Pytorch 基础

JupyterLab for AI in Docker! Anaconda and PyTorch GPU supported.

Simple tests for JAX, PyTorch, and TensorFlow to test if the installed NVIDIA drivers are being properly picked up

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Simple official pytorch 1.0.0 image with conda tensorflow-gpu & pip tensorboardX installations

A complete machine vision container that includes Jupyter notebooks with built-in code hinting, Anaconda, CUDA 11, TensorRT inference accelerator for Tensor cores, CuPy (GPU drop in replacement for Numpy), PyTorch, PyTorch geometric for Graph Neural Networks, TF2, Tensorboard, and OpenCV for accelerated workloads on NVIDIA Tensor cores and GPUs.

Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks

pytorch基础知识学习 文章目录 pytorch基础知识学习 前言 一、pytorch的数据类型 1.类型检验 2.数据类型介绍 3.补充 二、创建Tensor 1.从numpy创建 2.初始化Tensor 3.设置默认的数据类型 4.随机设置Tensor 前言 介绍了基于pytorch的深度学