BartlomiejF's Stars
eugeneyan/applied-ml
đź“š Papers & tech blogs by companies sharing their work on data science & machine learning in production.
afshinea/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
ujjwalkarn/Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
steven2358/awesome-generative-ai
A curated list of modern Generative Artificial Intelligence projects and services
sger/RustBooks
List of Rust books
jupyterlab/jupyter-ai
A generative AI extension for JupyterLab
paperswithcode/galai
Model API for GALACTICA
camenduru/text-generation-webui-colab
A colab gradio web UI for running Large Language Models
GeostatsGuy/PythonNumericalDemos
Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.
jmtomczak/intro_dgm
"Deep Generative Modeling": Introductory Examples
telmo-correa/all-of-statistics
Self-study on Larry Wasserman's "All of Statistics"
SelfExplainML/PiML-Toolbox
PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics
yeswehack/vulnerable-code-snippets
Twitter vulnerable snippets
AspirinCode/papers-for-molecular-design-using-DL
List of Molecular and Material design using Generative AI and Deep Learning
google-deepmind/uncertain_ground_truth
Dermatology ddx dataset, Jax implementations of Monte Carlo conformal prediction, plausibility regions and statistical annotation aggregation from our recent work on uncertain ground truth (TMLR'23 and ArXiv pre-print).
causalens/dara
Dara is a dynamic application framework designed for creating interactive web apps with ease, all in pure Python.
mpalenciaolivar/Awesome-Decision-Science
Une liste de ressources sur tout ce qui touche à la prise de décision : vidéos, tutoriels, livres, documents, thèses, articles, datasets et libs open source.
valeman/Awesome_CatBoost
The repository to showcase the best framework for tabular data - the Awesome CatBoost
EBjerrum/scikit-mol
scikit-learn classes for molecular vectorization using RDKit
CBDD/rDock
rDock is a fast and versatile Open Source docking program that can be used to dock small molecules against proteins and nucleic acids. It is designed for High Throughput Virtual Screening (HTVS) campaigns and Binding Mode prediction studies.
Yousuf28/Machine_Learning_Materials_to_Follow
Machine Learning Materials
vincentblot28/conformalized_gp
rdkit/UGM_2023
Materials from the 2023 RDKit UGM
IAEA-NDS/IsotopeBrowser
Android version
chupvl/awesome-ls-ventures
Awesome list of the data and AI/ML related projects with direct Life Science Companies participation
mims-harvard/SPECTRA
Spectral Framework For AI Model Evaluation
DrugBud-Suite/CADD_Vault
Team-SKI/snippets
Snippets for common computer-aided drug design tasks
samoturk/cheminf-notebooks
Different useful and less useful cheminformatics related notebooks
igraugar/sofi
SOFI