A Collection of Conference & School Notes in Machine Learning

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 Vélez. 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 🤗

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

A Collection of Conference & School Notes in Machine Learning 🦄📝🎉

Related tags

Overview

A Collection of Conference & School Notes in Machine Learning

FAQs

Previously Sketched Events

Owner

A classification model capable of accurately predicting the price of secondhand cars

This project used bitcoin, S&P500, and gold to construct an investment portfolio that aimed to minimize risk by minimizing variance.

Machine Learning e Data Science com Python

QML: A Python Toolkit for Quantum Machine Learning

Multiple Linear Regression using the LinearRegression class from sklearn.linear_model library

CVXPY is a Python-embedded modeling language for convex optimization problems.

A Software Framework for Neuromorphic Computing

Ml based project which uses regression technique to predict the price.

A Python library for choreographing your machine learning research.

A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.

Fourier-Bayesian estimation of stochastic volatility models

Continuously evaluated, functional, incremental, time-series forecasting

XAI - An eXplainability toolbox for machine learning

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

30 Days Of Machine Learning Using Pytorch

Tools for diffing and merging of Jupyter notebooks.

Combines MLflow with a database (PostgreSQL) and a reverse proxy (NGINX) into a multi-container Docker application

YouTube Spam Detection with python

A collection of neat and practical data science and machine learning projects