Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
- gpt
- large-language-models
- llm
- python
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Python Data Science Handbook: full text in Jupyter Notebooks
- scikit-learn
- numpy
- python
- jupyter-notebook
Learn how to develop, deploy and iterate on production-grade ML applications.
This is a repo with links to everything you'd ever want to learn about data engineering
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
TranslatedThe pytorch handbook is an open-source book that aims to help friends who want to use PyTorch for deep learning development and research get started quickly. All of the PyTorch tutorials it contains have been tested to ensure they run successfully.
- pytorch
- pytorch-tutorials
- pytorch-handbook
- deep-learning
TranslatedCode implementation of 《统计学习方法》 (Statistical Learning Methods)
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Translated🌊Deeply integrates top global academic, financial, and educational resources: the academic section gathers papers from authoritative platforms such as JSTOR, Taylor & Francis, and Cambridge University Press, and connects to the vast e-book collection of the Z-Library shadow library; the education section includes textbooks from Hong Kong and Singapore, from primary school through high school, as well as university subject textbooks; the financial section aggregates in-depth research reports from top institutions such as Citron (香橼), Morgan, and Nomura, all in order to break down information silos and build an inclusive knowledge base that provides equal access to knowledge.
- academic
- economics
- humanities
- research
Sample code for Channel 9 Python for Beginners course
22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.
https://hrl.boyuai.com/
🚀 An open-source, hands-on curriculum bridging the gap from basic RL concepts to LLM alignment, RLVR, and advanced Agentic systems.
- agent
- agentic
- agentic-ai
- agentic-rl
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
- data-science
- machine-learning
- deep-learning
- data-portfolio
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
Build a modern LLM from scratch. Every line commented. Explained like we are five.
- attention-mechanism
- deep-learning
- educational
- from-scratch
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
This is Andrew NG Coursera Handwritten Notes.
- andrewng
- andrew-ng
- andrew-ng-course
- andrew-ng-machine-learning
Lectures on scientific computing with python, as IPython notebooks.
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
- causal-inference
- python
- causality
- data-science
Learn how to design, develop, deploy and iterate on production-grade ML applications.