RoadMap and preparation material for Machine Learning and Data Science - From beginner to expert.

Last update: Dec 29, 2022

Overview

ML-and-DataScience-preparation

This repository has the goal to create a learning and preparation roadMap for Machine Learning Engineers and Data Scientists.

Project Structure

The repository is splittend into two macrofolders: Machine Learning and Data Science. Each section will have its own README file, containing a list of topic sorted from beginner to senior levels, with related e-learning resources or articles associated. Also in the README.md file, you will be able to find a Suggested Books section, containing a list of books useful for theory preparation, practice or interview preparation.

Collaborate to the Project

Any feedback or collaboration is more than welcome.

How to collaborate

Star the repository
Clone the repository
Add your changes
Create a Pull Request

Host

Special thanks to LeadTheFuture for welcoming and supporting this initiative.

Contributors

Owner

GitHub Repository https://leadthefuture.tech/

[NeurIPS 2021] The PyTorch implementation of paper "Self-Supervised Learning Disentangled Group Representation as Feature"

IP-IRM [NeurIPS 2021] The PyTorch implementation of paper "Self-Supervised Learning Disentangled Group Representation as Feature". Codes will be relea

67 Dec 24, 2022

Source code and dataset for ACL2021 paper: "ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning".

ERICA Source code and dataset for ACL2021 paper: "ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive L

75 Nov 02, 2022

Deploy a ML inference service on a budget in less than 10 lines of code.

BudgetML is perfect for practitioners who would like to quickly deploy their models to an endpoint, but not waste a lot of time, money, and effort trying to figure out how to do this end-to-end.

1.3k Dec 25, 2022

Awesome Graph Classification - A collection of important graph embedding, classification and representation learning papers with implementations.

A collection of graph classification methods, covering embedding, deep learning, graph kernel and factorization papers

4.5k Jan 01, 2023

Fast and accurate optimisation for registration with little learningconvexadam

convexAdam Learn2Reg 2021 Submission Fast and accurate optimisation for registration with little learning Excellent results on Learn2Reg 2021 challeng

17 Dec 06, 2022

a curated list of docker-compose files prepared for testing data engineering tools, databases and open source libraries.

data-services A repository for storing various Data Engineering docker-compose files in one place. How to use it ? Set the required settings in .env f

525 Dec 03, 2022

OOD Dataset Curator and Benchmark for AI-aided Drug Discovery

🔥 DrugOOD 🔥 : OOD Dataset Curator and Benchmark for AI Aided Drug Discovery This is the official implementation of the DrugOOD project, this is the

108 Dec 17, 2022

KIND: an Italian Multi-Domain Dataset for Named Entity Recognition

KIND (Kessler Italian Named-entities Dataset) KIND is an Italian dataset for Named-Entity Recognition. It contains more than one million tokens with t

5 Jun 21, 2022

CAPRI: Context-Aware Interpretable Point-of-Interest Recommendation Framework

CAPRI: Context-Aware Interpretable Point-of-Interest Recommendation Framework This repository contains a framework for Recommender Systems (RecSys), a

8 Jul 03, 2022

Code and data of the EMNLP 2021 paper "Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer"

StyleAttack Code and data of the EMNLP 2021 paper "Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer" Prepare Pois

19 Nov 20, 2022

RoadMap and preparation material for Machine Learning and Data Science - From beginner to expert.

Related tags

Overview

ML-and-DataScience-preparation

Project Structure

Collaborate to the Project

How to collaborate

Host

Contributors

Owner

[NeurIPS 2021] The PyTorch implementation of paper "Self-Supervised Learning Disentangled Group Representation as Feature"

Source code and dataset for ACL2021 paper: "ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning".

Deploy a ML inference service on a budget in less than 10 lines of code.

Awesome Graph Classification - A collection of important graph embedding, classification and representation learning papers with implementations.

Fast and accurate optimisation for registration with little learningconvexadam

a curated list of docker-compose files prepared for testing data engineering tools, databases and open source libraries.

OOD Dataset Curator and Benchmark for AI-aided Drug Discovery

KIND: an Italian Multi-Domain Dataset for Named Entity Recognition

CAPRI: Context-Aware Interpretable Point-of-Interest Recommendation Framework

Code and data of the EMNLP 2021 paper "Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer"

pytorchのスライス代入操作をonnxに変換する際にScatterNDならないようにするサンプル

Text-Based Ideal Points

Stock-history-display - something like a easy yearly review for your stock performance

M3DSSD: Monocular 3D Single Stage Object Detector

Download files from DSpace systems (because for some reason DSpace won't let you)

Virtual hand gesture mouse using a webcam

Model Agnostic Interpretability for Multiple Instance Learning

DECAF: Deep Extreme Classification with Label Features

RADIal is available now! Check the download section

SuRE Evaluation: A Supplementary Material