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- @jnirsch
- in/jeff-nirschl-56700918
- https://www.researchgate.net/profile/Jeffrey-Nirschl
- https://profiles.stanford.edu/jeffrey-nirschl
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written in Jupyter Notebook
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A latent text-to-image diffusion model
Python Data Science Handbook: full text in Jupyter Notebooks
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Google Research
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 ;)
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
This repository contains implementations and illustrative code to accompany DeepMind publications
PRML algorithms implemented in Python
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Public facing notes page
Learn ML engineering for free in 4 months!
Visualizations for machine learning datasets
Python code for "Probabilistic Machine learning" book by Kevin Murphy
Simple tutorials using Google's TensorFlow Framework
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
Notebooks for learning deep learning
From the basics to slightly more interesting applications of Tensorflow
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
Easily compute clip embeddings and build a clip retrieval system with them
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…
ARCHIVED: Contains historical course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL
Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way