403 Open source projects that are alternatives of or similar to Modulated Deform Conv

CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models with a high degree of biological detail.

Torch7 bindings for cuda-convnet2 kernels!

CUDA integration for Python, plus shiny features

点云深度学习框架 | Point cloud Deep learning Framework

Tests and benchmarks for cudnn (and in the future, other nvidia libraries)

GGNN: State of the Art Graph-based GPU Nearest Neighbor Search

Tutorial for using Singularity containers

GPU database engine

N body gravity attraction problem solver

Flattened convolutional neural networks (1D convolution modules for Torch nn)

NVBIO is a library of reusable components designed to accelerate bioinformatics applications using CUDA.

Deformable ConvNets V2 (DCNv2) in PyTorch

@ICCV2017: For exploiting second-order statistics, we propose Matrix Power Normalized Covariance pooling (MPN-COV) ConvNets, different from and outperforming those using global average pooling.

deformable_conv2d layer implemented in pytorch

The source code of ECCV16 'Deep Joint Image Filtering'.

Introduction to Parallel Programming class code

Application of machine learning to the Coinbase (GDAX) orderbook

Julia wrapper for CUDA runtime API

How fast can we brute force a 64-bit comparison?

PyTorch bindinga for Baidu's Warp-CTC

Physically based renderer and simulation engine for real-time applications.

AutoDock for GPUs and other accelerators

Use the Intel D435 real-sensing camera to realize target detection based on the Yolov3 framework under the Opencv DNN framework, and realize the 3D positioning of the Objection according to the depth information. Real-time display of the coordinates in the camera coordinate system.ADD--Using Yolov5 By TensorRT model,AGX-Xavier,RealTime Object Detection

Collection of Docker images for ML/DL and video processing projects

Samples for CUDA Developers which demonstrates features in CUDA Toolkit

A collection of Bash scripts and Dockerfiles to install data science Tool, Lib and application

GPU-Suite

torch data augmentation toolbox (supports affine transform)

CURRENNNT codes and scripts

an implementation of 3D Ken Burns Effect from a Single Image using PyTorch

CUDA Templates for Linear Algebra Subroutines

PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification (ICCV 2019) - Official PyTorch Implementation

HPC solver for nonlinear optimization problems

An GPU/CUDA implementation of the Hungarian algorithm

GPU Accelerated t-SNE for CUDA with Python bindings

Hornet data structure for sparse dynamic graphs and matrices

Efficient reservoir sampling implementation for PyTorch

Superpixel SLIC for GPU (CUDA)

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

Deep Object Co-Segmentation

ICCV2015 Image Super-Resolution Using Deep Convolutional Networks

Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.

Simulating on GPU using Material Point Method and rendering.

Large octree map construction and rendering with CUDA and OpenGL

Tutorial on how to build your own research envirorment for Deep Learning with OpenCV, Python, Tensorfow

caffe implementation of "Arbitrary Style Transfer with Deep Feature Reshuffle"

OptiX Path Tracer

A GPU implementation of smallpt (http://www.kevinbeason.com/smallpt/) with Bounding Volume Hierarchy (BVH) tree.

A high-performance CUDA-based physics simulation sandbox for soft robotics and reinforcement learning.

K-Nearest Neighbor in Pytorch

Kernel Tuning Toolkit

Gradient Boosting powered by GPU(NVIDIA CUDA)

CME 213 Class Material

A CUDA Extension of Neural Network Libraries

Some CUDA design patterns and a bit of template magic for CUDA

An extensible HPC framework for CUDA, OpenCL and native CPU.

A Julia wrapper for the CUDA driver API.

Concurrent CPU-GPU Programming using Task Models