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A technical report on convolution arithmetic in the context of deep learning

TeX 14,197 2,294 Updated Jun 8, 2023

Statistical Rethinking: A Bayesian Course Using Python and NumPyro

Jupyter Notebook 90 18 Updated Apr 17, 2021

Statistical Rethinking (2nd ed.) with NumPyro

Jupyter Notebook 450 75 Updated Feb 16, 2024

Oryx is a library for probabilistic programming and deep learning built on top of Jax.

Python 245 10 Updated Feb 13, 2025

Library for reading and processing ML training data.

Python 383 28 Updated Feb 12, 2025

Paper Lists for Graph Neural Networks

2,236 384 Updated Dec 29, 2023

Flax is a neural network library for JAX that is designed for flexibility.

Jupyter Notebook 6,326 662 Updated Feb 13, 2025

Understanding Deep Learning - Simon J.D. Prince

Jupyter Notebook 7,000 1,471 Updated Feb 11, 2025

My solutions to DLFC - Deep Learning: Foundations and Concepts

63 11 Updated Nov 19, 2024

Notebooks about Bayesian methods for machine learning

Jupyter Notebook 1,846 466 Updated Mar 6, 2024

Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of deep learning that aims to quantify the noise and uncertain…

Jupyter Notebook 63 34 Updated Nov 27, 2024

Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.

Python 232 28 Updated Dec 22, 2023

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…

Python 7,268 943 Updated Feb 13, 2025

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

Jupyter Notebook 2,843 504 Updated Dec 9, 2024

A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).

803 52 Updated Jul 10, 2024

PyTorch implementation of normalizing flow models

Python 785 116 Updated Aug 25, 2024

Implementation of papers in 100 lines of code.

Python 1,429 152 Updated Dec 2, 2024

MADE (Masked Autoencoder Density Estimation) implementation in PyTorch

Python 546 85 Updated Dec 8, 2018

Probabilistic reasoning and statistical analysis in TensorFlow

Jupyter Notebook 4,293 1,111 Updated Jan 29, 2025

Gaussian processes in JAX.

Python 477 55 Updated Feb 4, 2025

A Python implementation of global optimization with gaussian processes.

Python 8,068 1,557 Updated Jan 2, 2025

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Python 139,218 27,917 Updated Feb 13, 2025

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023

Jupyter Notebook 2,708 611 Updated Oct 27, 2024

Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows

Python 611 103 Updated Jul 12, 2021

All the handwritten notes 📝 and source code files 🖥️ used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.com/channel/UCh0P7KwJhuQ4vrzc3IRuw4Q)

Jupyter Notebook 939 192 Updated Jan 6, 2025

STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)

Jupyter Notebook 565 162 Updated May 1, 2020

Paper re-implementations from the course METU CENG796 Deep Generative Models.

Jupyter Notebook 49 5 Updated Jun 23, 2024

😎 Awesome lists about all kinds of interesting topics

346,804 28,499 Updated Feb 5, 2025

JAX - A curated list of resources https://github.com/google/jax

1,689 135 Updated Jul 10, 2024
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