Mark Neumann's Projects
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Adaptive Computation Time algorithm in Tensorflow
A natural language processing toolkit using state-of-the-art deep learning models.
ATen: A TENsor library for C++11
LSTM and QRNN Language Model Toolkit for PyTorch
TensorFlow code and pre-trained models for BERT
Assessing syntactic abilities of BERT
Tensorflow implementation of contextualized word representations from bi-directional language models
:black_circle: A spaCy pipeline and model for NLP on unstructured legal text.
Efficient GPU kernels for block-sparse matrix multiplication and convolution
Notes on stuff I find/found interesting
d3v4 implementation of bubble charts.
An SE(3)-invariant autoencoder for generating the periodic structure of materials [ICLR 2022]
Containers for machine learning
Dependency Parsing with Partial GFL Annotations
An open source multi-tool for exploring and publishing data
Using deep learning to answer Aristo's science questions
config files, misc useful setup stuff.
Language, engine, and tooling for expressing, testing, and evaluating composable language rules on input strings.
Enso: An Open Source Library for Benchmarking Embeddings + Transfer Learning Methods
An Interactive Tool for Scalable and Reproducible Error Analysis.
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Code and model for the paper "Improving Language Understanding by Generative Pre-Training"