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my_codes-misc

Some of my codes.

neural-tangents

Fast and Easy Infinite Neural Networks in Python

neuraloptimaltransport

PyTorch implementation of "Neural Optimal Transport" (ICLR 2023)

nlp_projects

A collection of projects built using PyTorch & NLTK implementing Deep Learning Models for NLP-related tasks

ntk-mmd

Neural Tangent Kernel MMD

ntk_probing_public

old-codes

ot-seq2seq-pytorch

an unofficial PyTorch implementation of ICLR 2019 paper IMPROVING SEQUENCE-TO-SEQUENCE LEARNING VIA OPTIMAL TRANSPORT

otalign

Repository of ACL2023 paper: Unbalanced Optimal Transport for Unbalanced Word Alignment

otf

Optimal Transport of Classifiers to Fairness (NeurIPS 2022).

otk

A Pytorch implementation of the optimal transport kernel embedding

otkge

ott

piyushi-0

plot

[ICLR2023] PLOT: Prompt Learning with Optimal Transport for Vision-Language Models

pot

POT : Python Optimal Transport

private-data-generation

A toolbox for differentially private data generation

projectionontosimplex

Simplex projection (numpy, pytorch), from Duchi et al., "Efficient Projections onto the l1-Ball for Learning in High Dimensions", ICML 2008

pytorch-mixture-of-experts

using deepspeed to build a distributed mixture of experts model

random-moe-as-dropout

[ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal, Shiwei Liu, Zhangyang Wang

regularization-pruning

[ICLR'21] Neural Pruning via Growing Regularization (PyTorch)

rethinking-minimax-fairness

reweight-imbalance-classification-with-ot

riemannian-metric-learning-ot

salad

Optimal Transport Aggregation for Visual Place Recognition

scaling_laws_for_routing

scot

CVPR 2020, Semantic Correspondence as an Optimal Transport Problem, Pytorch Implementation.

sea-nn

Code for our AISTATS '22 paper: Improving Attribution Methods by Learning Submodular Functions.

skills-publish-packages

My clone repository

smooth-ot

Python implementation of smooth optimal transport.