Awesome GitHub RepositoriesModel Benchmarks

JARVIS is a system for large language model task orchestration, deployment management, and automation benchmarking. It utilizes a task orchestrator to decompose complex requests into actionable steps and coordinates various expert models to synthesize final responses. The project includes an AI model deployment manager to handle the local deployment of expert models across different hardware scales. It further provides an AI workflow API consisting of web endpoints used to trigger automated task workflows and retrieve results from model selection stages. The framework incorporates an automat

This project is a comprehensive repository and curated index of resources, research papers, and development frameworks designed to support the construction and deployment of intelligent systems. It serves as a centralized knowledge base for developers seeking to navigate the technical landscape of artificial intelligence, ranging from foundational educational materials to specialized implementation guides. The repository distinguishes itself by providing structured directories for comparing generative artificial intelligence providers, including aggregated performance metrics, pricing data, a

llm-numbers هي مجموعة من أدوات الحساب والمعايير المستخدمة للتنبؤ بمتطلبات الأجهزة، واستخدام الرموز، والتكاليف التشغيلية عبر مستويات النماذج المختلفة. توفر حاسبة للتكلفة والموارد بناءً على صيغ ومعايير لتقدير الرموز، وذاكرة GPU، والنفقات التشغيلية لنماذج اللغة الكبيرة. يتضمن المشروع مخططاً لمتطلبات الأجهزة لحساب VRAM وذاكرة GPU اللازمة لاستضافة النماذج بناءً على عدد المعلمات. كما يتميز بمقدر للرموز يحول عدد الكلمات إلى تقديرات رموز للتنبؤ بفواتير واجهة برمجة التطبيقات واستخدام نافذة السياق، إلى جانب معايير التسعير التي تقارن التكاليف ومقايضات الإنتاجية بين طرق الاستضافة المختلفة. تغطي مجموعة الأدوات قياس أداء نماذج الذكاء الاصطناعي وتوقعات التكلفة، وتخطيط موارد GPU، وتحليل الأداء لقياس مكاسب الإنتاجية من التجميع (batching). تستخدم صيغاً حتمية ومجموعات بيانات معيارية ثابتة لتعيين المعلمات إلى الذاكرة وحساب نسب التكلفة والعائد بين النماذج الأساسية والضبط الدقيق.

This project is a language model evaluation framework and benchmarking tool designed to measure the accuracy and performance of models across diverse datasets. It provides a system for implementing model-based graders, running standardized tests for mathematical reasoning, coding, and factuality, and calculating quantified performance metrics such as precision, recall, F1 scores, and pass-at-k. The framework utilizes model-based grading and rubrics to validate response quality against expert-defined criteria. It includes a multi-model benchmarking loop and a model-agnostic API interface to co

This project is an LLM research orchestrator and autonomous AI agent framework designed to automate the scientific lifecycle. It functions as an end-to-end research pipeline and model training toolkit, managing everything from initial literature reviews and hypothesis testing to the final drafting of academic papers. The system is distinguished by its ability to convert unstructured academic PDFs into machine-executable knowledge layers, allowing agents to reproduce and extend research findings. It employs a two-loop orchestration architecture and a specialized research engineering skill libr

Awesome Coding Plan is a community-driven knowledge repository that provides a comparative analysis of subscription-based coding environments and artificial intelligence development tools. It functions as a tracker for developer tool costs, aggregating data on pricing structures, usage quotas, and token limits to assist in the selection of cloud-based coding services. The project utilizes a standardized framework to evaluate the performance and economic efficiency of various language models. By organizing technical metrics into a unified format, it allows for the objective assessment of proce