Stars
👻 Ghostty is a fast, feature-rich, and cross-platform terminal emulator that uses platform-native UI and GPU acceleration.
Verify Precision of all Kimi K2 API Vendor
Chat with your CSVs easily & generate charts
prompt engineering experiments with DSPy GEPA and TextGrad
Intelligent Router for Mixture-of-Models
Provider-agnostic, open-source evaluation infrastructure for language models
This repo is for the Linkedin Learning course: Introduction to AI-Native Vector Databases
Measuring Thinking Efficiency in Reasoning Models - Research Repository
Synthetic data curation for post-training and structured data extraction
Claude Code to OpenAI API Proxy
Kimi K2 is the large language model series developed by Moonshot AI team
Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen2.5, Qwen3, Llama, and more!
Use Kimi latest model(kimi-k2-0711-preview) to drive your Claude Code.
An OpenAPI API specifications file describes an API in its entirety and are typically written in YAML or JSON. including: Endpoints: which are available (/users) and operations on each (GET /users,…
Open AI data scientist agent that automates complex data analysis tasks using the ReAct framework. Execute Python code locally or in the cloud, upload datasets, and generate detailed analytical rep…
LEAKED SYSTEM PROMPTS FOR CHATGPT, GEMINI, GROK, CLAUDE, PERPLEXITY, CURSOR, DEVIN, REPLIT, AND MORE! - AI SYSTEMS TRANSPARENCY FOR ALL! 👐
The Official Python Client for Together's API
A course in git for the uninitiated using the "hard way" method
Minimal and annotated implementations of key ideas from modern deep learning research.
A high-throughput and memory-efficient inference and serving engine for LLMs
FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus Agent Tools, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae…
Together Open Deep Research
Democratizing Reinforcement Learning for LLMs