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farbodtavakkoli / OTel

Star 35

Open Telco (OTel) AI: an open ecosystem of telecom models, datasets, benchmarks, and reproducible training and inference recipes. A shared AI foundation that gives operators the freedom to choose their models, software, hardware, and infrastructure.

telecom embeddings benchmarks datasets quantization telecommunications nvidia-cuda reranking distributed-training fine-tuning post-training apple-silicon llm-training llm-inference aws-neuron retrieval-augmented-generation-rag large-language-models-llms amd-rocm open-telco-ai ai-agents-training
  • Updated Nov 12, 2026
  • Python

ReverendBayes / Telecom-Churn-Predictor

Star 6

Predicts which telecom customers are likely to churn with 95% accuracy using real-world data features from usage, billing, and support data. Implements Sturges-based binning, one-hot encoding, stratified 80/20 train-test split, and a two-level ensemble pipeline with soft voting. Achieves 94.60% accuracy, 0.8968 AUC, 0.8675 precision, 0.7423 recall.

python customer-retention machine-learning reproducible-research naive-bayes scikit-learn telecom xgboost classification ensemble-learning logistic-regression decision-trees feature-engineering predictive-modeling churn-prediction model-evaluation real-world-data stratified-sampling joblib stacked-ensemble
  • Updated Aug 21, 2025
  • Python

patibandlavenkatamanideep / relayops

Star 6

Production-shaped control plane for AI support agents: scoped routing, policy broker, tool boundaries, approval queue, replay verification, audit traces, and human handoff. Prototype on synthetic/sample data — no production users.

mcp customer-support telecom railway lora ai-safety human-in-the-loop audit-trail fine-tuning rag fastapi guardrails streamlit ai-agent support-automation qwen llm-evaluation agentic-ai
  • Updated Jul 6, 2026
  • Python

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