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A latent text-to-image diffusion model
Free Data Engineering course!
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Natural Language Processing Tutorial for Deep Learning Researchers
Free MLOps course from DataTalks.Club
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.
Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative ski…
Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
EPFL Machine Learning Course, Fall 2023
EPFL Course - Optimization for Machine Learning - CS-439
A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book
Practical assignments of the Deep|Bayes summer school 2019
A curated list of practical business machine learning (BML) and business data science (BDS) applications for Accounting, Customer, Employee, Legal, Management and Operations (by @firmai)
My solutions to Kevin Murphy Machine Learning Book
dair-ai / pytorch_notebooks
Forked from omarsar/pytorch_notebooks🔥 A collection of PyTorch notebooks for learning and practicing deep learning
Learn how to use PyTorch to solve some common NLP problems with deep learning.
My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman
My notes / works on deep learning from Coursera
JupyterLite demo deployed to GitHub Pages 🚀
🍧 DataCamp data-science and machine learning courses
Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Friedman
Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
Enterprise Scale NLP with Hugging Face & SageMaker Workshop series