George

@Natyren · User

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research scientist

25 followers103 repositories

Repositories

Natyren/lerobot

🤗 LeRobot: End-to-end Learning for Real-World Robotics in Pytorch

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Natyren/Awesome-RL-based-Reasoning-MLLMs

This repository provides valuable reference for researchers in the field of multimodality, please start your exploratory travel in RL-based Reasoning MLLMs!

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Natyren/MixedAE

This is open-source implementation of MixedAE (https://arxiv.org/pdf/2303.17152.pdf)

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Natyren/verl-agent

verl-agent is an extension of veRL, designed for training LLM/VLM agents via RL. verl-agent is also the official code for paper "Group-in-Group Policy Optimization for LLM Agent Training"

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Natyren/CogVLM

a state-of-the-art-level open visual language model | 多模态预训练模型

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Natyren/trackio

A lightweight, local-first, and free experiment tracking Python library built on top of 🤗 Datasets and Spaces.

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Natyren/videogamebench

Benchmark environment for evaluating vision-language models (VLMs) on popular video games!

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Natyren/WebShop

[NeurIPS 2022] 🛒WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents

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Natyren/ERQA

Embodied Reasoning Question Answer (ERQA) Benchmark

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Natyren/noreward-rl

[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning

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Natyren/deer-flow

DeerFlow is a community-driven framework for deep research, combining language models with tools like web search, crawling, and Python execution, while contributing back to the open-source community.

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Natyren/ViT-Prisma

ViT Prisma is a mechanistic interpretability library for Vision Transformers (ViTs).

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Natyren/EmbodiedBench

Official repo of EmbodiedBench, a comprehensive benchmark designed to evaluate MLLMs as embodied agents.

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Natyren/lmms-eval

Accelerating the development of large multimodal models (LMMs) with one-click evaluation module - lmms-eval.

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Natyren/trl

Train transformer language models with reinforcement learning.

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Natyren/AFFiNE

There can be more than Notion and Miro. AFFiNE(pronounced [ə‘fain]) is a next-gen knowledge base that brings planning, sorting and creating all together. Privacy first, open-source, customizable and ready to use.

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