1,456 skills found · Page 1 of 49
uncertainty-toolbox / Uncertainty ToolboxUncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
opendatacam / OpendatacamAn open source tool to quantify the world
wakatime / Jetbrains WakatimeIntelliJ IDEA, PyCharm, RubyMine, PhpStorm, AppCode, AndroidStudio, Goland, Rider, & WebStorm plugin for quantifying your coding.
cvs-health / UqlmUQLM: Uncertainty Quantification for Language Models, is a Python package for UQ-based LLM hallucination detection
markwk / Qs LedgerQuantified Self Personal Data Aggregator and Data Analysis
awslabs / FortunaA Library for Uncertainty Quantification.
COMBINE-lab / Salmon🐟 🍣 🍱 Highly-accurate & wicked fast transcript-level quantification from RNA-seq reads using selective alignment
pachterlab / KallistoNear-optimal RNA-Seq quantification
EmuKit / EmukitA Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.
Genivia / RE FlexYet another high-performance C++ regex library and lexical analyzer generator like Flex: extends Flex++ with Unicode support, indent/dedent anchors, lazy quantifiers, functions for lex and syntax error reporting and more. Seamlessly integrates with Bison and other parsers.
dougbrion / Pytorch Classification UncertaintyThis repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"
gpertea / StringtieTranscript assembly and quantification for RNA-Seq
CogComp / Cogcomp NlpCogComp's Natural Language Processing Libraries and Demos: Modules include lemmatizer, ner, pos, prep-srl, quantifier, question type, relation-extraction, similarity, temporal normalizer, tokenizer, transliteration, verb-sense, and more.
jonathf / ChaospyChaospy - Toolbox for performing uncertainty quantification.
deweylab / RSEMRSEM: accurate quantification of gene and isoform expression from RNA-Seq data
veeral-patel / Awesome Risk QuantificationA collection of awesome projects, blog posts, books, and talks on quantifying risk
CSAILVision / NetDissectNetwork Dissection http://netdissect.csail.mit.edu for quantifying interpretability of deep CNNs.
openai / CoinrunCode for the paper "Quantifying Transfer in Reinforcement Learning"
normal-computing / PosteriorsUncertainty quantification with PyTorch
deel-ai / Puncc👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.
