1807 Open source projects that are alternatives of or similar to Danmf

General Assembly's 2015 Data Science course in Washington, DC

📖 [译] 数据科学和人工智能技术笔记

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

Una introduccion al analisis de datos con R y R Studio

Supervised domain-agnostic prediction framework for probabilistic modelling

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).

Variational Recurrent Autoencoder for timeseries clustering in pytorch

A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).

📖 每一个伟大的思想和行动都有一个微不足道的开始

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🌐 Deep Embedded Self-Organizing Map: Joint Representation Learning and Self-Organization

The hybrid model combining stacked denoising autoencoder with matrix factorization is applied, to predict the customer purchase behavior in the future month according to the purchase history and user information in the Santander dataset.

SESF-Fuse: An Unsupervised Deep Model for Multi-Focus Image Fusion

Dual CNN Models for Unsupervised Monocular Depth Estimation

DBSCAN Clustering Algorithm C# Implementation

An implementation of "Community Preserving Network Embedding" (AAAI 2017)

A simple implementation of K-means (and Bisecting K-means) clustering algorithm in Python

Implementation of linear CorEx and temporal CorEx.

Fast, linear version of CorEx for covariance estimation, dimensionality reduction, and subspace clustering with very under-sampled, high-dimensional data

A NetworkX implementation of Label Propagation from a "Near Linear Time Algorithm to Detect Community Structures in Large-Scale Networks" (Physical Review E 2008).

TCyb 2018: Graph learning for multiview clustering

Workshop (6 hours): Clustering (Hdbscan, LCA, Hopach), dimension reduction (UMAP, GLRM), and anomaly detection (isolation forests).

(NeurIPS 2020 oral) Code for "Deep Transformation-Invariant Clustering" paper

Find nodes in hierarchical clustering that are statistically significant

Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.

The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano

ELKI Data Mining Toolkit

A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).

pyclustring is a Python, C++ data mining library.

SCAN: Learning to Classify Images without Labels (ECCV 2020), incl. SimCLR.

Using python and scikit-learn to make stock predictions

PyTorch implementation of DEC (Deep Embedding Clustering)

This repository consists of all my Machine Learning Projects.

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

Statistical Machine Intelligence & Learning Engine

A high-level machine learning and deep learning library for the PHP language.

State-of-the art Automated Machine Learning python library for Tabular Data

Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction. In CVPR, 2017.

Topic Modelling for Humans

🧰 Multi-user development platform for machine learning teams. Simple to setup within minutes.

An open source library for Fuzzy Time Series in Python

A Unified Database of NYC transport (subway, taxi/Uber, and citibike) data.

Python Top 45 Articles of 2017

Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language

👷‍♂️ A simple package for extracting useful features from character objects 👷‍♀️

Implementing Facebook's FastText with java

Open solution to the Toxic Comment Classification Challenge

Codes for Stylistic Chinese Poetry Generation via Unsupervised Style Disentanglement (EMNLP 2018)

EvalML is an AutoML library written in python.

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

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

🎨 Color recognition & classification & detection on webcam stream / on video / on single image using K-Nearest Neighbors (KNN) is trained with color histogram features by OpenCV.

VIP cheatsheets for Stanford's CS 221 Artificial Intelligence

A simple Tensorflow based library for deep and/or denoising AutoEncoder.

🐳📊🤓Cookiecutter template to launch an awesome dockerized Data Science toolstack (incl. Jupyster, Superset, Postgres, Minio, AirFlow & API Star)

Julia port of the Python autograd package.

Pandas and Spark DataFrame comparison for humans