5 repositorios
Awesome GitHub RepositoriesConfidence Scoring
Systems for assigning probability scores to identification results to indicate accuracy.
Distinct from Visitor Identification: Focuses on confidence assessment for visitor identification, distinct from general detection confidence metrics.
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Awesome Confidence Scoring GitHub Repositories
Encuentra los mejores repositorios con IA.Buscaremos los repositorios que mejor coincidan usando IA.
- fingerprintjs/fingerprintjs
fingerprintjs/fingerprintjs
27,334Ver en GitHubFingerprint is a visitor identification and fraud detection platform that generates persistent, unique identifiers by analyzing browser and device attributes. By extracting technical signals from the client environment, it enables reliable user tracking across sessions without relying on traditional cookies. The platform distinguishes itself through its focus on high-accuracy identification and security-first architecture. It employs edge-side proxying to bypass ad-blockers and privacy restrictions, ensuring consistent data collection. To maintain data integrity, it uses cryptographic payload
Assigns probability scores to visitor identifiers to indicate the level of certainty in the accuracy of generated fingerprints.
TypeScriptaudio-fingerprintingbrowserbrowser-fingerprint - infinitered/nsfwjs
infinitered/nsfwjs
8,908Ver en GitHubNSFW detection on the client-side via TensorFlow.js
Returns a ranked list of category labels with floating-point confidence values from the softmax output layer.
TypeScriptcontent-managementjavascriptmachine-learning - opennmt/ctranslate2
OpenNMT/CTranslate2
4,319Ver en GitHubCTranslate2 is a C++ inference engine and runtime for Transformer models, designed to execute models on both CPU and GPU with optimizations for speed and memory efficiency. It functions as a model format converter, quantization tool, and REST API server, enabling deployment of neural machine translation, automatic speech recognition, and text generation models. The engine distinguishes itself through a suite of runtime optimizations including layer fusion, weight-matrix quantization, batch-by-length grouping, and a caching allocator that reuses GPU memory. It supports tensor-parallel model di
Computes log-probability scores for token sequences to evaluate model confidence or quality.
C++avxavx2cpp - arcinstitute/evo2
ArcInstitute/evo2
3,951Ver en GitHubevo2 is a genomic large language model and foundation model designed to predict, generate, and analyze genetic information across different species. It functions as a nucleotide sequence modeler and a DNA sequence generator, using transformer-based sequence modeling to process genomic data. The system provides capabilities for synthetic DNA generation, creating new genetic sequences based on biological prompts or species-specific tags. It also performs nucleotide likelihood prediction to score genomic variants and analyze biological properties within DNA sequences. The model supports genomic
Predicts the probability of specific nucleotides in a sequence to score genomic variants and biological properties.
Jupyter Notebook - ml-gsai/llada
ML-GSAI/LLaDA
3,580Ver en GitHubLLaDA is a masked diffusion language model and conditional text generator. It generates text by iteratively refining masked tokens through a diffusion process rather than predicting the next token in a sequence. The project functions as a vision-language diffusion model, converting visual inputs into text responses. It also serves as a preference optimization framework that uses log-likelihood estimation and evidence lower bounds to tune model responses. The system supports multi-round conversational AI and text sequence evaluation. It integrates vision-language embedding for cross-modal con
Measures the log-likelihood of text sequences to evaluate model predictive accuracy.
Python
