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 🦄📝🎉

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Overview

A Collection of Conference & School Notes in Machine Learning

FAQs

Previously Sketched Events

Owner

虚拟货币(BTC、ETH)炒币量化系统项目。在一版本的基础上加入了趋势判断

Climin is a Python package for optimization, heavily biased to machine learning scenarios

This is a Machine Learning model which predicts the presence of Diabetes in Patients

Sequence learning toolkit for Python

Random Forest Classification for Neural Subtypes

Diabetes Prediction with Logistic Regression

An implementation of Relaxed Linear Adversarial Concept Erasure (RLACE)

Anomaly Detection and Correlation library

Distributed Evolutionary Algorithms in Python

A Tools that help Data Scientists and ML engineers train and deploy ML models.

A collection of Scikit-Learn compatible time series transformers and tools.

BudouX is the successor to Budou, the machine learning powered line break organizer tool.

The easy way to combine mlflow, hydra and optuna into one machine learning pipeline.

🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams

All-in-one web-based development environment for machine learning

Microsoft Machine Learning for Apache Spark

Python factor analysis library (PCA, CA, MCA, MFA, FAMD)

A framework for building (and incrementally growing) graph-based data structures used in hierarchical or DAG-structured clustering and nearest neighbor search

Iris species predictor app is used to classify iris species created using python's scikit-learn, fastapi, numpy and joblib packages.

Optimal Randomized Canonical Correlation Analysis