megaduks

Prompt-Engineering-Guide

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

ruff

An extremely fast Python linter and code formatter, written in Rust.

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

python-fire

Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.

loguru

Python logging made (stupidly) simple

ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

BioGPT

data-science-at-the-command-line

Data Science at the Command Line

awesome-machine-learning-interpretability

A curated list of awesome responsible machine learning resources.

deepchecks

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

BIG-bench

Beyond the Imitation Game collaborative benchmark for measuring and extrapolating the capabilities of language models

dmls-book

Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)

curated-transformers

🤖 A PyTorch library of curated Transformer models and their composable components

medspacy

Library for clinical NLP with spaCy.

suggested-notation-for-machine-learning

This introduces a suggestion of mathematical notation protocol for machine learning.

mlops-platforms

Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...

books

polish-nlp-resources

Pre-trained models and language resources for Natural Language Processing in Polish

Clinical-Trial-Parser

Library for converting clinical trial eligibility criteria to a machine-readable format.

weasel

Weakly Supervised End-to-End Learning (NeurIPS 2021)

tldr

TLDR is an unsupervised dimensionality reduction method that combines neighborhood embedding learning with the simplicity and effectiveness of recent self-supervised learning losses

chatgpt-causality-pairs

Solving the causality pairs challenge (does A cause B) with ChatGPT

avax-tweets-dataset

Moral_Foundation_FrameAxis

Flexible calculation of moral foundation scores from textual input data based on word embedding methods.

avaxtar

Model that predicts the probability of a Twitter user being anti-vaccination.

t2r2

Train, test, record, repeat: incremental environment for AI model training

konect2networkx

Bridging the gap between the KONECT project and NetworkX

master_thesis

Analysis of quotations in scientific papers

VectorLossFunction

curriculum-learning-cartography

Master's Thesis project