A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch

Awesome resources on normalizing flows.

A generative world for general-purpose robotics & embodied AI learning.

Self-explanatory tutorials for different model-agnostic and model-specific XAI methods

SBI Workshop jointly by Helmholtz AI + ML ⇌ Science Colaboratory

Publication-ready NN-architecture schematics.

Tutorial on Simulation Based Inference

Notebook to go along with a lecture for the MIT course 8.16: Data Science in Physics on neural simulation-based inference.

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

Animation engine for explanatory math videos

pix2tex: Using a ViT to convert images of equations into LaTeX code.

Source for book "Feature Engineering A-Z"

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 ;)

Machine learning glossary

A flow-based generative ML model for calorimeter showers in particle detectors

Rapidly build AI apps in Python

Notebooks and materials for ACNS AI Tutorial

21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

State-of-the-Art Text Embeddings

llama3 implementation one matrix multiplication at a time

🔮 ChatGPT Desktop Application (Mac, Windows and Linux)

3d plotting for Python in the Jupyter notebook based on IPython widgets using WebGL

Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)

PyTorch implementations of Generative Adversarial Networks.

Exp2SimGAN is an machine learning model to translate between experimental- and simulated data in Materials Chemistry.

Image-to-Image Translation in PyTorch

A library to generate LaTeX expression from Python code.

Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch