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

Related tags

Machine Learningvisual-machine-learning-notes
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 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
Owner
GitHub Repository https://visual-ml-notes.github.io/
Pytools is an open source library containing general machine learning and visualisation utilities for reuse

pytools is an open source library containing general machine learning and visualisation utilities for reuse, including: Basic tools for API developmen

BCG Gamma 26 Nov 06, 2022
Penguins species predictor app is used to classify penguins species created using python's scikit-learn, fastapi, numpy and joblib packages.

Penguins Classification App Penguins species predictor app is used to classify penguins species using their island, sex, bill length (mm), bill depth

Siva Prakash 3 Apr 05, 2022
Predicting India’s COVID-19 Third Wave with LSTM

Predicting India’s COVID-19 Third Wave with LSTM Complete project of predicting new COVID-19 cases in the next 90 days with LSTM India is seeing a ste

Samrat Dutta 4 Jan 27, 2022
Kaggler is a Python package for lightweight online machine learning algorithms and utility functions for ETL and data analysis.

Kaggler is a Python package for lightweight online machine learning algorithms and utility functions for ETL and data analysis. It is distributed under the MIT License.

Jeong-Yoon Lee 720 Dec 25, 2022
Uses WiFi signals :signal_strength: and machine learning to predict where you are

Uses WiFi signals and machine learning (sklearn's RandomForest) to predict where you are. Even works for small distances like 2-10 meters.

Pascal van Kooten 5k Jan 09, 2023
Azure MLOps (v2) solution accelerators.

Azure MLOps (v2) solution accelerator Welcome to the MLOps (v2) solution accelerator repository! This project is intended to serve as the starting poi

Microsoft Azure 233 Jan 01, 2023
Time series forecasting with PyTorch

Our article on Towards Data Science introduces the package and provides background information. Pytorch Forecasting aims to ease state-of-the-art time

Jan Beitner 2.5k Jan 02, 2023
Dive into Machine Learning

Dive into Machine Learning Hi there! You might find this guide helpful if: You know Python or you're learning it 🐍 You're new to Machine Learning You

Michael Floering 11.1k Jan 03, 2023
ETNA is an easy-to-use time series forecasting framework.

ETNA is an easy-to-use time series forecasting framework. It includes built in toolkits for time series preprocessing, feature generation, a variety of predictive models with unified interface - from

Tinkoff.AI 674 Jan 07, 2023
A python fast implementation of the famous SVD algorithm popularized by Simon Funk during Netflix Prize

⚡ funk-svd funk-svd is a Python 3 library implementing a fast version of the famous SVD algorithm popularized by Simon Funk during the Neflix Prize co

Geoffrey Bolmier 171 Dec 19, 2022
Automated Machine Learning with scikit-learn

auto-sklearn auto-sklearn is an automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator. Find the documentation here

AutoML-Freiburg-Hannover 6.7k Jan 07, 2023
A toolkit for geo ML data processing and model evaluation (fork of solaris)

An open source ML toolkit for overhead imagery. This is a beta version of lunular which may continue to develop. Please report any bugs through issues

Ryan Avery 4 Nov 04, 2021
Python package for concise, transparent, and accurate predictive modeling

Python package for concise, transparent, and accurate predictive modeling. All sklearn-compatible and easy to use. 📚 docs • 📖 demo notebooks Modern

Chandan Singh 983 Jan 01, 2023
MCML is a toolkit for semi-supervised dimensionality reduction and quantitative analysis of Multi-Class, Multi-Label data

MCML is a toolkit for semi-supervised dimensionality reduction and quantitative analysis of Multi-Class, Multi-Label data. We demonstrate its use

Pachter Lab 26 Nov 29, 2022
UpliftML: A Python Package for Scalable Uplift Modeling

UpliftML is a Python package for scalable unconstrained and constrained uplift modeling from experimental data. To accommodate working with big data, the package uses PySpark and H2O models as base l

Booking.com 254 Dec 31, 2022
Python Automated Machine Learning library for tabular data.

Simple but powerful Automated Machine Learning library for tabular data. It uses efficient in-memory SAP HANA algorithms to automate routine Data Scie

Daniel Khromov 47 Dec 17, 2022
Fourier-Bayesian estimation of stochastic volatility models

fourier-bayesian-sv-estimation Fourier-Bayesian estimation of stochastic volatility models Code used to run the numerical examples of "Bayesian Approa

15 Jun 20, 2022
Code for the TCAV ML interpretability project

Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV) Been Kim, Martin Wattenberg, Justin Gilmer, C

552 Dec 27, 2022
Implementations of Machine Learning models, Regularizers, Optimizers and different Cost functions.

Linear Models Implementations of LinearRegression, LassoRegression and RidgeRegression with appropriate Regularizers and Optimizers. Linear Regression

Keivan Ipchi Hagh 1 Nov 22, 2021
My project contrasts K-Nearest Neighbors and Random Forrest Regressors on Real World data

kNN-vs-RFR My project contrasts K-Nearest Neighbors and Random Forrest Regressors on Real World data In many areas, rental bikes have been launched to

1 Oct 28, 2021