Accompanying code for "Boosted Prompt Ensembles for Large Language Models"

A PyTorch library for two-sample tests

Mastering Ethereum, by Andreas M. Antonopoulos, Gavin Wood

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

Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"

Python REMote Interface library. Platform independent. In about 100 Kbytes, perfect for your diet.

Matrix exponential in cuda for pytorch and tensorflow

Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.

A curated list of network embedding techniques.

g2p: English Grapheme To Phoneme Conversion

Fast and lightweight header-only C++ library (with Python bindings) for approximate nearest neighbor search