415 Open source projects that are alternatives of or similar to 3d Ken Burns

an implementation of Video Frame Interpolation via Adaptive Separable Convolution using PyTorch

an implementation of softmax splatting for differentiable forward warping using PyTorch

Library for faster pinned CPU <-> GPU transfer in Pytorch

Spatial Attentive Single-Image Deraining with a High Quality Real Rain Dataset (CVPR'19)

Official source code for our paper "AdaCoF: Adaptive Collaboration of Flows for Video Frame Interpolation" (CVPR 2020)

an implementation of Revisiting Adaptive Convolutions for Video Frame Interpolation using PyTorch

A Python wrapper of NVIDIA Video Loader (NVVL) with CuPy for fast video loading with Python

a reimplementation of PWC-Net in PyTorch that matches the official Caffe version

a reimplementation of UnFlow in PyTorch that matches the official TensorFlow version

a reimplementation of LiteFlowNet in PyTorch that matches the official Caffe version

NumPy & SciPy for GPU

A flexible framework of neural networks for deep learning

GraphVite: A General and High-performance Graph Embedding System

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

An implementation of the RoiAlign operation for Theano

3D Spatial Transformer Network

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

CUDA implementation of the 2D fast Poisson solver

Fast Clojure Matrix Library

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

Fast Point Cloud Segmentation Using Permutohedral Lattices

CUDA implementation of the Jacobi method

Introduction to Parallel Programming class code

Torch7 bindings for cuda-convnet2 kernels!

Kernel Tuning Toolkit

Real-time video quality improvement for applications such as video-chat using Perceptual Losses

Image recognition and classification using Convolutional Neural Networks with TensorFlow

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

A CUDA project for Molecular Dynamics, Brownian Dynamics, Hydrodynamics... intended to simulate a very generic system constructing a simulation with modules.

Superpixel SLIC for GPU (CUDA)

Bregman ADMM for mass transportation on GPU

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

Slides and demo code for past presentations

An GPU/CUDA implementation of the Hungarian algorithm

CUDA on Intel GPUs

Atmospheric fluid dynamics solver optimized for GPUs.

Deep Object Co-Segmentation

TensorLy: Tensor Learning in Python.

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

Deformable ConvNets V2 (DCNv2) in PyTorch

Performance-optimized wheels for TensorFlow (SSE, AVX, FMA, XLA, MPI)

R package for unleashing the power of NVIDIA GPU's

source code for paper "Deep Discrete Supervised Hashing"

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

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

Clustering via Graphics Processor, using NVIDIA CUDA sdk to preform database clustering on the massively parallel graphics card processor

An interval arithmetic and affine arithmetic library for NVIDIA CUDA

Experiments with CUDA and Rust

label-smooth, amsoftmax, focal-loss, triplet-loss, lovasz-softmax. Maybe useful

Python interface to GPU-powered libraries

Hornet data structure for sparse dynamic graphs and matrices

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

This project is an old code for Chinese words split. It is written by CUDA at 2010, so it could not run well directly under you platform without an GPU card.

Efficient GPU kernels for block-sparse matrix multiplication and convolution

A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends

Utilities for CUDA programming

OpenCL integration for Python, plus shiny features