anuragk1121/First-Principles-Deep-Learning

🧠 Build and understand core deep learning architectures from scratch using NumPy, exploring the fundamentals behind AI through hands-on coding.

/ 100

Experimental

No License No Package No Dependents

Maintenance 13 / 25

Adoption 0 / 25

Maturity 1 / 25

Community 0 / 25

Stars

—

Forks

—

Language

—

License

—

Category

Last pushed

Mar 18, 2026

Commits (30d)

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/anuragk1121/First-Principles-Deep-Learning"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

skygazer42/DL-Hub

llms 大模型笔记50篇此仓库包含关于机器学习、深度学习、计算机视觉、自然语言处理、大模型爬虫等领域项目实战

PaddlePaddle/awesome-DeepLearning

深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI

foochane/books

整理一些书籍 ,包含 C&C++ 、git 、Java、Keras 、Linux 、NLP 、Python 、Scala 、TensorFlow 、大数据、推荐系统、数据库、数据挖掘...

cs230-stanford/cs230-code-examples

Code examples in pyTorch and Tensorflow for CS230

openAGI/tefla

Tensorflow based deep-learning library.