danieltlevy Goto Github PK

310

Main course webpage for CPSC 310

arichsim

cosmo_mapping

diffusionsat

equivariant_relational

equivseq2seq

Equivariant Seq2Seq Network

fragdiffusion

code for the paper "DiGress: Discrete Denoising diffusion for graph generation"

hgb

Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.

hne

Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond

matsciml

Open MatSci ML Toolkit is a single framework for prototyping and scaling out deep learning models for materials discovery, built on top of OpenCatalyst, PyTorch Lightning, and the Deep Graph Library.

nervenet

permutation-equivariant-seq2seq

Humans understand novel sentences by composing meanings and roles of core language components. In contrast, neural network models for natural language modeling fail when such compositional generalization is required. The main contribution of this paper is to hypothesize that language compositionality is a form of group-equivariance. Based on this hypothesis, we propose a set of tools for constructing equivariant sequence-to-sequence models. Throughout a variety of experiments on the SCAN tasks, we analyze the behavior of existing models under the lens of equivariance, and demonstrate that our equivariant architecture is able to achieve the type compositional generalization required in human language understanding.

ppo-pytorch

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

sealscent

thesisphys449