-
Jagiellonian University
- Krakow
- https://mateusz-pyla.u.matinf.uj.edu.pl/
Highlights
- Pro
Stars
A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
Code for "Approaching Deep Learning through the Spectral Dynamics of Weights"
A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...
PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.
A toolkit for visualizations in materials informatics.
🏆 A ranked list of awesome atomistic machine learning projects ⚛️🧬💎.
PhyCV: The First Physics-inspired Computer Vision Library
Learn fast, scalable, and calibrated measures of uncertainty using neural networks!
A simple tool for visually comparing two PDF files
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
This is the official code release for Bayesian Flow Networks.
gmum / CASSLE
Forked from hankook/AugSelfOfficial implementation of "Augmentation-aware Self-supervised Learning with Conditioned Projector"
Code for "Can We Characterize Tasks Without Labels or Features?" (CVPR 2021)
Minimal Mistakes GitHub Pages site starter.
hydecorp / hydejack
Forked from poole/hydeA boutique Jekyll theme for hackers, nerds, and academics
This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.
Pytorch implementation of convolutional neural network visualization techniques
Backend master class: build a simple bank service in Go
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 ;)
Hello world using all 23 kinds of GoF design patterns.
Different Generative Adversarial Networks
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages