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advertorch

A Toolbox for Adversarial Robustness Research

autocast-plus-plus

[ICLR'24] AutoCast++: Enhancing World Event Prediction with Zero-shot Ranking-based Context Retrieval

bmi

Better Long-Range Dependency By Bootstrapping A Mutual Information Regularizer https://arxiv.org/abs/1905.11978

bre-gan

Code for ICLR2018 paper: Improving GAN Training via Binarized Representation Entropy (BRE) Regularization - Y. Cao · W Ding · Y.C. Lui · R. Huang

code-gen-tae

Code generation from natural language with less prior and more monolingual data

conr

Contrastive Regularizer

constant-memory-anp

continuous-latent-process-flows

Code, data, and pre-trained models for the paper "Continuous Latent Process Flows" (NeurIPS 2021)

continuous-time-flow-process

PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)

cp-vae

On Variational Learning of Controllable Representations for Text without Supervision https://arxiv.org/abs/1905.11975

cross_domain_coherence

A Cross-Domain Transferable Neural Coherence Model https://arxiv.org/abs/1905.11912

dcf

de-simple

Diachronic Embedding for Temporal Knowledge Graph Completion

dt-fixup

Optimizing Deeper Transformers on Small Datasets https://arxiv.org/abs/2012.15355

dynashare-mtl

PyTorch Implementation of DynaShare: Task and Instance Conditioned Parameter Sharing for Multi-Task Learning

efficient-vit-training

PyTorch code of "Training a Vision Transformer from scratch in less than 24 hours with 1 GPU" (HiTY workshop at Neurips 2022)

eval_dr_by_wsd

Evaluating quality of dimensionality reduction map with Wasserstein distances

flora-opt

This is the official repository for the paper "Flora: Low-Rank Adapters Are Secretly Gradient Compressors" in ICML 2024.

group-feature-importance

Group feature importance

imle

Code for differentially private Implicit Maximum Likelihood Estimation model

keyphrase-generation

PyTorch code of “Diverse Keyphrase Generation with Neural Unlikelihood Training” (COLING 2020)

latent-bottlenecked-anp

lite_tracer

a light weight experiment reproducibility toolset

meta-tpp

PyTorch-Lightning implementation of Meta Temporal Point Processes

mma_training

Code for the paper "MMA Training: Direct Input Space Margin Maximization through Adversarial Training"

mmoeex-mtl

PyTorch Implementation of the Multi-gate Mixture-of-Experts with Exclusivity (MMoEEx)

monotonicity-mixup

Code of "Not Too Close and Not Too Far: Enforcing Monotonicity Requires Penalizing The Right Points"

mtmfrl

Multi Type Mean Field Reinforcement Learning

nflow-cdf-approximations

Official implementation of "Efficient CDF Approximations for Normalizing Flows"

noise_flow

Noise Flow: Noise Modeling with Conditional Normalizing Flows