1,467 skills found · Page 2 of 49
openai / CoinrunCode for the paper "Quantifying Transfer in Reinforcement Learning"
blinry / HabitctlMinimalist command line tool you can use to track and examine your habits.
deel-ai / Puncc👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.
normal-computing / PosteriorsUncertainty quantification with PyTorch
joakimskoog / AnApiOfIceAndFireAn API of Ice And Fire is the world's greatest source for quantified and structured data from the universe of Ice and Fire (as well as the HBO series Game of Thrones).
SURGroup / UQpyUQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.
constantAmateur / SoupXR package to quantify and remove cell free mRNAs from droplet based scRNA-seq data
nwinter / Telepath LoggerA happy Mac keylogger for Quantified Self purposes.
openturns / OpenturnsProbabilistic modelling and uncertainty quantification library
comprna / SUPPASUPPA: Fast quantification of splicing and differential splicing
lazear / SageProteomics search & quantification so fast that it feels like magic
IBM / UQ360Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty in machine learning model predictions.
cjekel / Similarity MeasuresQuantify the difference between two arbitrary curves in space
smartyfh / LLM Uncertainty BenchBenchmarking LLMs via Uncertainty Quantification
PredictiveScienceLab / Uq CourseIntroduction to Uncertainty Quantification
idaholab / RavenRAVEN is a flexible and multi-purpose probabilistic risk analysis, validation and uncertainty quantification, parameter optimization, model reduction and data knowledge-discovering framework.
nadeemlab / DeepLIIFDeep Learning Inferred Multiplex ImmunoFluorescence for IHC Image Quantification (https://deepliif.org) [Nature Machine Intelligence'22, CVPR'22, MICCAI'23, Histopathology'23, MICCAI'24]
Genentech / ScimilarityA unifying representation of single cell expression profiles that quantifies similarity between expression states and generalizes to represent new studies without additional training.
GoekeLab / BambuReference-guided transcript discovery and quantification for long read RNA-Seq data
im3sanger / DndscvdN/dS methods to quantify selection in cancer and somatic evolution
