megaduks

books

curated-transformers

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

chatgpt-causality-pairs

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

master_thesis

Analysis of quotations in scientific papers

suggested-notation-for-machine-learning

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

t2r2

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

Clinical-Trial-Parser

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

konect2networkx

Bridging the gap between the KONECT project and NetworkX

data-science-at-the-command-line

Data Science at the Command Line

BioGPT

Prompt-Engineering-Guide

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

medspacy

Library for clinical NLP with spaCy.

ruff

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

VectorLossFunction

weasel

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

dmls-book

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

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

ml-visuals

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

polish-nlp-resources

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

awesome-machine-learning-interpretability

A curated list of awesome responsible machine learning resources.

loguru

Python logging made (stupidly) simple

python-fire

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

avax-tweets-dataset

avaxtar

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

Moral_Foundation_FrameAxis

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

mlops-platforms

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

tldr

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

applied-ml

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

skweak

skweak: A software toolkit for weak supervision applied to NLP tasks