SLAPNAP

github.com/benkeser/slapnap
Stale0updated 2 years ago
R

A Containerized Tool for Predicting Combination Monoclonal Broadly Neutralizing Antibody Sensitivity. Super LeArner Predictions using NAb Panels. slapnap is a Docker image for developing cross-validation-based ensemble predictors of neutralization sensitivity/resistance using HIV sequences from the CATNAP database. The image provides an automated tool for reading the data from the online database, compiling analytic data sets, developing prediction models, and summarizing results. The slapnap container is a tool for using the Compile, Analyze and Tally NAb Panels (CATNAP) database to develop predictive models of HIV-1 neutralization sensitivity to one or several broadly neutralizing antibodies (bnAbs).

Sourced from

  • GitHub — github.com/benkeser/slapnap

Related resources

High-performance ML research

Active36.5K2 weeks ago
Python
Apache-2.0

Foundation model for tabular data that predicts on unseen real-world tables in a single forward pass, achieving accurate small-data classification and regression without task-specific training; widely applicable to scientific datasets with limited samples (7.4K+ stars, 2022-2026)

Active8.1K1 month ago
Python
Apache-2.0

Deep learning library for Chemistry based on Tensorflow

Active7K2 months ago
Python
MIT

Pretrained time series foundation model for zero-shot forecasting across diverse scientific and real-world domains; tokenizes continuous time series into discrete bins to train transformer language models on large-scale corpora, achieving strong zero-shot generalization and competitive performance with task-specific supervised models on climate, energy, and health benchmarks (5.3K+ stars, Apache 2.0, 2024-2026)

Active6.2K1 month ago
Python
Apache-2.0

Programmatic data labeling and weak supervision

Active6K1 month ago
Python
Apache-2.0

Machine learning software for extracting structured metadata from scholarly documents

Active5.2K1 month ago
Java
Apache-2.0