Trending
See what the GitHub community is most excited about this month.
-
cuDF - GPU DataFrame Library
-
Efficient GPU kernels for block-sparse matrix multiplication and convolution
-
GPU Accelerated t-SNE for CUDA with Python bindings
-
cuGraph
-
CURRENNNT codes and scripts
-
High-Performance Graph Primitives on GPUs
-
Code and data for paper "Deep Painterly Harmonization": https://arxiv.org/abs/1804.03189
-
Fast parallel CTC.
-
Squeeze-and-Excitation Networks
-
Fully Convolutional Instance-aware Semantic Segmentation
-
MatConvNet: CNNs for MATLAB
-
GPU database engine
-
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
-
Introduction to Parallel Programming class code
-
Automatically exported from code.google.com/p/cuda-convnet2
-
CUB is a flexible library of cooperative threadblock primitives and other utilities for CUDA kernel programming.
-
Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches
-
Reference implementation of real-time autoregressive wavenet inference
-
A GPU implementation of Convolutional Neural Nets in C++
-
Fast, gpu-based CSV parser
-
Precise RoI Pooling with coordinate gradient support, proposed in the paper "Acquisition of Localization Confidence for Accurate Object Detection" (https://arxiv.org/abs/1807.11590).
-
A personal depthwise convolution layer implementation on caffe by liuhao.(only GPU)
-
Code release for "Convolutional Two-Stream Network Fusion for Video Action Recognition", CVPR 2016.
-
Pytorch Bindings for warp-ctc
-
PyTorch implementation of Deformable Convolution