcases the finest collection of all projects based on machine learning, deep learning, computer vision, natu
This repository contains implementations of all Machine Learning Algorithms from scratch in Python. Mathematics required for ML and many projects have also been included.
👏 Pre- requisites to Machine Learning
My Solutions to 120 commonly asked data science interview questions.
Data_Science_Interview_Questions Introduction 👋 Here are the answers to 120 Data Science Interview Questions The above answer some is modified based
Extracting Tables from Document Images using a Multi-stage Pipeline for Table Detection and Table Structure Recognition:
Multi-Type-TD-TSR Check it out on Source Code of our Paper: Multi-Type-TD-TSR Extracting Tables from Document Images using a Multi-stage Pipeline for
Face recognition system using MTCNN, FACENET, SVM and FAST API to track participants of Big Brother Brasil in real time.
BBB Face Recognizer Face recognition system using MTCNN, FACENET, SVM and FAST API to track participants of Big Brother Brasil in real time. Instalati
Sionna: An Open-Source Library for Next-Generation Physical Layer Research
Sionna: An Open-Source Library for Next-Generation Physical Layer Research Sionna™ is an open-source Python library for link-level simulations of digi
My course projects for the 2021 Spring Machine Learning course at the National Taiwan University (NTU)
ML2021Spring There are my projects for the 2021 Spring Machine Learning course at the National Taiwan University (NTU) Course Web : https://speech.ee.
This repository contains the DendroMap implementation for scalable and interactive exploration of image datasets in machine learning.
DendroMap DendroMap is an interactive tool to explore large-scale image datasets used for machine learning. A deep understanding of your data can be v
Building a real-time environment using webcam frame division in OpenCV and classify cropped images using a fine-tuned vision transformers on hybryd datasets samples for facial emotion recognition.
Visual Transformer for Facial Emotion Recognition (FER) This project has the aim to build an efficient Visual Transformer for the Facial Emotion Recog
Automatic number plate recognition using tech: Yolo, OCR, Scene text detection, scene text recognation, flask, torch
Automatic Number Plate Recognition Automatic Number Plate Recognition (ANPR) is the process of reading the characters on the plate with various optica
A lightweight yet powerful audio-to-MIDI converter with pitch bend detection
Basic Pitch is a Python library for Automatic Music Transcription (AMT), using lightweight neural network developed by Spotify's Audio Intelligence La
A machine learning malware analysis framework for Android apps.
🕵️ A machine learning malware analysis framework for Android apps. ☢️ DroidDetective is a Python tool for analysing Android applications (APKs) for p
PyPOTS - A Python Toolbox for Data Mining on Partially-Observed Time Series
A python toolbox/library for data mining on partially-observed time series, supporting tasks of forecasting/imputation/classification/clustering on incomplete multivariate time series with missing values.
Detecting silent model failure. NannyML estimates performance with an algorithm called Confidence-based Performance estimation (CBPE), developed by core contributors. It is the only open-source algorithm capable of fully capturing the impact of data drift on performance.
Website • Docs • Community Slack 💡 What is NannyML? NannyML is an open-source python library that allows you to estimate post-deployment model perfor
A Python library that enables ML teams to share, load, and transform data in a collaborative, flexible, and efficient way :chestnut:
Squirrel Core Share, load, and transform data in a collaborative, flexible, and efficient way What is Squirrel? Squirrel is a Python library that enab
TigerLily: Finding drug interactions in silico with the Graph.
Drug Interaction Prediction with Tigerlily Documentation | Example Notebook | Youtube Video | Project Report Tigerlily is a TigerGraph based system de
Ana's Portfolio
Ana's Portfolio ✌️ Welcome to my Portfolio! You will find here different Projects I have worked on (from scratch) 💪 Projects 💻 1️⃣ Hangman game (Mad
SentimentArcs: a large ensemble of dozens of sentiment analysis models to analyze emotion in text over time
SentimentArcs - Emotion in Text An end-to-end pipeline based on Jupyter notebooks to detect, extract, process and anlayze emotion over time in text. E
Can we do Customers Segmentation using PHP and Unsupervized Machine Learning ? Yes we can ! 🤡
Customers Segmentation using PHP and Rubix ML PHP Library Can we do Customers Segmentation using PHP and Unsupervized Machine Learning ? Yes we can !
