Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

Anthropic's educational courses

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

ARCHIVED: Contains historical course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL

Sharing both practical insights and theoretical knowledge about LLM evaluation that we gathered while managing the Open LLM Leaderboard and designing lighteval!

Transformer models from BERT to GPT-4, environments from Hugging Face to OpenAI. Fine-tuning, training, and prompt engineering examples. A bonus section with ChatGPT, GPT-3.5-turbo, GPT-4, and DALL…

Timeseries for everyone

Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt

Code for Machine Learning with TensorFlow: 2nd Edition Published by Manning Publications

Natural Language Processing with Large Language Models

Papers, code and slides for my session at the live@manning NLP conference, 2020 covering my talk on Deep Transfer Learning for Natural Language Processing

Session on MLOps

LlamaIndex Notebooks

Various and miscellaneous code fragments and hints