Stars
A modular RL library to fine-tune language models to human preferences
The WeightWatcher tool for predicting the accuracy of Deep Neural Networks
Code for reproducing our paper: LMSOC: An Approach for Socially Sensitive Pretraining
State-of-the-Art Embeddings, Retrieval, and Reranking
Jupyter Notebook corresponding to 'Going with the Flow: An Introduction to Normalizing Flows'
Factor graphs and loopy belief propagation implemented in Python
Riemannian Adaptive Optimization Methods with pytorch optim
TILES: an algorithm for community discovery in dynamic social networks
A toy Python implementation of the Hidden Markov Model.
R package for processing, organizing, and visualizing reference records downloaded from the Web of Science.
Script to plot 1D data in 2D using the Hilbert Curve. Honestly a pretty terrible visualization technique for conveying information, but it looks cool.
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
Natural Language Processing Tutorial for Deep Learning Researchers
Implementation of word2vec in PyTorch
A beautiful, simple, clean, and responsive Jekyll theme for academics
Implementation of the Leiden algorithm for various quality functions to be used with igraph in Python.
Implementation of the Louvain algorithm for community detection with various methods for use with igraph in python.
a fun little tool to generate random metaphors from a list of nouns and verbs.
Latex code for making neural networks diagrams
A Benchmark of Text Classification in PyTorch
A flexible version of CorEx developed for bio-data challenges that handles missing data, continuous/discrete variables, multi-CPU, overlapping structure, and includes visualizations
The Attract-Repel algorithm presented in (Mrkšić et al., TACL 2017), with accompanying resources.
Python copulas library for dependency modeling