446 Open source projects that are alternatives of or similar to Karateclub

Implementing machine learning algorithms from scratch.

🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!

ML-AI Community | Open Source | Built in Bharat for the World | Data science problem statements and solutions

VIP cheatsheets for Stanford's CS 229 Machine Learning

A PyTorch Implementation of "SINE: Scalable Incomplete Network Embedding" (ICDM 2018).

SuSi: Python package for unsupervised, supervised and semi-supervised self-organizing maps (SOM)

Complete-Life-Cycle-of-a-Data-Science-Project

Programming Assignments and Lectures for Andrew Ng's "Machine Learning" Coursera course

An extensive machine learning library, made from scratch (Python).

Supplementary material for Hands-On Machine Learning with R, an applied book covering the fundamentals of machine learning with R.

A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).

Learning to Cluster. A deep clustering strategy.

Machine Learning project a case study focused on the interaction with digital characters, using a character called "Kaio", which, based on the automatic detection of facial expressions and classification of emotions, interacts with humans by classifying emotions and imitating expressions

Machine Learning Course @ Santa Clara University

Vectorized Machine Learning in Python 🐍 From Scratch

PHP-ML - Machine Learning library for PHP

R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.

📖Learning reinforcement learning by implementing the algorithms from reinforcement learning an introduction

100-Days-Of-ML-Code中文版

A library of extension and helper modules for Python's data analysis and machine learning libraries.

Open solution to the Santander Value Prediction Challenge 🐠

This project is for classification of emotions using EEG signals recorded in the DEAP dataset to achieve high accuracy score using machine learning algorithms such as Support vector machine and K - Nearest Neighbor.

PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

🧙 A web app to generate template code for machine learning

code for unsupervised learning Neural Hidden Markov Models paper

A Flask webapp & Python scripts for predicting reddit users' political leaning, using their comment history.

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

IVA: Independent Vector Analysis implementation

Rank-based Unsupervised Keyword Extraction via Metavertex Aggregation

📈 Regression and Classification with UC Davis student quiz data and exam data

📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.

Machine learning for Project Cognoma

This is an implementation for the CVPR2020 paper "Learning Invariant Representation for Unsupervised Image Restoration"

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Unsupervised Learning for Image Registration

TensorFlow Implementation of Unsupervised Cross-Domain Image Generation

Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)

Codebase for the Summary Loop paper at ACL2020

a package for versioning, automatization and analysis of machine learning development

(CVPR'20 Oral) Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild

GPU Javascript Library for Machine Learning

Using python and scikit-learn to make stock predictions

Predicting the probability that a diagnosed breast cancer case is malignant or benign based on Wisconsin dataset

Materials for the course of machine learning at Imperial College organized by Yandex SDA

Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency (AAAI 2021)

This repository tracks the spread of the novel coronavirus, also known as SARS-CoV-2. It is a contagious respiratory virus that first started in Wuhan in December 2019. On 2/11/2020, the disease is officially named COVID-19 by the World Health Organization.

Data Annotation, Data Labeling, Annotation Tooling, Training Data for Machine Learning

computer vision learning, include python machine learning action; computer vision based on deep learning ;coursera deeplearning.ai and other cv learning materials collect ...

Python implementation of bag-of-concepts

An implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).

Toolbox of models, callbacks, and datasets for AI/ML researchers.

An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana

Weakly Supervised 3D Object Detection from Point Clouds (VS3D), ACM MM 2020

Transpile trained scikit-learn estimators to C, Java, JavaScript and others.

Serverless Inferencing on Kubernetes

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

Student–Teacher Anomaly Detection with Discriminative Latent Embeddings

🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps