← Latest products

AREnets

TensorFlow-based Relation Extraction kit for work in Colab. Tensorflow-based framework which lists attentive implementation of the conventional neural network models (CNN, RNN-based), applicable for Relation Extraction classification tasks as well as API for custom model implementation.

LibraryOpen source

8 stars · GitHubexternal site

Visit github.comexternal site

Reactions (1)

Similar products

by description similarity

  1. Flows

    app.athina.ai

    Google Colab meets Notion, designed for AI workflows

    Hacker News11 pts

  2. After joining a ML Study group and trying Google Colab I decided to create my own array programming language to help me learn and visualize machine learning.

    Hacker News11 pts

  3. A complete end-to-end pipeline for LLM interpretability with sparse autoencoders (SAEs) using Llama 3.2, written in pure PyTorch and fully reproducible.

    Hacker News579 pts

  4. Git Based Memory Storage for Conversational AI Agent

    Hacker News198 pts

  5. Autoregressive language models such as GPT and LLaMA have a tendency to hallucinate when asked about out-of-domain questions.

    Hacker News12 pts