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

视频学习 机器学习概述 机器学习 (Machine Learning) 是对研究问题进行模型假设，利用计算机从训练数据中学习得到模型参数，并最终对数据进行预测和分析的一门学科。 机器学习的过程 模型分类 无监督学习：样本没有标记。无监督学习从数据中学习模式，适用于描述数据，目的在于发现数据中模式/有