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ML from Scratch
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
Building Convolutional Neural Networks From Scratch using NumPy
This repository is part of a "Machine Learning from Scratch" seminar at Harvard Medical School.
Understanding Deep Learning - Simon J.D. Prince
AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Code examples in pyTorch and Tensorflow for CS230
《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
ML foundations course by jon krohn (Udemy)
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
Essential mathematics for applied machine learning and data science
Python Tools for Data Science, Machine Learning, and Scientific computing
Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)
A Comprehensive Implementation of Transformers Architecture from Scratch
A Simplified PyTorch Implementation of Vision Transformer (ViT)
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Python code (in the form of Jupyter ipython notebooks) to support the book "Math and Architectures of Deep Learning" (Krishnendu Chaudhury with Ananya Ashok, Sujay Narumanchi, Devashish Shankar).
🚀 Curated collection of Amazing Python scripts from Basics to Advance with automation task scripts.
All Algorithms implemented in Python
『ゼロから作る Deep Learning ❸』(O'Reilly Japan, 2020)
🇨🇳 GitHub中文排行榜，各语言分设「软件 | 资料」榜单，精准定位中文好项目。各取所需，高效学习。