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TutorialsML/AI fundamentalsJupyter Notebook
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创建于 2017-11-12 · 更新于 2026-10-11 · 今日第 18180 名
主要开发者

cloudxlab/ml 排名第 18,180,有 506 个星标。

同类别比较

cloudxlab/ml 排名第 18,180,此处有 8 个同类条目;davidefiocco/streamlit-fastapi-model-serving 排名第 18,181。

同类别比较
名称排名指标
nosuggest/deep_learning18,116
语言:
Python
星标数:
509
分叉数:
255
简介:
基础的深度学习实验研究结果汇总笔记
Denis2054/Transformers-for-NLP-and-Computer-Vision-3rd-Edition18,128
语言:
Jupyter Notebook
星标数:
508
分叉数:
183
简介:
Transformers 3rd Edition
JifuZhao/120-DS-Interview-Questions18,149
语言:
Jupyter Notebook
星标数:
507
分叉数:
192
简介:
My Answer to 120 Data Science Interview Questions
rasbt/stat479-machine-learning-fs1818,161
语言:
Jupyter Notebook
星标数:
507
分叉数:
230
简介:
Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison
davidefiocco/streamlit-fastapi-model-serving18,181
语言:
Python
星标数:
506
分叉数:
92
简介:
Simple web app example serving a PyTorch model using streamlit and FastAPI
huggingface/large_language_model_training_playbook18,185
语言:
Python
星标数:
506
分叉数:
23
简介:
An open collection of implementation tips, tricks and resources for training large language models
gau-nernst/learn-cuda18,207
语言:
Cuda
星标数:
505
分叉数:
67
简介:
Learn CUDA with PyTorch
SmartFlowAI/Llama3-Tutorial18,226
语言:
Python
星标数:
504
分叉数:
53
简介:
Llama3-Tutorial(XTuner、LMDeploy、OpenCompass)
关键参数与规格
关键参数与规格
参数值
语言Jupyter Notebook
类别Tutorials
子类别ML/AI fundamentals
星标数506
分叉数479
贡献者8
创建日期2017-11-12
更新日期2026-10-11
1 天星标数0
7 天星标数0
排名18,180
上次排名17,942
排名变化-238
7 天星标排名16,518
上次 7 天星标排名16,532
7 天星标排名变化14
总星标排名19,183
上次总星标排名19,166
总星标排名变化-17
国家USA
README 摘录

This repository contains machine learning projects and notebooks for the course of CloudxLab Feel free to checkout and explore. NOTE ABOUT THE Notebook Diff: Usually the jupyter notebooks are unfriendly to diff. So, we have installed nbdime(See All you need to do to enable in git this: To know more about us click here

常见问题

记录了多少星标和分叉?

cloudxlab/ml 有 506 个星标和 479 个分叉。

仓库排名是多少?

cloudxlab/ml 排名第 18,180。

记录的语言和类别是什么?

cloudxlab/ml 有 506 个星标,语言为 Jupyter Notebook,类别为 Tutorials。

哪个仓库排名最接近?

cloudxlab/ml 与 davidefiocco/streamlit-fastapi-model-serving 比较,后者排名第 18,181,有 506 个星标。

README

This repository contains machine learning projects and notebooks for the course of CloudxLab Feel free to checkout and explore.

NOTE ABOUT THE Notebook Diff:

Usually the jupyter notebooks are unfriendly to diff. So, we have installed nbdime(See https://nbdime.readthedocs.io/en/latest/)

All you need to do to enable in git this: export PATH=/usr/local/anaconda/bin:$PATH cd ml nbdime config-git --enable

To know more about us click here

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