ml-d Goto Github PK

goml

On-line Machine Learning in Go (and so much more)

grakel

A scikit-learn compatible library for graph kernels

graph-embedding-techniques

It provides some typical graph embedding techniques based on task-free or task-specific intuitions.

graph_classification

Training GNNs with PyTorch Lightning: Open Graph Benchmarks and image classification from superpixels

hacker-laws

💻📖 Laws, Theories, Principles and Patterns that developers will find useful. #hackerlaws

handson-ml2

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.

hypersearch

Hyperparameter optimization for PyTorch.

jodie

A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"

k-means-constrained

K-Means clustering - constrained with minimum and maximum cluster size

kaggle-titanic

Surviving the Titanic step-by-step with groups

keras-idiomatic-programmer

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

langchangetrack

Package for Statistically significant linguistic change

machine-learning-courses

A collection of machine learning courses.

machine-learning-from-scratch

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

mailinglistscraper

A python web scraper for public email lists.

ml-design-patterns

Source code accompanying O'Reilly book: Machine Learning Design Patterns

mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

multi-task-learning-pytorch

PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).

neuralpda

Link to paper: https://aashishyadavally.github.io/files/C5.pdf

notes

Notes On Using Data Science & Artificial Intelligence To Fight For Something That Matters.

p-wl

A Persistent Weisfeiler–Lehman Procedure for Graph Classification

project_codenet

This repository is to support contributions for tools for the Project CodeNet dataset hosted in DAX

python-change-miner

A tool for mining graph-based change patterns in Python code

pytorch-deep-learning

Deep Learning (with PyTorch)

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-metric-learning

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

pytorchvideo

ranking

Learning to Rank in TensorFlow

rat-sql

A relation-aware semantic parsing model from English to SQL

recmetrics

A library of metrics for evaluating recommender systems