Stars
🤗 smolagents: a barebones library for agents. Agents write python code to call tools and orchestrate other agents.
Aguvis: Unified Pure Vision Agents for Autonomous GUI Interaction
Language Models as Hierarchy Encoders
Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications
Hyperbolic Visual Embedding Learning for Zero-Shot Recognition (CVPR 2020)
Official PyTorch implementation of Hyperbolic Neural Networks++
An interpreter for RASP as described in the ICML 2021 paper "Thinking Like Transformers"
PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"
The repository for Hyperbolic Representation Learning for Computer Vision, ECCV 2022
[NeurIPS '24] Code repo for the paper entitled "Learning Structured Representations with Hyperbolic Embeddings" at NeurIPS 2024
An extension of the PyTorch library containing various tools for performing deep learning in hyperbolic space.
This repository is related to 'Intriguing Properties of Hyperbolic Embeddings in Vision-Language Models', published at TMLR (2024), https://openreview.net/pdf?id=P5D2gfi4Gg
Facilitating learning, using, and designing graph processing pipelines/models systematically.
RAVEN: A Dataset for Relational and Analogical Visual rEasoNing
This repository consists of all the material required for cracking the coding rounds and technical interviews during placements.
Run PyTorch LLMs locally on servers, desktop and mobile
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…
An AI agent that writes (actually useful) code for you
PyTorch Implementation of the paper "Towards Learning Abductive Reasoning using VSA Distributed Representations".
Implementation of the DIVA model of speech acquisition and production using PyTorch
PyTorch Implementation of the paper "A Neuro-vector-symbolic architecture for Solving Raven's Progressive Matrices" published in Nature Machine Intelligence 2023.
PyTorch Implementation of the paper "Probabilistic Abduction for Visual Abstract Reasoning via Learning Rules in Vector-symbolic Architectures" published in the 3rd Workshop on Mathematical Reasoni…
Random Forest implementation for JavaScript. Supports arbitrary weak learners. Includes interactive demo.
Support Vector Machine in Javascript (SMO algorithm, supports arbitrary kernels) + GUI demo
Collection of Hyperdimensional Computing Projects