megaduks's Stars
dair-ai/Prompt-Engineering-Guide
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
astral-sh/ruff
An extremely fast Python linter and code formatter, written in Rust.
eugeneyan/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
google/python-fire
Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
Delgan/loguru
Python logging made (stupidly) simple
dair-ai/ml-visuals
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
microsoft/BioGPT
jeroenjanssens/data-science-at-the-command-line
Data Science at the Command Line
jphall663/awesome-machine-learning-interpretability
A curated list of awesome responsible machine learning resources.
deepchecks/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.
google/BIG-bench
Beyond the Imitation Game collaborative benchmark for measuring and extrapolating the capabilities of language models
chiphuyen/dmls-book
Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)
explosion/curated-transformers
🤖 A PyTorch library of curated Transformer models and their composable components
medspacy/medspacy
Library for clinical NLP with spaCy.
mazhengcn/suggested-notation-for-machine-learning
This introduces a suggestion of mathematical notation protocol for machine learning.
stepbasin/books
thoughtworks/mlops-platforms
Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...
sdadas/polish-nlp-resources
Pre-trained models and language resources for Natural Language Processing in Polish
facebookresearch/Clinical-Trial-Parser
Library for converting clinical trial eligibility criteria to a machine-readable format.
autonlab/weasel
Weakly Supervised End-to-End Learning (NeurIPS 2021)
naver/tldr
TLDR is an unsupervised dimensionality reduction method that combines neighborhood embedding learning with the simplicity and effectiveness of recent self-supervised learning losses
amit-sharma/chatgpt-causality-pairs
Solving the causality pairs challenge (does A cause B) with ChatGPT
gmuric/avax-tweets-dataset
negar-mokhberian/Moral_Foundation_FrameAxis
Flexible calculation of moral foundation scores from textual input data based on word embedding methods.
Matheus-Schmitz/avaxtar
Model that predicts the probability of a Twitter user being anti-vaccination.
radswn/t2r2
Train, test, record, repeat: incremental environment for AI model training
jkudla/konect2networkx
Bridging the gap between the KONECT project and NetworkX
kabix09/master_thesis
Analysis of quotations in scientific papers
MateuszGajewski/VectorLossFunction
Michu-dev/curriculum-learning-cartography
Master's Thesis project