Notebooks, slides and dataset of the CorrelAid Machine Learning Winter School
CorrelAid Machine Learning Spring School Welcome to the CorrelAid ML Spring School! In this repository you can find the slides and other files for the
Precision Medicine Knowledge Graph (PrimeKG)
PrimeKG Website | bioRxiv Paper | Harvard Dataverse Precision Medicine Knowledge Graph (PrimeKG) presents a holistic view of diseases. PrimeKG integra
[ICML 2022] The official implementation of Graph Stochastic Attention (GSAT).
Graph Stochastic Attention (GSAT) The official implementation of GSAT for our paper: Interpretable and Generalizable Graph Learning via Stochastic Att
ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.
ManimML ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.
Code for intrusion detection system (IDS) development using CNN models and transfer learning
Intrusion-Detection-System-Using-CNN-and-Transfer-Learning This is the code for the paper entitled "A Transfer Learning and Optimized CNN Based Intrus
ISNAS-DIP: Image Specific Neural Architecture Search for Deep Image Prior [CVPR 2022]
ISNAS-DIP: Image-Specific Neural Architecture Search for Deep Image Prior (CVPR 2022) Metin Ersin Arican*, Ozgur Kara*, Gustav Bredell, Ender Konukogl
DLO8012: Natural Language Processing & CSL804: Computational Lab - II Semester VIII
NATURAL-LANGUAGE-PROCESSING-AND-COMPUTATIONAL-LAB-II DLO8012: NLP & CSL804: CL-II [SEMESTER VIII] Syllabus NLP - Reference Books THE WALL MEGA SATISH
Resources complimenting the Machine Learning Course led in the Faculty of mathematics and informatics part of Sofia University.
Machine Learning and Data Mining, Summer 2021-2022 How to learn data science and machine learning? Programming. Learn Python. Basic Statistics. Take a
On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification
Understanding Bayesian Classification This repository hosts the code to reproduce the results presented in the paper On Uncertainty, Tempering, and Da
Using Machine Learning to Create High-Res Fine Art
BIG.art: Using Machine Learning to Create High-Res Fine Art How to use GLIDE and BSRGAN to create ultra-high-resolution paintings with fine details By
Responsible AI Workshop: a series of tutorials & walkthroughs to illustrate how put responsible AI into practice
Responsible AI Workshop Responsible innovation is top of mind. As such, the tech industry as well as a growing number of organizations of all kinds in
Privacy-Preserving Machine Learning (PPML) Tutorial Presented at PyConDE 2022
PPML: Machine Learning on Data you cannot see Repository for the tutorial on Privacy-Preserving Machine Learning (PPML) presented at PyConDE 2022 Abst
Resources for the AMLD 2022 workshop "DevOps on AWS"
MLOPS on AWS | AMLD 2022 This repository contains all the resources necessary to follow along and reproduce the workshop "MLOps on AWS: a Hands-On Tut
IEEE-WIE presents WIE Week of Code (WIEWoC), a 3-days long open-source contribution event starting from 1st March, highlighting different python spaces including web development, machine learning, game development, data structures and algorithms, and substantially more! We are creating an open source repository on Python along with all its applications!
WIE-WoC IEEE-WIE presents WIE Week of Code (WIEWoC), a 3-days long open-source contribution event starting from 1st March, highlighting different pyth
A toolkit for Lagrangian-based constrained optimization in Pytorch
Cooper About Cooper is a toolkit for Lagrangian-based constrained optimization in Pytorch. This library aims to encourage and facilitate the study of
Contains the code and data for our #ICSE2022 paper titled as "CodeFill: Multi-token Code Completion by Jointly Learning from Structure and Naming Sequences"
CodeFill This repository contains the code for our paper titled as "CodeFill: Multi-token Code Completion by Jointly Learning from Structure and Namin
Materials for upcoming beginner-friendly PyTorch course (work in progress).
Learn PyTorch for Deep Learning (work in progress) I'd like to learn PyTorch. So I'm going to use this repo to: Add what I've learned. Teach others in
Machine learning beginner to Kaggle competitor in 30 days. Non-coders welcome. The program starts Monday, August 2, and lasts four weeks. It's designed for people who want to learn machine learning.
