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
47,133 repositories indexed
1–24 of 58 · Most stars
🦍 The API and AI Gateway
- api-gateway
- microservices
- api-management
- serverless
Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.
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
🚀 A curated collection of AI engineering resources, roadmaps, tools, and projects covering LLMs, RAG, AI Agents, MCP, fine-tuning, evaluations, and production AI systems.
- agentic-ai
- ai-agents
- ai-engineering
- ai-projects
An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
Face recognition with deep neural networks.
A framework for few-shot evaluation of language models.
- evaluation-framework
- language-model
- transformer
Nmap - the Network Mapper. Github mirror of official SVN repository.
- c-plus-plus
- lua
- security
- port-scanner
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
- gan
- generative-adversarial-network
- deep-learning
- image-generation
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
BISHENG is an open LLM devops platform for next generation Enterprise AI applications. Powerful and comprehensive features include: GenAI workflow, RAG, Agent, Unified model management, Evaluation, SFT, Dataset Management, Enterprise-level System Management, Observability and more.
:metal: awesome-semantic-segmentation
- semantic-segmentation
- benchmark
- evaluation
- deeplearning
Image-to-image translation with conditional adversarial nets
the LLM vulnerability scanner
- ai
- llm-evaluation
- llm-security
- security-scanners
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
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
Open-Source Agent Observability & Evals for AI Platform teams. Trace, test, route and govern every agent & coding assistant in the company.
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
Neovim 🤝 OpenCode in the flow that you already know.
Blazing-fast, Neuro-symbolic Data-Wrangling toolkit
- csv
- data-wrangling
- opendata
- data-engineering
A Go framework for building production agent systems with graph workflows, tools, memory, A2A, AG-UI, MCP, evaluation, and observability.
(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"
Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave