machine-learning

The repository for the exclusive Daily Paper Club hosted at Agora every 10pm NYC time at this discord: https://discord.gg/Gnzh6dnzyz

This repository provides the official resources for EMNLP 2025 Paper Grounding Multilingual Multimodal LLMs With Cultural Knowledge

Incorporate Image, Text and Tabular Data with HuggingFace Transformers

预训练模型知识量度量竞赛 Baseline F1 0.35 BERTForMaskedLM

🧠 Multimodal Retrieval-Augmented Generation that "weaves" together text and images seamlessly. 🪡

Unsupervised specificity-guided optimization of Image Captioning models to encourage meaningful diversity in the generated captions. Code for the paper Generating Diverse and Meaningful Captions: Unsupervised Specificity Optimization for Image Captioning (Lindh et al., 2018).

Runtime detector for reward hacking and misalignment in LLM agents (89.7% F1 on 5,391 trajectories).

A 🔥 cookiecutter template for building Hugging Face Spaces

The ultimate desktop app for tracking, managing, and validating AI models from Hugging Face, Civitai, OpenModelDB & more.

Visual tool to compare 6 RAG chunking strategies side-by-side with grading and query selection

An AI-powered search engine to interact with documentation using RAG and local LLMs. Privately deployable with vector search and a modern frontend.

FloatChat AI is a conversational AI platform for ARGO Ocean Data Discovery and Visualization, providing accurate and interactive tools to explore oceanographic data. Built with Python, LangChain, Pandas, and machine learning models, it makes complex ocean data accessible and actionable for researchers and enthusiasts.

QDrant-NLP

A Multimodal Discord bot with machine learning functions, including LLM chat, Image generation, and Speech Generation capabilities

LLM inference engine built from scratch in C++. No PyTorch, no frameworks.

An automated solution for fact-checking using available claims and fake-news datasets to fine-tune state-of-the-art language models published recently for NLP tasks (BERT, RoBERTa, XLNet, ConvBERT...) in order to classify unseen claims.

A fine tuned yolov111 model to detect fire

This project aims to develop an innovative anomaly detection system using advanced data mining and deep learning techniques to accurately identify and localize defects in manufacturing components, thereby enhancing quality control processes and reducing production losses.

Code the ICML 2024 paper: "Variance-reduced Zeroth-Order Methods for Fine-Tuning Language Models"

CatIss is an intelligent tool for automatic categorization of issue reports based on the RoBERTa model.