30-Days-of-ML-Kaggle 🔥 About the Hands On Program 💻 Machine learning beginner → Kaggle competitor in 30 days. Non-coders welcome The program starts
AI Summer's complete catalog of articles
Learn Deep Learning with AI Summer A collection of all articles (almost 100) written for the AI Summer blog organized by topic. Deep Learning Theory M
1000+ ready code templates to kickstart your next AI experiment
AI Seed Projects Start with ready code for your next AI experiment. Choose from 1000+ code templates, across a wide variety of use cases. All examples
Statistics and Mathematics for Machine Learning, Deep Learning , Deep NLP
Stat4ML Statistics and Mathematics for Machine Learning, Deep Learning , Deep NLP This is the first course from our trio courses: Statistics Foundatio
Get started with Machine Learning with Python - An introduction with Python programming examples
Machine Learning With Python Get started with Machine Learning with Python An engaging introduction to Machine Learning with Python TL;DR Download all
A Python Library for Graph Outlier Detection (Anomaly Detection)
PyGOD is a Python library for graph outlier detection (anomaly detection). This exciting yet challenging field has many key applications, e.g., detect
🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects
Effective Testing for Machine Learning Projects Code for PyData Global 2021 Presentation by @edublancas. Slides available here. The project is develop
Repository for DCA0305, an undergraduate course about Machine Learning Workflows and Pipelines
Federal University of Rio Grande do Norte Technology Center Department of Computer Engineering and Automation Machine Learning Based Systems Design Re
Materials to reproduce our findings in our stories, "Amazon Puts Its Own 'Brands' First Above Better-Rated Products" and "When Amazon Takes the Buy Box, it Doesn’t Give it up"
Amazon Brands and Exclusives This repository contains code to reproduce the findings featured in our story "Amazon Puts Its Own 'Brands' First Above B
Implements VQGAN+CLIP for image and video generation, and style transfers, based on text and image prompts. Emphasis on ease-of-use, documentation, and smooth video creation.
VQGAN-CLIP-GENERATOR Overview This is a package (with available notebook) for running VQGAN+CLIP locally, with a focus on ease of use, good documentat
PyGCL: A PyTorch Library for Graph Contrastive Learning
PyGCL is a PyTorch-based open-source Graph Contrastive Learning (GCL) library, which features modularized GCL components from published papers, standa
ML powered analytics engine for outlier detection and root cause analysis.
Website • Docs • Blog • LinkedIn • Community Slack ML powered analytics engine for outlier detection and root cause analysis ✨ What is Chaos Genius? C
The Deep Learning with Julia book, using Flux.jl.
Deep Learning with Julia DL with Julia is a book about how to do various deep learning tasks using the Julia programming language and specifically the
Learn machine learning the fun way, with Oracle and RedBull Racing
Red Bull Racing Analytics Hands-On Labs Introduction Are you interested in learning machine learning (ML)? How about doing this in the context of the
Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (https://probabilistic.ai/)
ProbAI 2021 - Probabilistic Programming and Variational Inference Tutorial with Pryo Day 1 (June 14) Slides Notebook: students_PPLs_Intro Notebook: so
My coursework for Machine Learning (2021 Spring) at National Taiwan University (NTU)
Machine Learning 2021 Machine Learning (NTU EE 5184, Spring 2021) Instructor: Hung-yi Lee Course Website : (https://speech.ee.ntu.edu.tw/~hylee/ml/202
This is a repo of basic Machine Learning!
Basic Machine Learning This repository contains a topic-wise curated list of Machine Learning and Deep Learning tutorials, articles and other resource
Implementation of Basic Machine Learning Algorithms on small datasets using Scikit Learn.
Basic Machine Learning Algorithms All the basic Machine Learning Algorithms are implemented in Python using libraries Acknowledgements Machine Learnin
Research on Tabular Deep Learning (Python package & papers)
Research on Tabular Deep Learning For paper implementations, see the section "Papers and projects". rtdl is a PyTorch-based package providing a user-f
Programming assignments and quizzes from all courses within the Machine Learning Engineering for Production (MLOps) specialization offered by deeplearning.ai
Machine Learning Engineering for Production (MLOps) Specialization on Coursera (offered by deeplearning.ai) Programming assignments from all courses i
Hacktoberfest 2021 contribution repository✨
🎃 HacktoberFest-2021 🎃 Repository for Hacktoberfest Note: Although, We are actively focusing on Machine Learning, Data Science and Tricky Python pro
⚓ Eurybia monitor model drift over time and securize model deployment with data validation
View Demo · Documentation · Medium article 🔍 Overview Eurybia is a Python library which aims to help in : Detecting data drift and model drift Valida
As we all know the BGMI Loot Crate comes with so many resources for the gamers, this ML Crate will be the hub of various ML projects which will be the resources for the ML enthusiasts! Open Source Program: SWOC 2021 and JWOC 2022.
Machine Learning Loot Crate 💻 🧰 🔴 Welcome contributors! As we all know the BGMI Loot Crate comes with so many resources for the gamers, this ML Cra
A simple guide to MLOps through ZenML and its various integrations.
