sjlgg / tuning_playbook_zh-CN
对[Deep Learning Tuning Playbook](https://github.com/google-research/tuning_playbook) 的翻译
☆55Updated 2 years ago
Alternatives and similar repositories for tuning_playbook_zh-CN:
Users that are interested in tuning_playbook_zh-CN are comparing it to the libraries listed below
- 对Deep Learning Tuning Playbook的翻译☆53Updated 2 years ago
- 《Deep Learning Tuning Playbook》中文翻译版本☆123Updated last year
- A template for rapid deployment of PyTorch models.☆65Updated 2 years ago
- 图深度学习(葡萄书),在线阅读地址: https://datawhalechina.github.io/grape-book☆227Updated 11 months ago
- ☆227Updated last year
- 《科研论文配图》组队学习☆80Updated last year
- 《解构大语言模型:从线性回归到通用人工智能》配套代码☆191Updated 3 months ago
- To be the world's best PyTorch project template.☆504Updated 2 years ago
- mrdbourke_pytorch-deep-learning 汉化☆25Updated 2 years ago
- ☆73Updated 11 months ago
- Pytorch Implementations of large number classical backbone CNNs, data enhancement, torch loss, attention, visualization and some common…☆1,099Updated 3 years ago
- Quickly bring up your PyTorch project(a skeleton)☆732Updated 2 years ago
- 解锁HuggingFace生态的百般用法☆88Updated 4 months ago
- ☆218Updated last month
- 基于科研论文导向的可视化绘图集锦☆158Updated last month
- 深度学习中各种即插即用小模块☆385Updated last year
- deep learning template code☆65Updated 9 months ago
- How to use wandb?☆634Updated last year
- 包含PlotNeuralNet绘制神经网络结构图的教程源码☆201Updated 5 years ago
- ☆152Updated 9 months ago
- 帮助新手快速入门、快速使用、习惯 OpenMMLab 开源库官方文档且能够自主上手实验,自由选择阅读更深层的知识。☆62Updated 2 years ago
- Problem E of the 2023 Huawei Cup Graduate Mathematical Modeling Competition (2023年华为杯研究生数学建模E题)☆20Updated 8 months ago
- 本项目记录了互联网大厂 Java 开发岗位的学习记录及高频面试题。☆13Updated 5 months ago
- 博客论文列表:分系列整理☆388Updated last year
- 人工智能:现代方法(第4版)笔记☆49Updated 2 years ago
- autoLiterature是一个基于Python的自动文献管理命令行工具☆386Updated 4 months ago
- 博客配套视频链接: https://space.bilibili.com/383551518?spm_id_from=333.1007.0.0 b 站直接看 配套 github 链接:https://github.com/nickchen121/Pre-trainin…☆415Updated 2 years ago
- 深度学习/计算机视觉/多模态/机器学习/人工智能零基础理论/实战教程汇总分享☆140Updated 2 years ago
- yolo master 本课程主要对yolo系列模型进行介绍,包括各版本模型的结构,进行的改进等,旨在帮助学习者们可以了解和掌握主要yolo模型的发展脉络,以期在各自的应用领域可以进一步创新并在自己的任务上达到较好的效果。☆74Updated 2 weeks ago
- 基于节点编辑器开发的用于可视化构建神经网络的神器。Based on node editor development artifacts for visualization to build neural networks.☆33Updated last year