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Python - 100天从新手到大师
A latent text-to-image diffusion model
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
A collection of various deep learning architectures, models, and tips
《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
Companion webpage to the book "Mathematics For Machine Learning"
wtfpython的中文翻译/持续🚧.../ 能力有限，欢迎帮我改进翻译
OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image genera…
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
利用Python进行数据分析 第二版 (2017) 中文翻译笔记
Homepage for STAT 157 at UC Berkeley
简单粗暴 TensorFlow 2 | A Concise Handbook of TensorFlow 2 | 一本简明的 TensorFlow 2 入门指导教程
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可
Notes about courses Dive into Deep Learning by Mu Li
PyTorch入门教程，在线阅读地址：https://datawhalechina.github.io/thorough-pytorch/
HuggingLLM, Hugging Future.
温州大学《机器学习》课程资料（代码、课件等）
deeplearning.ai , By Andrew Ng, All slide and notebook + data + solutions and video link
《机器学习理论导引》（宝箱书）的证明、案例、概念补充与参考文献讲解。
《机器学习》（西瓜书）代码实战
Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals
Python for Materials Machine Learning, Materials Descriptors, Machine Learning Force Fields, Deep Learning, etc.
聪明办法学Python，简明且系统的 Python 入门教程第二版。
Things that you should (and should not) do in your Materials Informatics research.