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axonn

A parallel framework for training deep neural networks

cmsc764-umd

Advanced numerical optimization course assignments

deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

deepspeedexamples

Example models using DeepSpeed

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fast_adversarial

[ICLR 2020] A repository for extremely fast adversarial training using FGSM

fastrfs

Fast Robinson Foulds Supertrees

hatchet

Graph-indexed Pandas DataFrames for analyzing hierarchical performance data

hipblas

ROCm BLAS marshalling library

join-order-benchmark

Join Order Benchmark (JOB)

masters-project-thesis

Title of thesis - PySchedCL: A Framework for Automatically Exploiting Concurrency in Heterogeneous Data-Parallel Applications

megatron-lm

Ongoing research training transformer language models at scale, including: BERT & GPT-2

modnn

Implementation of algorithms for memory optimized deep neural network training

nccl4py

Python Extensions for Nvidia's Collective Communication Library (NCCL)

phylokit

C++ library for high performance phylogenetics

phylonaut

Dynamic programming for phylogenetics applications

pipedream

siddharth9820.github.io

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

stylegan-xl

[SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets

torch_sputnik

PyTorch interface for Sputnik, A Library for Sparse Matrix Multiplication on GPUs

vision

Datasets, Transforms and Models specific to Computer Vision

wait-free-backprop

Course Project of CMSC818X : Introduction to Parallel Computing at University of Maryland, College Park