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🦜🔗 Build context-aware reasoning applications
A latent text-to-image diffusion model
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Google Research
A game theoretic approach to explain the output of any machine learning model.
Visualizations for machine learning datasets
Portfolio and risk analytics in Python
Performance analysis of predictive (alpha) stock factors
A high performance implementation of HDBSCAN clustering.
An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collec…
Python libraries for Google Colaboratory
Making Protein folding accessible to all!
Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.
ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit and hundreds of Google TPUs using Transformers Models.
Bayesian Data Analysis demos for Python
Biological foundation modeling from molecular to genome scale
Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke
LLM-based ontological extraction tools, including SPIRES
🍇 GRAPE is a Rust/Python Graph Representation Learning library for Predictions and Evaluations
Library for clinical NLP with spaCy.
Jupyter Notebooks for learning the PyRosetta platform for biomolecular structure prediction and design
🧬 Generative modeling of regulatory DNA sequences with diffusion probabilistic models 💨
NCBI Datasets is a new resource that lets you easily gather data from across NCBI databases.
Install Conda and friends on Google Colab, easily
Contains files for the deep learning in genomics primer.