japolak

DLSC-2023

ETH Zürich Deep Learning in Scientific Computing Master's course 2023

eth-dl-cheat-sheet

Cheat sheet for the "Deep Learning" course at ETH Zürich

OpenMLOps

interpret

Fit interpretable models. Explain blackbox machine learning.

Neural-Process-Family

Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.

vib

Theory and PyTorch implementation of Deep Variational Information Bottleneck

uncertainty-deep-learning

compound-density-networks

Implementation of: Kristiadi, Agustinus, and Asja Fischer. "Predictive Uncertainty Quantification with Compound Density Networks." (2019).

VIBNet

Compressing Neural Networks using the Variational Information Bottleneck

uncertainty-baselines

High-quality implementations of standard and SOTA methods on a variety of tasks.

google-research

Google Research

nonlinear-IB-PyTorch

Pytorch Implementation of the Nonlinear Information Bottleneck

information_bottleneck_pytorch

Project for the Large Scale Optimization course at Skoltech

PytorchBottleneck

Information Bottleneck in DNN with PyTorch

ikaros

Ikaros is a free financial library built in pure python that can be used to get information for single stocks, generate signals and build prortfolios

colab-ssh

Connect to Google Colab using SSH

Bayesian-Neural-Networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

bayesian-deep-learning-demystified

In which I try to demystify the fundamental concepts behind Bayesian deep learning.

entity-embedding-rossmann

DL_Topics

List of DL topics and resources essential for cracking interviews

PGPortfolio

PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).

industry-machine-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

Cookbook

The Data Engineering Cookbook

mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"