RT-1: Robotics Transformer, in PyTorch PyTorch re-implementation of RT-1. This model is based on 2022 paper "RT-1: Robotics Transformer for Real-World Control at Scale". Although this implementation exactly reproduces the original code unlike other PyTorch implementation such as lucidrains version...
A PyTorch re-implementation of the RT-1 (Robotics Transformer) with training and testing pipeline - rt1-torch/IO_rt1_demo.ipynb at main · sebbyjp/rt1-torch
2、精通Python、C++语言,精通至少一种开源框架,如Tensorflow、PyTorch、Keras等;熟悉各类算法模型,能够熟练运用分类、聚类、神经网络等模型解决业务场景问题。3、精通图像分类、目标检测、图像分割、多模态数据处理等相关算法的基础理论及项目经验,具有交通相关业务场景算法落地经验者优先考虑。4、具有模型转换、算法移植相关...
由于人工智能研究的爆炸式增长,每个云供应商也都开发了自己的语言。谷歌拥有TensorFlow,Facebook拥有Pytorch / Caffe 2等。即使人工智能框架拥有碎片化的困境,但该领域仍在快速增长。因为大家还在继续研究新算法,所以灵活的方法具有长期的拥有成本效益。这就是GPU(或FPGA)等灵活性加速器说擅长的,因为他们很容易适应新的...
Reproducing RT-1 in PyTorch This repository contains complete PyTorch implementation for RT-1 based on the paper: RT-1 Paper and implementation of RT-1 model by maruya24's RT-1: maruya24's RT-1 GitHub. Our implementation complete the training, validation pipeline, and soon-to-come evaluation...