krishnap25

casimir

Smoothing and acceleration for max-margin structured prediction

FL_partial_personalization

Code for the ICML '22 paper "Federated Learning with Partial Model Personalization"

FusionRP

Code for FusionRP: parameter fitting and plotting

geom_median

Fast and differentiable geometric median, a multivariate median analogue. Install with `pip install geom-median`

mauve

Package to compute Mauve, a similarity score between neural text and human text. Install with `pip install mauve-text`.

mauve-experiments

RFA

Robust aggregation for federated learning with the RFA algorithm.

simplicial-fl

Simplicial-FL to manage client device heterogeneity in Federated Learning

sqwash

Distributionally Robust Learning in PyTorch. Install with `pip install sqwash`.

tRFA

krishnap25/mauve

Package to compute Mauve, a similarity score between neural text and human text. Install with `pip install mauve-text`.

krishnap25/RFA

Robust aggregation for federated learning with the RFA algorithm.

krishnap25/geom_median

Fast and differentiable geometric median, a multivariate median analogue. Install with `pip install geom-median`

krishnap25/mauve-experiments

krishnap25/simplicial-fl

Simplicial-FL to manage client device heterogeneity in Federated Learning

krishnap25/sqwash

Distributionally Robust Learning in PyTorch. Install with `pip install sqwash`.

krishnap25/tRFA

krishnap25/casimir

Smoothing and acceleration for max-margin structured prediction

krishnap25/FusionRP

Code for FusionRP: parameter fitting and plotting

krishnap25/FL_partial_personalization

Code for the ICML '22 paper "Federated Learning with Partial Model Personalization"

krishnap25/adsi_local_repo.github.io

krishnap25/dddml

C++ infrastructure for Clustering and Dispatching ; Data Driven Resource Allocation for Machine Learning

krishnap25/demo_streamlit

Streamlit intro

krishnap25/dmlc-core

A common code-base for Distributed Machine Learning in C++

krishnap25/evaluate

🤗 Evaluate: A library for easily evaluating machine learning models and datasets.

krishnap25/federated

A framework for implementing federated learning

krishnap25/julia-local-global

krishnap25/julia-sgd

Stochastic Gradient Descent Implementation in Julia

krishnap25/krishnap25.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

krishnap25/lightning

Large-scale linear classification, regression and ranking in Python

krishnap25/LM-LSTM-CRF

Empower Sequence Labeling with Task-Aware Language Model

krishnap25/mauve-overview

An overview of the mauve project [JMLR 2023, NeurIPS 2021a, b; Outstanding Paper Award]

krishnap25/PyTorch_YOLOv3

Minimal PyTorch implementation of YOLOv3

krishnap25/robust-phase-retrieval

krishnap25/simplicial-fl-overview

Project overview

krishnap25/tff_quantile