huggingface

[IEEE TGRS 2025] Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices

Uses GPT2 to simulate your friends

4th Place solution for the Kaggle CommonLit Readability Prize

Reddit AI Agent is an intelligent tool that helps you explore Reddit like never before! 🔎 It allows you to search for any query and fetch top Reddit threads along with their most relevant comments. 🚀

Run Vision LLMs, TTS and STT APIs. Website and API for https://text-generator.io

C++企业微信消息推送服务器

An interactive AI chatbot for querying and discussing the contents of PDF documents using Streamlit and OpenAI/other AI language models.

.NET library for local embedding generation using ONNX and Microsoft.Extensions.AI

DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling

Convert Hugging Face tokenizers to ONNX models for cross-language compatibility (.NET, Java, Python) with embedding models

Inverse DALL-E for Optical Character Recognition

Train YOLO + VLM with one command. Auto-generate vision-language training data from YOLO labels - no extra labeling needed.

Developed a custom application of the Segment Anything Model (SAM) for breast cancer tissue segmentation, utilizing Hugging Face's Transformers and fine-tuning the decoder to predict segmentation masks in medical imaging.

CodeSwitch is a NLP tool, can use for language identification, pos tagging, name entity recognition, sentiment analysis of code mixed data.

PaperChat - cli, API and ChatGPT plugin to query arXiv's dataset

Building a model to recognize incentives for landscape restoration in environmental policies from Latin America, the US and India. Bringing NLP to the world of policy analysis through an extensible framework that includes scraping, preprocessing, active learning and text analysis pipelines.

Fine-tune Mistral 7B to generate fashion style suggestions

Run zero-shot prediction models on your data

Latxa: An Open Language Model and Evaluation Suite for Basque

Master thesis with code investigating methods for incorporating long-context reasoning in low-resource languages, without the need to pre-train from scratch. We investigated if multilingual models could inherit these properties by making it an Efficient Transformer (s.a. the Longformer architecture).