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🦜🔗 Build context-aware reasoning applications
Python Data Science Handbook: full text in Jupyter Notebooks
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Instruct-tune LLaMA on consumer hardware
《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
Your new Mentor for Data Science E-Learning.
Companion webpage to the book "Mathematics For Machine Learning"
The "Python Machine Learning (1st edition)" book code repository and info resource
PRML algorithms implemented in Python
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
A series of large language models trained from scratch by developers @01-ai
this repository accompanies the book "Grokking Deep Learning"
An annotated implementation of the Transformer paper.
Jupyter Notebooks to help you get hands-on with Pinecone vector databases
⭐️ NLP Algorithms with transformers lib. Supporting Text-Classification, Text-Generation, Information-Extraction, Text-Matching, RLHF, SFT etc.
a tensorflow implementation of WGAN
Data Quality assessment with one line of code
Examples of using deep learning in Bioinformatics
WTFAcademy / WTF-Langchain
Forked from sugarforever/wtf-langchain“Dive Into OCR” is a textbook developed by the PaddleOCR community that integrates OCR theory and practice.
MLSS 2018 Madrid lecture materials on Generative Adversarial Networks (GANs)
Solutions to Wasserman's 'All of Statistics'.
Collection of tools for bootstrapping Apache Ambari & deploying clusters