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adversarial-negative-sampling

Code for paper by Bamler & Mandt, "Extreme Classification via Adversarial Softmax Approximation" (ICLR 2020)

am-for-bert

This repository contains the WordNet Language Model Probing (WNLaMPro) dataset introduced in "Rare Words: A Major Problem for Contextualized Embeddings and How to Fix it by Attentive Mimicking".

antm

Aligned Neural Topic Model (ANTM) for Exploring Evolving Topics: a dynamic neural topic model that uses document embeddings (data2vec) to compute clusters of semantically similar documents at different periods, and aligns document clusters to represent topic evolution.

autoinit

AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks

awesome-domain-adaptation

A collection of AWESOME things about domian adaptation

backpacks-flash-attn

The original Backpack Language Model implementation, a fork of FlashAttention

benchmarking-gnns

Repository for benchmarking graph neural networks

bn-vae

cc-sam

This is the implementation of our CVPR'23 paper "Class-Conditional Sharpness-Aware Minimization for Deep Long-Tailed Recognition".

cdm

Consistent Diffusion Models

cikm2020-s3rec

Code for CIKM2020 "S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization"

classifier-balancing

This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 2020

cleora

Cleora AI is a general-purpose model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data.

communities

Library of community detection algorithms and visualization tools

cpp-louvain-fast

Optimized implementation of the Louvain Method

dcc

This repository contains the source code and data for reproducing results of Deep Continuous Clustering paper

dctm

Code for the paper "Stochastic Variational Inference for Dynamic Correlated Topic Models"

dectm

Code for Discovering Topics in Long-tailed Corpora with Causal Intervention (ACL findings2021)

detm

distributed-graph-analytics

Distributed Graph Analytics (DGA) is a compendium of graph analytics written for Bulk-Synchronous-Parallel (BSP) processing frameworks such as Giraph and GraphX. The analytics included are High Betweenness Set Extraction, Weakly Connected Components, Page Rank, Leaf Compression, and Louvain Modularity.

distributedcb

A Parallel and Distributed Content-Based Recommender System

dspn

[NeurIPS 2019] Deep Set Prediction Networks

du-vae

Code for the paper "Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness"

ecrtm

Code for Effective Neural Topic Modeling with Embedding Clustering Regularization (ICML2023)

efficient-vdvae

Official Pytorch and JAX implementation of "Efficient-VDVAE: Less is more"

energy-guided-entropic-ot

Energy-guided Entropic Optimal Transport implementation

equivset

NeurIPS'22 Oral: EquiVSet - Learning Neural Set Functions Under the Optimal Subset Oracle

etm

Topic Modeling in Embedding Spaces

ewp

fista-net

A model-based deep learning network for inverse problem in imaging