The job search that runs on your machine. AI job application framework built on Claude Code: evaluate postings, tailor CVs, write cover letters, prep interviews. Fork it and own it.
- ai
- ai-agents
- career
- claude-code
Repository Index
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The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
- machine-learning
- ai
- ml
- mlflow
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.com/pymc-devs/pytensor
Easily fine-tune (SFT/RL), evaluate, and deploy Qwen, Gemma, or any open agentic LLM/VLM!
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
- data-drift
- jupyter-notebook
- pandas-dataframe
- machine-learning
AI agent to evaluate and score resumes.
Translated达尔文.skill (Darwin.skill) — a system that lets your Skill evolve endlessly: evaluate → improve → test → keep or revert | Autoresearch-inspired autonomous skill optimization for Claude Code. Evaluate, improve, test, keep or revert.
- agent-skills
- ai-agents
- autoresearch
- claude-code
Train and evaluate embeddings for similarity search with PyTorch. Includes contrastive losses, hard example mining, samplers, and retrieval metrics.
- metric-learning
- deep-learning
- computer-vision
- machine-learning
🧊 Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23 🍓
- large-language-models
- prompt-engineering
- agent-monitoring
- analytics
Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more.
- ai
- chain-of-thought
- collaboration
- dataset-generation
The open source research environment for AI researchers to seamlessly train, evaluate, and scale models from local hardware to GPU clusters.
Most popular metrics used to evaluate object detection algorithms.
- metrics
- object-detection
- average-precision
- mean-average-precision
An agentic extractor for messaging platforms. Noria receives messages & URLs via chat; scrapes web data to evaluate the content against custom scoring matrices (e.g., jobs, scholarships); and sends a structured summary with a calculated match score directly to the assigned messenger number.
- ai-agent
- automation
- data-extraction
- event-driven-architecture
Track and evaluate the performance of your investment portfolio across stocks, cryptocurrencies, and other assets.
- eclipse
- investment-portfolio
- java
- financial
Code, Build and Evaluate agents - excellent Model and Skills/MCP/ACP/A2A Support
A Comprehensive Benchmark to Evaluate LLMs as Agents (ICLR'24)
This repository contains the code to train and evaluate TRIBE v2, a multimodal model for brain response prediction
Comet: agent skill harness for turning ideas into evaluated workflows
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
- machine-learning
- pascal-voc
- average-precision
- ground-truth
Provides an engine that can compile and evaluate expressions
Code to pretrain, fine-tune, and evaluate DreamZero and run sim & real-world evals
Trigger functions or evaluate cron expressions in JavaScript or TypeScript. No dependencies. Most features. Node. Deno. Bun. Browser.
- cron
- scheduling
- crontab
- crontab-syntax
🤗 Evaluate: A library for easily evaluating machine learning models and datasets.
- evaluation
- machine-learning