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awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-mlops

A curated list of references for MLOps

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

cheatsheets

RStudio Cheat Sheets

data-science

:bar_chart: Path to a free self-taught education in Data Science!

data-science-projects

DataScience projects for learning : Kaggle challenges, Object Recognition, Parsing, etc.

data-scientist-resume-latex

A LaTeX resume template, tailored for the recent graduate who aspires to be a Data Scientist.

data_science_starter

This is some starter / reference code for those interested in starting data science

deep-person-reid

Torchreid: Deep learning person re-identification in PyTorch.

deeplearning_unitn

efficientgcnv1

EfficientGCN v1 for skeleton-based action recognition, submitted to IEEE T-PAMI

emoji-cheat-sheet

A markdown version emoji cheat sheet

gdl_code-tensorflow-

The official code repository for examples in the O'Reilly book 'Generative Deep Learning'

generate-music

This repository belongs to the youtube video " Can AI make music?" (https://www.youtube.com/watch?v=aOsET8KapQQ) If you haven't seen it, please consider watching the video if you need a better understanding of the code.

imersao-dados-2-2020

kdi-fhir

FHIR project

mcw-ml-ops

MCW MLOps

metaflow

Build and manage real-life data science projects with ease.

ml-desnapify

Deep convolutional generative adversarial network (DCGAN) trained to remove Snapchat filters from selfie images

ml_exam_simulation

mlops

MLOps examples

mlops-1

Modular and minimalistic MLOps recipes

mslearn-aml-labs

Azure Machine Learning Lab Notebooks

pgx-samples

Applications using Parallel Graph AnalytiX (PGX) from Oracle Labs

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

pytorch-center-loss

Pytorch implementation of Center Loss

pytorch_in_5_minutes

This is the code for "PyTorch in 5 Minutes" by Siraj Raval on Youtube

readme

recommenders

Best Practices on Recommendation Systems

sample-patients

Utilities to generate sample data as FHIR Resources