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a-pytorch-tutorial-to-image-captioning

Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning

a-pytorch-tutorial-to-object-detection

SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection

a-pytorch-tutorial-to-sequence-labeling

Empower Sequence Labeling with Task-Aware Neural Language Model | a PyTorch Tutorial to Sequence Labeling

a-pytorch-tutorial-to-super-resolution

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution

a-pytorch-tutorial-to-transformers

Attention Is All You Need | a PyTorch Tutorial to Transformers

anl-22-summer-workshop

cerebras_reference_implementations

cpp_testcodes

A collection of cpp test codes

cppbestpractices

Collaborative Collection of C++ Best Practices. This online resource is part of Jason Turner's collection of C++ Best Practices resources. See README.md for more information.

cppcoreguidelines

The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++

cse847-homework4

Code Repo for MATLAB codes used in Homework 4

cse847-homework5

Code Repo for MATLAB codes used in Homework 5

cse847-project-rhosvd

MSU CSE847 Machine Learning Term Project - Randomized HOSVD

cuda-training-series

Training materials associated with NVIDIA's CUDA Training Series (www.olcf.ornl.gov/cuda-training-series/)

deephyper

DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks

fnc-extras

Extra materials for *Fundamentals of Numerical Computation* by Driscoll and Braun.

ginkgo

Numerical linear algebra software package

gui_starter_template

A template CMake project to get you started with C++ and tooling

hls4ml-tutorial

Tutorial notebooks for hls4ml

lbcnn.torch

Torch implementation of CVPR'17 - Local Binary Convolutional Neural Networks http://xujuefei.com/lbcnn.html

mdobook_resources

Supplementary resources for the textbook Engineering Design Optimization by Joaquim R. R. A. Martins and Andrew Ning

mit-deep-learning-book-pdf

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

pytorchnet

Generalized Framework for PyTorch

qpoases

Open-source C++ implementation of the recently proposed online active set strategy

sbnet

Sparse Blocks Networks

simtoolbox

A toolbox for object-tracking simulation

slep

Sparse Learning via Efficient Projection (mirror copy of latest version in http://www.yelab.net/software/SLEP/)

tucker-tensorsketch

Matlab function for low-rank Tucker decomposition of tensors using TensorSketch

vitis-ai-tutorials