A Collection of Conference & School Notes in Machine Learning πŸ¦„πŸ“πŸŽ‰

Overview

A Collection of Conference & School Notes in Machine Learning

v-ml-notes-banner

In this repo I collect my visual conference & summer school sketch notes - to prevent things getting messy. Feel free to have a look and enjoy, @RobertTLange!

FAQs

  • Q: What tablet do you use? A: I use an iPad 12.9' with the new Apple Pencil. But you don't have to. There are many cheaper tablet which do the job and I have seen awesome handwritten notes.

  • Q: What apps do you use? A: I use notability for all the talk sketches and procreate for illustrations. But I have also heard many good things about GoodNotes. Have a look at my recent blogpost in which I discuss my personal Machine Learning Research-iPad setup.

  • Q: Any advice on how to take notes? A: Ask yourself what type of notes you are would like to come back to in a week, month, or year. Also have a look at Natalia VΓ©lez. Her sketches are awesome! And practice on talks by great speakers. A well structured talk is way easier to summarise.

  • Q: Is there a gallery of all your notes? A: Yes, there is! Check out the Web UI visual-ml-notes.

Finally, I also put together a couple of slides describing my favorite aspects and journey of collecting the notes πŸ€—

Previously Sketched Events

Date Name Type Location Notes Program
20-12 NeurIPS Conference Virtual Click Click
20-07 MLSS Summer School Virtual Click Click
20-04 ICLR Conference Virtual Click Click
19-12 NeurIPS Conference Vancouver (Canada) Click Click
19-09 Bernstein Conference Berlin (Germany) Click Click
19-09 CCN Conference Berlin (Germany) Click Click
19-08 BMS Summer School Berlin (Germany) Click Click
19-07 EEML Summer School Bucharest (Romania) Click Click
19-06 RAAI Conference Bucharest (Romania) Click Click
19-06 FENS ENCODS PhD Symposium London (UK) Click Click
18-12 NeuRIPS Conference Montreal (Canada) Click Click
18-07 FENS Forum Conference Berlin (Germany) Click Click
17-08 ESSIR Summer School Barcelona (Spain) Click Click
17-08 DS^3 Summer School Paris (France) Click Click
Python 3.6+ toolbox for submitting jobs to Slurm

Submit it! What is submitit? Submitit is a lightweight tool for submitting Python functions for computation within a Slurm cluster. It basically wraps

Facebook Incubator 768 Jan 03, 2023
Required for a machine learning pipeline data preprocessing and variable engineering script needs to be prepared

Feature-Engineering Required for a machine learning pipeline data preprocessing and variable engineering script needs to be prepared. When the dataset

kemalgunay 5 Apr 21, 2022
A GitHub action that suggests type annotations for Python using machine learning.

Typilus: Suggest Python Type Annotations A GitHub action that suggests type annotations for Python using machine learning. This action makes suggestio

40 Sep 18, 2022
This repo includes some graph-based CTR prediction models and other representative baselines.

Graph-based CTR prediction This is a repository designed for graph-based CTR prediction methods, it includes our graph-based CTR prediction methods: F

Big Data and Multi-modal Computing Group, CRIPAC 47 Dec 30, 2022
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

Karate Club is an unsupervised machine learning extension library for NetworkX. Please look at the Documentation, relevant Paper, Promo Video, and Ext

Benedek Rozemberczki 1.8k Jan 03, 2023
scikit-fem is a lightweight Python 3.7+ library for performing finite element assembly.

scikit-fem is a lightweight Python 3.7+ library for performing finite element assembly. Its main purpose is the transformation of bilinear forms into sparse matrices and linear forms into vectors.

Tom Gustafsson 297 Dec 13, 2022
Factorization machines in python

Factorization Machines in Python This is a python implementation of Factorization Machines [1]. This uses stochastic gradient descent with adaptive re

Corey Lynch 892 Jan 03, 2023
Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.

Auto_TS: Auto_TimeSeries Automatically build multiple Time Series models using a Single Line of Code. Now updated with Dask. Auto_timeseries is a comp

AutoViz and Auto_ViML 519 Jan 03, 2023
ml4ir: Machine Learning for Information Retrieval

ml4ir: Machine Learning for Information Retrieval | changelog Quickstart β†’ ml4ir Read the Docs | ml4ir pypi | python ReadMe ml4ir is an open source li

Salesforce 77 Jan 06, 2023
Kalman filter library

The kalman filter framework described here is an incredibly powerful tool for any optimization problem, but particularly for visual odometry, sensor fusion localization or SLAM.

comma.ai 276 Jan 01, 2023
CobraML: Completely Customizable A python ML library designed to give the end user full control

CobraML: Completely Customizable What is it? CobraML is a python library built on both numpy and numba. Unlike other ML libraries CobraML gives the us

Sriram Govindan 14 Dec 19, 2021
MLR - Machine Learning Research

Machine Learning Research 1. Project Topic 1.1. Exsiting research Benmark: https://paperswithcode.com/sota ACL anthology for NLP papers: http://www.ac

Charles 69 Oct 20, 2022
Book Recommender System Using Sci-kit learn N-neighbours

Model-Based-Recommender-Engine I created a book Recommender System using Sci-kit learn's N-neighbours algorithm for my model and the streamlit library

1 Jan 13, 2022
High performance Python GLMs with all the features!

High performance Python GLMs with all the features!

QuantCo 200 Dec 14, 2022
Simple linear model implementations from scratch.

Hand Crafted Models Simple linear model implementations from scratch. Table of contents Overview Project Structure Getting started Citing this project

Jonathan Sadighian 2 Sep 13, 2021
Turning images into '9-pan' palettes using KMeans clustering from sklearn.

img2palette Turning images into '9-pan' palettes using KMeans clustering from sklearn. Requirements We require: Pillow, for opening and processing ima

Samuel Vidovich 2 Jan 01, 2022
TorchDrug is a PyTorch-based machine learning toolbox designed for drug discovery

A powerful and flexible machine learning platform for drug discovery

MilaGraph 1.1k Jan 08, 2023
A unified framework for machine learning with time series

Welcome to sktime A unified framework for machine learning with time series We provide specialized time series algorithms and scikit-learn compatible

The Alan Turing Institute 6k Jan 06, 2023
PyHarmonize: Adding harmony lines to recorded melodies in Python

PyHarmonize: Adding harmony lines to recorded melodies in Python About To use this module, the user provides a wav file containing a melody, the key i

Julian Kappler 2 May 20, 2022
Kaggle Competition using 15 numerical predictors to predict a continuous outcome.

Kaggle-Comp.-Data-Mining Kaggle Competition using 15 numerical predictors to predict a continuous outcome as part of a final project for a stats data

moisey alaev 1 Dec 28, 2021