ksivaman,Kirthi Shankar Sivamani,github

accelerate

🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision

adversarial-autoencoders

Sklearn compatible estimators for securing deep learning models from malicious attacks.

adversarial-robustness-toolbox

Python library for adversarial attacks and defenses for neural networks, logistic regression, decision trees, SVM, gradient boosted trees, and more with multiple framework support

apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

colossalai

Making large AI models cheaper, faster and more accessible

domain-align

Original Source code for our paper: Unsupervised Domain Alignment to Mitigate low-level Dataset Biases

efficientcamscan

An implementation: https://nomis80.org/ctmf.pdf in C (pthreads have been used instead of SMID instructions).

fast_adversarial

Code for the CVPR 2019 article "Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses"

flash-attention

Fast and memory-efficient exact attention

hierarchical-clustering

A method to classify n dimensional data using hierarchical clustering

k-means-clustering

A method of clustering high dimension data using k-means clustering

megatron-lm

Ongoing research training transformer models at scale

minicamscan

An algorithms that performs input image denoising using mean kernel filtering and adaptive thresholding.

observer-networks

Non-Intrusive Detection of Adversarial Deep Learning Attacks via Observer Networks

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

scikit-learn

scikit-learn: machine learning in Python

smartcityapp

Smart City App for the Smart City Project in Purdue University

super-res

An extension of perpetual losses for image-inpainting. (https://arxiv.org/pdf/1603.08155.pdf)

thermocouple-data-analysis

Analysis of 5 types of thermocouple designs for First Order Systems Inc.

transfer-image-styling

This project uses the VGG-19 network to transfer the style/texture of an image onto the content of another image. Implementation of Neural style transfer.

A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper GPUs, to provide better performance with lower memory utilization in both training and inference.

transformerengine-1

A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper GPUs, to provide better performance with lower memory utilization in both training and inference.

you-only-look-once

A PyTorch Object detector inspired by the YOLO algorithm

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