🛠 MLOps end-to-end guide and tutorial website, using IBM Watson, DVC, CML, Terraform, Github Actions and more.

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A tool for glamorous shell scripts 🎀

A set of beautifully-designed, accessible components and a code distribution platform. Works with your favorite frameworks. Open Source. Open Code.

Shadcn UI example collection

Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.

RAG-GPT, leveraging LLM and RAG technology, learns from user-customized knowledge bases to provide contextually relevant answers for a wide range of queries, ensuring rapid and accurate information…

All the tools related to MC/DC test-case generation and adequacy checker are added here.

Tool for automatic MC/DC in C and in Python.

Philips Hue app for Homey that uses ZigBee directly. No need for bridge.

LangChain 을 더 쉽게 구현하기 위한 유틸 함수, 클래스를 만들어서 패키지로 배포하였습니다.

LangChain 공식 Document, Cookbook, 그 밖의 실용 예제를 바탕으로 작성한 한국어 튜토리얼입니다. 본 튜토리얼을 통해 LangChain을 더 쉽고 효과적으로 사용하는 방법을 배울 수 있습니다.

Go ahead and axolotl questions

무료로 한국어🇰🇷 파인튜닝 모델 받아서 로컬 LLM 호스팅. LangServe, Ollama, streamlit + RAG

A testing micro framework for creating function test doubles

llama_repository

Inference code for LLaMA models on CPU and Mac M1/M2 GPU

Automate Tinder swiping and introductions with Eigenfaces and StanfordNLP. NOTE: support for this project has been sunset, and the original author has since directed efforts towards Bernie AI.

Compare neural networks by their feature similarity

CodeXGLUE

State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!

🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools

Python libraries for Google Colaboratory

Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek-R1, Qwen3, Gemma 3, TTS 2x faster with 70% less VRAM.

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

Train transformer language models with reinforcement learning.

Run AI models locally on your machine with node.js bindings for llama.cpp. Enforce a JSON schema on the model output on the generation level