yandex-research/GBDT-uncertainty

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yandex-research/GBDT-uncertainty

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rtdl

Research on Tabular Deep Learning: Papers & Packages

ddpm-segmentation

Label-Efficient Semantic Segmentation with Diffusion Models (ICLR'2022)

tab-ddpm

[ICML 2023] The official implementation of the paper "TabDDPM: Modelling Tabular Data with Diffusion Models"

rtdl-num-embeddings

(NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning

navigan

Navigating the GAN Parameter Space for Semantic Image Editing

Jupyter Notebook

tabular-dl-tabr

The implementation of "TabR: Unlocking the Power of Retrieval-Augmented Tabular Deep Learning"

rtdl-revisiting-models

(NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data

swarm

Official code for "SWARM Parallelism: Training Large Models Can Be Surprisingly Communication-Efficient"

DeDLOC

Official code for "Distributed Deep Learning in Open Collaborations" (NeurIPS 2021)

Jupyter Notebook

RuLeanALBERT

RuLeanALBERT is a pretrained masked language model for the Russian language that uses a memory-efficient architecture.

heterophilous-graphs

A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?

invertible-cd

[NeurIPS'2024] Invertible Consistency Distillation for Text-Guided Image Editing in Around 7 Steps

graph-glove

PyTorch code for the EMNLP 2020 paper "Embedding Words in Non-Vector Space with Unsupervised Graph Learning"

specexec

tabred

A Benchmark of Tabular Machine Learning in-the-Wild with real-world industry-grade tabular datasets

DVAR

Official implementation of "Is This Loss Informative? Faster Text-to-Image Customization by Tracking Objective Dynamics" (NeurIPS 2023)

sparqling-queries

This repo in the implementation of EMNLP'21 paper "SPARQLing Database Queries from Intermediate Question Decompositions" by Irina Saparina, Anton Osokin

moshpit-sgd

"Moshpit SGD: Communication-Efficient Decentralized Training on Heterogeneous Unreliable Devices", official implementation

Jupyter Notebook

adaptive-diffusion

[CVPR'2024] Adaptive Teacher-Student Collaboration for Text-Conditional Diffusion Models

gan-transfer

Supplementary code for "When, Why, and Which Pretrained GANs Are Useful?" (ICLR'22)

Jupyter Notebook

vqdm

Official repository for VQDM:Accurate Compression of Text-to-Image Diffusion Models via Vector Quantization paper

btard

Code for the paper "Secure Distributed Training at Scale" (ICML 2022)

structural-graph-shifts

Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts (NeurIPS'23)

crosslingual_winograd

"It's All in the Heads" (Findings of ACL 2021), official implementation and data

gan_vs_diff_sr

Does Diffusion Beat GAN in Image Super Resolution?

distill-nf

Code for the paper: Distilling the Knowledge from Conditional Normalizing Flows

Jupyter Notebook

classification-measures

Official implementation and data for 'Good Classification Measures and How to Find Them' (NeurIPS 2021)

text-to-img-hypernymy

Official code for "Hypernymy Understanding Evaluation of Text-to-Image Models via WordNet Hierarchy"

Jupyter Notebook

tabm

TabM: Advancing Tabular Deep Learning With Parameter-Efficient Ensembling

dnar

The implementation of "Discrete Neural Algorithmic Reasoning"

learnable-init

Code for the paper: Discovering Weight Initializers with Meta-Learning

Jupyter Notebook

mind-your-format

Mind Your Format: Towards Consistent Evaluation of In-Context Learning Improvements

Jupyter Notebook

proxy-dirichlet-distillation

Implementation of "Scaling Ensemble Distribution Distillation to Many Classes with Proxy Targets" (NeurIPS 2021) and "Uncertainty Estimation in Autoregressive Structured Prediction" (ICLR 2021)

tabgraphs

A new benchmark of meaningful tabular datasets with known graph structure

msr

An official repository of "Multi-Sentence Resampling: A Simple Approach to Alleviate Dataset Length Bias and Beam-Search Degradation"