PyDigger - unearthing stuff about Python


NameVersionSummarydate
wisent-guard 0.4.26 Monitor and guard against harmful content in language models 2025-08-03 12:19:38
dhenara-agent 0.3.0 Dhenara Agent DSL (DAD) Framework SDK 2025-07-23 08:14:18
dhenara-ai 1.0.2 Dhenara Package for Multi Provider AI-Model API calls 2025-07-23 08:11:50
ntloss 0.0.2 Number Token Loss - A regression-alike loss to improve numerical reasoning in language models 2025-07-15 21:54:46
realtabformer 0.2.3 A novel method for generating tabular and relational data using language models. 2025-07-14 16:38:30
outlines 1.1.0 Probabilistic Generative Model Programming 2025-07-10 18:27:32
indoxArcg 0.0.11 Indox Retrieval Augmentation 2025-03-29 00:39:28
arbor-ai 0.1.3 A framework for fine-tuning and managing language models 2025-03-09 19:00:44
minicons 0.3.14 A package of useful functions to analyze transformer based language models. 2025-02-20 20:00:59
mblm 0.3.0 Multiscale Byte Language Model 2025-02-11 13:30:37
indoxRagHelper 0.0.3 Indox Retrieval Augmentation 2025-02-10 12:52:02
outlines-core 0.2.2 Structured Text Generation in Rust 2025-01-31 23:12:19
indoxRag 0.1.1 Indox Retrieval Augmentation 2025-01-13 16:04:11
indoxGen 0.2.0 Indox Synthetic Data Generation 2024-12-19 14:07:40
langagent 2.1.6 LangAgent is a versatile multi-agent system designed to streamline complex tasks such as research, automated code generation, logical reasoning, data analysis, and dynamic reporting. Powered by advanced language models, it integrates seamlessly with external APIs, databases, and a variety of data formats, enabling developers and professionals to automate workflows, extract insights, and generate professional-grade reports effortlessly. 2024-12-06 08:03:36
zip-fit 1.0.9 Data Selection via Compression-Based Alignment 2024-11-30 22:06:26
turkish-lm-tuner 0.1.4 Implementation of the Turkish LM Tuner 2024-11-17 13:28:24
synthid-text 0.2.1 SynthID Text: Identifying AI-generated text content 2024-11-14 14:43:58
TokenProbs 1.0.3 Extract token-level probabilities from LLMs for classification-type outputs. 2024-10-31 18:49:33
be-great 0.0.8 Generating Realistic Tabular Data using Large Language Models 2024-10-29 16:28:11
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