mmarius

nnia-tutorial

Repository for my tutorial group which is part of the lecture Neural Networks: Implementation and Application

academic-kickstart

Easily create a beautiful website using Academic and Hugo

cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

pre-training

Pre-Training Buys Better Robustness and Uncertainty

TF-NNLM-TK

A toolkit for neural language modeling using Tensorflow including basic models like RNNs and LSTMs as well as more advanced models.

bilm-tf

Tensorflow implementation of contextualized word representations from bi-directional language models

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

ERNIE

Source code and dataset for ACL 2019 paper "ERNIE: Enhanced Language Representation with Informative Entities"

glomo

Unsupervised Learning of Transferable Relational Graphs

ImageNet-Adversarial-Training

Feature Denoising for Improving Adversarial Robustness

kglm-model

Code for KGLM paper

LAMA

LAnguage Model Analysis

poincare-embeddings

PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"

python-is-cool

Cool Python features for machine learning that I used to be too afraid to use

SGC

official implementation for the paper "Simplifying Graph Convolutional Networks"

structural-probes

Codebase for testing whether hidden states of neural networks encode discrete structures.

transformer-xl