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High-fidelity performance metrics for generative models in PyTorch
reproducible-research metrics evaluation pytorch gan generative-model reproducibility precision inception-score frechet-inception-distance kernel-inception-distance perceptual-path-length
A Compositional Numeric Library for C++
Fast numeric to- and from-string conversion routines.
Advanced Java BigDecimal math functions (pow, sqrt, log, sin, ...) using arbitrary precision.
arbitrary-precision complex-numbers bigdecimal mathematical-functions precision newton-raphson taylor-series big-math
A general purpose recommender metrics library for fair evaluation.
coverage machine-learning deep-learning metrics evaluation personalization rank ranking recommender recall recsys recommender-system metric precision mrr rsquared
Code base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.
diversity machine-learning deep-learning evaluation generative-adversarial-network generative-model recall precision evaluation-metrics fidelity icml icml-2020 icml2020
Multi-class metrics for Tensorflow
[ACL2025 demo track] ROGRAG: A Robustly Optimized GraphRAG Framework
knowledge-graph knowledge-base precision llm retrieval-augmented-generation knownledge-augmented-generation
math with more good bits
Work with large numbers on the client side with high precision.
Digitally controlled electronic load, 2022
A tool for debugging and assessing floating point precision and reproducibility.
llvm floating-point precision numerical-analysis montecarlo-arithmetic mpfr mixed-precision stochastic-rounding
High precision and accuracy, open source, online, extensible and low cost homebrew automation on top of ESP8266 microchip.
react homebrew arduino esp8266 synchronization ota beer cplusplus pid platformio ntp accuracy pid-control precision esp8266-arduino pid-controller wifi-configurations brewbeer
An implementation of an algebraically closed interval system of the extended real number set
An optimized handwritten digit recognition model delivering exceptional accuracy, high-speed performance, and compatibility with low-end hardware, supported by comprehensive documentation, experiment tracking, data-driven decision-making, effective troubleshooting, and a modular project structure.
Apache Commons Numbers
Training with FP16 weights in PyTorch
computer-vision deep-learning overflow pytorch artificial-intelligence artificial-neural-networks gradient weight precision nueral-networks model-weights mixed-precision gradients-underflow precision-training
Anomaly detection on the UC Berkeley milling data set using a disentangled-variational-autoencoder (beta-VAE). Replication of results as described in article "Self-Supervised Learning for Tool Wear Monitoring with a Disentangled-Variational-Autoencoder"
deep-learning recall trend beta-vae advanced-manufacturing precision milling anomaly-detection machinery-condition-monitoring masc-thesis latent-spaces tool-wear-monitoring tool-condition-monitoring
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