huggingface

Easiest way of fine-tuning HuggingFace video classification models

[Course-2020-2023] taught at Duke MIDS. This is also a Coursera Course that covers MLOps, ML Engineering and the foundations of Cloud Computing for Data Science.

<트랜스포머를 활용한 자연어 처리> 예제 코드를 위한 저장소입니다.

Universal Python SDK to run AI workloads on Kubernetes

This AI Does Not Exist: generate realistic descriptions of made-up machine learning models.

An LLM interface (chat bot) implemented in pure Rust using HuggingFace/Candle over Axum Websockets, an SQLite Database, and a Leptos (Wasm) frontend packaged with Tauri!

A performant high-throughput CPU-based API for Meta's No Language Left Behind (NLLB) using CTranslate2, hosted on Hugging Face Spaces.

Agentic RAG, Multi-Agent Systems, and Vision Reasoning are three pipelines to find the perfect LLM

VLM driven tool that processes surveillance videos, extracts frames, and generates insightful annotations using a fine-tuned Florence-2 Vision-Language Model. Includes a Gradio-based interface for querying and analyzing video footage.

Run local LLM from Huggingface in React-Native or Expo using onnxruntime.

Timething is a library for aligning text transcripts with their audio recordings.

Simple Implementation of Pix2Seq model for object detection in PyTorch

DrugGPT: A GPT-based Strategy for Designing Potential Ligands Targeting Specific Proteins

Accelerated NLP pipelines for fast inference on CPU and GPU. Built with Transformers, Optimum and ONNX Runtime.

<밑바닥부터 만들면서 공부하는 LLM>(길벗, 2025)의 코드 저장소

Easy to use Stable diffusion workflows using diffusers

A simple NPM interface for seamlessly interacting with 36 Large Language Model (LLM) providers, including OpenAI, Anthropic, Google Gemini, Cohere, Hugging Face Inference, NVIDIA AI, Mistral AI, AI21 Studio, LLaMA.CPP, and Ollama, and hundreds of models.

A little wrapper for hugging face transformers in C#

AI Mock Interviewer

🦑 Unified Swift SDK for LLM inference across local and cloud providers