Pytorch Liteflownet a reimplementation of LiteFlowNet in PyTorch that matches the official Caffe version
Stars: ✭ 281 (-30.1%)
3d Ken Burnsan implementation of 3D Ken Burns Effect from a Single Image using PyTorch
Stars: ✭ 1,073 (+166.92%)
Softmax Splattingan implementation of softmax splatting for differentiable forward warping using PyTorch
Stars: ✭ 218 (-45.77%)
Sepconv Slomoan implementation of Video Frame Interpolation via Adaptive Separable Convolution using PyTorch
Stars: ✭ 918 (+128.36%)
SpeedtorchLibrary for faster pinned CPU <-> GPU transfer in Pytorch
Stars: ✭ 615 (+52.99%)
PynvvlA Python wrapper of NVIDIA Video Loader (NVVL) with CuPy for fast video loading with Python
Stars: ✭ 95 (-76.37%)
CupyNumPy & SciPy for GPU
Stars: ✭ 5,625 (+1299.25%)
Pytorch Unflow a reimplementation of UnFlow in PyTorch that matches the official TensorFlow version
Stars: ✭ 113 (-71.89%)
ChainerA flexible framework of neural networks for deep learning
Stars: ✭ 5,656 (+1306.97%)
Adacof PytorchOfficial source code for our paper "AdaCoF: Adaptive Collaboration of Flows for Video Frame Interpolation" (CVPR 2020)
Stars: ✭ 110 (-72.64%)
SpanetSpatial Attentive Single-Image Deraining with a High Quality Real Rain Dataset (CVPR'19)
Stars: ✭ 136 (-66.17%)
revisiting-sepconvan implementation of Revisiting Adaptive Convolutions for Video Frame Interpolation using PyTorch
Stars: ✭ 43 (-89.3%)
ThrustThe C++ parallel algorithms library.
Stars: ✭ 3,595 (+794.28%)
LoopyA code generator for array-based code on CPUs and GPUs
Stars: ✭ 367 (-8.71%)
Knn CudaFast k nearest neighbor search using GPU
Stars: ✭ 310 (-22.89%)
Person Reid ganICCV2017 Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro
Stars: ✭ 301 (-25.12%)
HipsyclImplementation of SYCL for CPUs, AMD GPUs, NVIDIA GPUs
Stars: ✭ 377 (-6.22%)
Arrayfire PythonPython bindings for ArrayFire: A general purpose GPU library.
Stars: ✭ 358 (-10.95%)
Deep High Resolution Net.pytorchThe project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
Stars: ✭ 3,521 (+775.87%)
Ffmpeg Build ScriptThe FFmpeg build script provides an easy way to build a static FFmpeg on OSX and Linux with non-free codecs included.
Stars: ✭ 290 (-27.86%)
TutorialsSome basic programming tutorials
Stars: ✭ 353 (-12.19%)
XshinnosukeDeep learning framework realized by Numpy purely, supports for both Dynamic Graph and Static Graph with GPU acceleration
Stars: ✭ 291 (-27.61%)
Neuralnetwork.netA TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN
Stars: ✭ 392 (-2.49%)
Cuda.jlCUDA programming in Julia.
Stars: ✭ 370 (-7.96%)
VisionarayA C++-based, cross platform ray tracing library
Stars: ✭ 342 (-14.93%)
Cuarrays.jlA Curious Cumulation of CUDA Cuisine
Stars: ✭ 283 (-29.6%)
Cuda ProgrammingSample codes for my CUDA programming book
Stars: ✭ 313 (-22.14%)
DarkposeDistribution-Aware Coordinate Representation for Human Pose Estimation
Stars: ✭ 369 (-8.21%)
Fast gicpA collection of GICP-based fast point cloud registration algorithms
Stars: ✭ 307 (-23.63%)
Music TranslationA UNIVERSAL MUSIC TRANSLATION NETWORK - a method for translating music across musical instruments and styles.
Stars: ✭ 385 (-4.23%)
Unsupervised VideosUnsupervised Learning of Video Representations using LSTMs
Stars: ✭ 309 (-23.13%)
Cuda Api WrappersThin C++-flavored wrappers for the CUDA Runtime API
Stars: ✭ 362 (-9.95%)
Cuda voxelizerCUDA Voxelizer to convert polygon meshes into annotated voxel grids
Stars: ✭ 299 (-25.62%)
GanetGA-Net: Guided Aggregation Net for End-to-end Stereo Matching
Stars: ✭ 393 (-2.24%)
KomputationKomputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.
Stars: ✭ 295 (-26.62%)
K2FSA/FST algorithms, differentiable, with PyTorch compatibility.
Stars: ✭ 354 (-11.94%)
Open quadtree mappingThis is a monocular dense mapping system corresponding to IROS 2018 "Quadtree-accelerated Real-time Monocular Dense Mapping"
Stars: ✭ 292 (-27.36%)
IlgpuILGPU JIT Compiler for high-performance .Net GPU programs
Stars: ✭ 374 (-6.97%)
Simple Faster Rcnn PytorchA simplified implemention of Faster R-CNN that replicate performance from origin paper
Stars: ✭ 3,422 (+751.24%)
SleefSIMD Library for Evaluating Elementary Functions, vectorized libm and DFT
Stars: ✭ 353 (-12.19%)
Deep DiamondA fast Clojure Tensor & Deep Learning library
Stars: ✭ 288 (-28.36%)
NimtorchPyTorch - Python + Nim
Stars: ✭ 346 (-13.93%)
Tensor StreamA library for real-time video stream decoding to CUDA memory
Stars: ✭ 277 (-31.09%)
Awesome CudaThis is a list of useful libraries and resources for CUDA development.
Stars: ✭ 274 (-31.84%)
NvpipeNVIDIA-accelerated zero latency video compression library for interactive remoting applications
Stars: ✭ 376 (-6.47%)
CudahandbookSource code that accompanies The CUDA Handbook.
Stars: ✭ 345 (-14.18%)
FbcudaFacebook's CUDA extensions.
Stars: ✭ 275 (-31.59%)
HemiSimple utilities to enable code reuse and portability between CUDA C/C++ and standard C/C++.
Stars: ✭ 275 (-31.59%)
BayaderaHigh-performance Bayesian Data Analysis on the GPU in Clojure
Stars: ✭ 342 (-14.93%)
Go CyberYour 🔵 Superintelligence
Stars: ✭ 270 (-32.84%)
AmgclC++ library for solving large sparse linear systems with algebraic multigrid method
Stars: ✭ 390 (-2.99%)
VudaVUDA is a header-only library based on Vulkan that provides a CUDA Runtime API interface for writing GPU-accelerated applications.
Stars: ✭ 373 (-7.21%)
CudppCUDA Data Parallel Primitives Library
Stars: ✭ 333 (-17.16%)
GprmaxgprMax is open source software that simulates electromagnetic wave propagation using the Finite-Difference Time-Domain (FDTD) method for numerical modelling of Ground Penetrating Radar (GPR)
Stars: ✭ 268 (-33.33%)
Dynamicfusion Implementation of Newcombe et al. CVPR 2015 DynamicFusion paper
Stars: ✭ 267 (-33.58%)
ArrayfireArrayFire: a general purpose GPU library.
Stars: ✭ 3,693 (+818.66%)
PyinnCuPy fused PyTorch neural networks ops
Stars: ✭ 265 (-34.08%)