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krishnaik06

Machine-Learning-in-90-days

TutorialsMLE roadmapJupyter Notebook
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创建于 2019-09-23 · 更新于 2026-10-12 · 今日第 10410 名
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krishnaik06

krishnaik06/Machine-Learning-in-90-days 排名第 10,410，有 1,413 个星标。

同类别比较

krishnaik06/Machine-Learning-in-90-days 排名第 10,410，此处有 8 个同类条目；SkalskiP/ILearnDeepLearning.py 排名第 10,412。

同类别比较
名称排名指标
fmind/mlops-python-package10,389
语言:
Python
星标数:
1,419
分叉数:
199
简介:
Production-shaped MLOps Python package and reference implementation of the MLOps Coding Course: MLflow, scikit-learn, Pydantic, Pandera, uv, and mise.
musikalkemist/AudioSignalProcessingForML10,390
语言:
Jupyter Notebook
星标数:
1,419
分叉数:
458
简介:
Code and slides of my YouTube series called "Audio Signal Proessing for Machine Learning"
datawhalechina/hugging-multi-agent10,391
语言:
CSS
星标数:
1,418
分叉数:
160
简介:
A tutorial based on MetaGPT to quickly help you understand the concept of agent and muti-agent and get started with coding development. 基于MetaGPT的多智能体入门与开发教程
adrianhajdin/project_openai_codex10,397
语言:
JavaScript
星标数:
1,417
分叉数:
723
简介:
Build and Deploy Your Own ChatGPT AI Application That Will Help You Code
SkalskiP/ILearnDeepLearning.py10,412
语言:
Jupyter Notebook
星标数:
1,412
分叉数:
459
简介:
This repository contains small projects related to Neural Networks and Deep Learning in general. Subjects are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.
deeplearningzerotoall/PyTorch10,416
语言:
Jupyter Notebook
星标数:
1,410
分叉数:
1,366
简介:
Deep Learning Zero to All - Pytorch
hahhforest/pi-textbook10,437
语言:
TypeScript
星标数:
1,403
分叉数:
83
简介:
《动手学 Pi》：沿 15 个真实 checkpoint 从零构建 Pi-style Agent
m0n0x41d/haft10,460
语言:
Go
星标数:
1,398
分叉数:
101
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MLE roadmap
星标数1,413
分叉数1,598
贡献者1
创建日期2019-09-23
更新日期2026-10-12
1 天星标数0
7 天星标数0
排名10,410
上次排名10,410
排名变化0
7 天星标排名12,611
上次 7 天星标排名9,929
7 天星标排名变化-2,682
总星标排名8,490
上次总星标排名8,484
总星标排名变化-6
国家India
常见问题

记录了多少星标和分叉？

krishnaik06/Machine-Learning-in-90-days 有 1,413 个星标和 1,598 个分叉。

仓库排名是多少？

krishnaik06/Machine-Learning-in-90-days 排名第 10,410。

记录的语言和类别是什么？

krishnaik06/Machine-Learning-in-90-days 有 1,413 个星标，语言为 Jupyter Notebook，类别为 Tutorials。

哪个仓库排名最接近？

krishnaik06/Machine-Learning-in-90-days 与 SkalskiP/ILearnDeepLearning.py 比较，后者排名第 10,412，有 1,412 个星标。

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Machine-Learning-in-90-days

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