ZenBytes Join our Slack Community and become part of the ZenML family Give the main ZenML repo a GitHub star to show your love ZenBytes is a series of
Machine Learning powered app to decide whether a photo is food or not.
Food Not Food dot app ( 🍔 🚫 🍔 ) Code for building a machine Learning powered app to decide whether a photo is of food or not. See it working live a
Soomvaar is the repo which 🏩 contains different collection of 👨💻🚀code in Python and 💫✨Machine 👬🏼 learning algorithms📗📕 that is made during 📃 my practice and learning of ML and Python✨💥
Soomvaar 📌 Introduction Soomvaar is the collection of various codes implement in machine learning and machine learning algorithms with python on coll
Learn Data Science with focus on adding value with the most efficient tech stack.
DataScienceWithPython Get started with Data Science with Python An engaging journey to become a Data Scientist with Python TL;DR Download all Jupyter
Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, provides utilify facility for time-series signal similarities matching, and removing noise from timeseries signals.
DeepXF: Explainable Forecasting and Nowcasting with State-of-the-art Deep Neural Networks and Dynamic Factor Model Also, verify TS signal similarities
An end-to-end framework for mixed-integer optimization with data-driven learned constraints.
OptiCL OptiCL is an end-to-end framework for mixed-integer optimization (MIO) with data-driven learned constraints. We address a problem setting in wh
Data Inspector is an open-source python library that brings 15++ types of different functions to make EDA, data cleaning easier.
Data Inspector Data Inspector is an open-source python library that brings 15 types of different functions to make EDA, data cleaning easier. Author:
Official Repository for Machine Learning class - Physics Without Frontiers 2021
PWF 2021 Física Sin Fronteras es un proyecto del Centro Internacional de Física Teórica (ICTP) en Trieste Italia. El ICTP es un centro dedicado a fome
Multilingual Emotion classification using BERT (fine-tuning). Published at the WASSA workshop (ACL2022).
XLM-EMO: Multilingual Emotion Prediction in Social Media Text Abstract Detecting emotion in text allows social and computational scientists to study h
Official Implementation for the "An Empirical Investigation of 3D Anomaly Detection and Segmentation" paper.
An Empirical Investigation of 3D Anomaly Detection and Segmentation Project | Paper Official PyTorch Implementation for the "An Empirical Investigatio
End-to-end machine learning project for rices detection
Basmatinet Welcome to this project folks ! Whether you like it or not this project is all about riiiiice or riz in french. It is also about Deep Learn
[ICLR 2022] Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators
AMOS This repository contains the scripts for fine-tuning AMOS pretrained models on GLUE and SQuAD 2.0 benchmarks. Paper: Pretraining Text Encoders wi
😮The official implementation of "CoNeRF: Controllable Neural Radiance Fields" 😮
CoNeRF: Controllable Neural Radiance Fields This is the official implementation for "CoNeRF: Controllable Neural Radiance Fields" Project Page Paper V
A port of muP to JAX/Haiku
MUP for Haiku This is a (very preliminary) port of Yang and Hu et al.'s μP repo to Haiku and JAX. It's not feature complete, and I'm very open to sugg
Direct application of DALLE-2 to video synthesis, using factored space-time Unet and Transformers
DALLE2 Video (wip) ** only to be built after DALLE2 image is done and replicated, and the importance of the prior network is validated ** Direct appli
DeepGNN is a framework for training machine learning models on large scale graph data.
DeepGNN Overview DeepGNN is a framework for training machine learning models on large scale graph data. DeepGNN contains all the necessary features in
A library to inspect itermediate layers of PyTorch models.
A library to inspect itermediate layers of PyTorch models. Why? It's often the case that we want to inspect intermediate layers of a model without mod
A Flask Sentiment Analysis API, with visual implementation
The Sentiment Analysis Api was created using python flask module,it allows users to parse a text or sentence throught the (?text) arguement, then view the sentiment analysis of that sentence. It can be implementable into a web application.
Adansons Base is a data management tool that organizes metadata of unstructured data and creates and organizes datasets.
Adansons Base is a data management tool that organizes metadata of unstructured data and creates and organizes datasets. It makes dataset creation more effective and helps find essential insights from training results and improves AI performance.
This is an open source library implementing hyperbox-based machine learning algorithms
hyperbox-brain is a Python open source toolbox implementing hyperbox-based machine learning algorithms built on top of scikit-learn and is distributed