yandex-research Goto Github PK

adaptive-diffusion

[CVPR2024] Adaptive Teacher-Student Collaboration for Text-Conditional Diffusion Models

btard

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

classification-measures

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

crosslingual_winograd

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

ddpm-segmentation

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

dedloc

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

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

distill-nf

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

dnar

The implementation of "Discrete Neural Algorithmic Reasoning"

dvar

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

gan-transfer

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

gbdt-uncertainty

graph-glove

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

heterophilous-graphs

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

learnable-init

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

mind-your-format

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

moshpit-sgd

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

msr

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

navigan

Navigating the GAN Parameter Space for Semantic Image Editing

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)

rtdl

Research on Tabular Deep Learning: Papers & Packages

rtdl-num-embeddings

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

rtdl-revisiting-models

(NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data

ruleanalbert

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

sparqling-queries

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

structural-graph-shifts

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

swarm

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

tab-ddpm

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

tabular-dl-tabr

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

text-to-img-hypernymy

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