andrei-pokrovsky

adityaatluri.github.io

https://adityaatluri.github.io

atomicAddBench

Benchmarking project for atomicAdd in cuda.

blocksparse

Efficient GPU kernels for block-sparse matrix multiplication and convolution

CUDA-NUMA-extension

CUPTI-Examples

DeepBench

Benchmarking Deep Learning operations on different hardware

demo-cuda-pybind11

How to use CUDA with Python numpy

extension-cpp

C++ extensions in PyTorch

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

flownet2-pytorch

Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

GatechResearchF17

jitify

A single-header C++ library for simplifying the use of CUDA Runtime Compilation (NVRTC).

mmap_benchmark

benmark for different mmap prefault/prefetch methods

monodepth

Unsupervised single image depth prediction with CNNs

MutexShootout

A benchmark to measure lock overhead and compare mutex performance under varying levels of contention.

NNPACK

Acceleration package for neural networks on multi-core CPUs

p100_exp

pcl

Point Cloud Library (PCL)

pyinn

CuPy fused PyTorch neural networks ops

pytorch-custom-cuda-tutorial

Tutorial for building a custom CUDA function for Pytorch

pytorch-mobilenet

PyTorch MobileNet Implementation of "MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications"

pytorch2caffe

Convert PyTorch model to Caffemodel

pytorch_knn_cuda

K-Nearest Neighbor in Pytorch

quda

QUDA is a library for performing calculations in lattice QCD on GPUs.

scipy-2017-codegen-tutorial

SymPy code generation tutorial at SciPy 2017

TF-deformable-conv

Implementation of deformable convolution as an operation in tensorflow

TF_Deformable_Net

Deformable convolutional net on Tensorflow

UnFlow

UnFlow: Unsupervised Learning of Optical Flow with a Bidirectional Census Loss

warp-ctc

Fast parallel CTC.

yolo_cpp

C++ed version of Yolo