saisumanv

Large-Language-Models

Large language Models (LLM)

adversarial-detection

Code and experiments for the adversarial detection paper

graphrag

A modular graph-based Retrieval-Augmented Generation (RAG) system

ET-BERT

The repository of ET-BERT, a network traffic classification model on encrypted traffic. The work has been accepted as The Web Conference (WWW) 2022 accepted paper.

ID2T

Official ID2T repository. ID2T creates labeled IT network datasets that contain user defined synthetic attacks.

class-conditional-conformal

KAN-Continual_Learning_tests

Collection of tests performed during the study of the new Kolmogorov-Arnold Neural Networks (KAN)

textgrad

TextGrad: Automatic ''Differentiation'' via Text -- using large language models to backpropagate textual gradients.

GML2023

Graph Machine Learning course, Xavier Bresson, 2023

adversarial-attacks-pytorch

PyTorch implementation of adversarial attacks [torchattacks]

MAPIE

A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.

MathBlackBox

LightGBM

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

KAN-Tutorial

Understanding Kolmogorov-Arnold Networks: A Tutorial Series on KAN using Toy Examples

pde-surrogate

Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data

tods

TODS: An Automated Time-series Outlier Detection System

fast-kan

FastKAN: Very Fast Implementation of Kolmogorov-Arnold Networks (KAN)

ICS-TestBed-Framework

ICS TestBed Framework

awesome-kan

A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold Network field.

Deep-KAN

This repository contains a better implementation of Kolmogorov-Arnold networks

Topo_LP_GNN

ThreeDRNAseq

A pipeline for differential expression and differential alternative splicing analysis

tinygrad

You like pytorch? You like micrograd? You love tinygrad! ❤️

micrograd

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

BlueCast

A lightweight and fast auto-ml library

Transformers_And_LLM_Are_What_You_Dont_Need

The best repository showing why transformers might not be the answer for time series forecasting and showcasing the best SOTA non transformer models.

TorchCP

A Python toolbox for conformal prediction research on deep learning models, using PyTorch.

Awesome-Federated-Machine-Learning

Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond

SuPerFed

(SIGKDD 2022) Connected Low-Loss Subspace Learning for a Personalization in Federated Learning (https://arxiv.org/abs/2109.07628)

FEDL

FEDL-Federated Learning algorithm using TensorFlow (Transaction on Networking 2021)