All Projects → Softmax Splatting → Similar Projects or Alternatives

415 Open source projects that are alternatives of or similar to Softmax Splatting

Parenchyma
An extensible HPC framework for CUDA, OpenCL and native CPU.
Stars: ✭ 71 (-67.43%)
Mutual labels:  cuda
Claymore
Stars: ✭ 135 (-38.07%)
Mutual labels:  cuda
Deepjointfilter
The source code of ECCV16 'Deep Joint Image Filtering'.
Stars: ✭ 68 (-68.81%)
Mutual labels:  cuda
Nccl Tests
NCCL Tests
Stars: ✭ 166 (-23.85%)
Mutual labels:  cuda
Alenka
GPU database engine
Stars: ✭ 1,150 (+427.52%)
Mutual labels:  cuda
Nnvm
No description or website provided.
Stars: ✭ 1,639 (+651.83%)
Mutual labels:  cuda
Autodock Gpu
AutoDock for GPUs and other accelerators
Stars: ✭ 65 (-70.18%)
Mutual labels:  cuda
Ck Caffe
Collective Knowledge workflow for Caffe to automate installation across diverse platforms and to collaboratively evaluate and optimize Caffe-based workloads across diverse hardware, software and data sets (compilers, libraries, tools, models, inputs):
Stars: ✭ 192 (-11.93%)
Mutual labels:  cuda
Cudadrv.jl
A Julia wrapper for the CUDA driver API.
Stars: ✭ 64 (-70.64%)
Mutual labels:  cuda
Mixbench
A GPU benchmark tool for evaluating GPUs on mixed operational intensity kernels (CUDA, OpenCL, HIP, SYCL)
Stars: ✭ 130 (-40.37%)
Mutual labels:  cuda
Mpn Cov
@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.
Stars: ✭ 63 (-71.1%)
Mutual labels:  cuda
Opencuda
Stars: ✭ 164 (-24.77%)
Mutual labels:  cuda
Ggnn
GGNN: State of the Art Graph-based GPU Nearest Neighbor Search
Stars: ✭ 63 (-71.1%)
Mutual labels:  cuda
Professional Cuda C Programming
Stars: ✭ 127 (-41.74%)
Mutual labels:  cuda
Gdax Orderbook Ml
Application of machine learning to the Coinbase (GDAX) orderbook
Stars: ✭ 60 (-72.48%)
Mutual labels:  cuda
Amgx
Distributed multigrid linear solver library on GPU
Stars: ✭ 207 (-5.05%)
Mutual labels:  cuda
Pycuda
CUDA integration for Python, plus shiny features
Stars: ✭ 1,112 (+410.09%)
Mutual labels:  cuda
Kaldi
kaldi-asr/kaldi is the official location of the Kaldi project.
Stars: ✭ 11,151 (+5015.14%)
Mutual labels:  cuda
Pytorch Baidu Ctc
PyTorch bindinga for Baidu's Warp-CTC
Stars: ✭ 61 (-72.02%)
Mutual labels:  cuda
Primitiv
A Neural Network Toolkit.
Stars: ✭ 164 (-24.77%)
Mutual labels:  cuda
Flattened Cnn
Flattened convolutional neural networks (1D convolution modules for Torch nn)
Stars: ✭ 59 (-72.94%)
Mutual labels:  cuda
Fcis
Fully Convolutional Instance-aware Semantic Segmentation
Stars: ✭ 1,563 (+616.97%)
Mutual labels:  cuda
Dokai
Collection of Docker images for ML/DL and video processing projects
Stars: ✭ 58 (-73.39%)
Mutual labels:  cuda
Macos Egpu Cuda Guide
Set up CUDA for machine learning (and gaming) on macOS using a NVIDIA eGPU
Stars: ✭ 187 (-14.22%)
Mutual labels:  cuda
Heteroflow
Concurrent CPU-GPU Programming using Task Models
Stars: ✭ 57 (-73.85%)
Mutual labels:  cuda
Onemkl
oneAPI Math Kernel Library (oneMKL) Interfaces
Stars: ✭ 122 (-44.04%)
Mutual labels:  cuda
Nvbio Gpl
NVBIO is a library of reusable components designed to accelerate bioinformatics applications using CUDA.
Stars: ✭ 56 (-74.31%)
Mutual labels:  cuda
Mobulaop
A Simple & Flexible Cross Framework Operators Toolkit
Stars: ✭ 161 (-26.15%)
Mutual labels:  cupy
Pyhpc Benchmarks
A suite of benchmarks to test the sequential CPU and GPU performance of most popular high-performance libraries for Python.
Stars: ✭ 119 (-45.41%)
Mutual labels:  cupy
Pytorch Emdloss
PyTorch 1.0 implementation of the approximate Earth Mover's Distance
Stars: ✭ 82 (-62.39%)
Mutual labels:  cuda
Deformable conv2d pytorch
deformable_conv2d layer implemented in pytorch
Stars: ✭ 53 (-75.69%)
Mutual labels:  cuda
Genomeworks
SDK for GPU accelerated genome assembly and analysis
Stars: ✭ 215 (-1.38%)
Mutual labels:  cuda
Carlsim3
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.
Stars: ✭ 52 (-76.15%)
Mutual labels:  cuda
Tensorflow Optimized Wheels
TensorFlow wheels built for latest CUDA/CuDNN and enabled performance flags: SSE, AVX, FMA; XLA
Stars: ✭ 118 (-45.87%)
Mutual labels:  cuda
Cs344
Introduction to Parallel Programming class code
Stars: ✭ 1,051 (+382.11%)
Mutual labels:  cuda
Clojurecuda
Clojure library for CUDA development
Stars: ✭ 158 (-27.52%)
Mutual labels:  cuda
Singularity Tutorial
Tutorial for using Singularity containers
Stars: ✭ 46 (-78.9%)
Mutual labels:  cuda
Mtensor
A C++ Cuda Tensor Lazy Computing Library
Stars: ✭ 115 (-47.25%)
Mutual labels:  cuda
Lyra
Stars: ✭ 43 (-80.28%)
Mutual labels:  cuda
Hybridizer Basic Samples
Examples of C# code compiled to GPU by hybridizer
Stars: ✭ 186 (-14.68%)
Mutual labels:  cuda
Cuda Convnet2.torch
Torch7 bindings for cuda-convnet2 kernels!
Stars: ✭ 42 (-80.73%)
Mutual labels:  cuda
Pytorch spn
Extension package for spatial propagation network in pytorch.
Stars: ✭ 114 (-47.71%)
Mutual labels:  cuda
Sixtyfour
How fast can we brute force a 64-bit comparison?
Stars: ✭ 41 (-81.19%)
Mutual labels:  cuda
3dunderworld Sls Gpu cpu
A structured light scanner
Stars: ✭ 157 (-27.98%)
Mutual labels:  cuda
Nbody
N body gravity attraction problem solver
Stars: ✭ 40 (-81.65%)
Mutual labels:  cuda
Nsimd
Agenium Scale vectorization library for CPUs and GPUs
Stars: ✭ 138 (-36.7%)
Mutual labels:  cuda
Modulated Deform Conv
deformable convolution 2D 3D DeformableConvolution DeformConv Modulated Pytorch CUDA
Stars: ✭ 81 (-62.84%)
Mutual labels:  cuda
Oneflow
OneFlow is a performance-centered and open-source deep learning framework.
Stars: ✭ 2,868 (+1215.6%)
Mutual labels:  cuda
Nvidia libs test
Tests and benchmarks for cudnn (and in the future, other nvidia libraries)
Stars: ✭ 36 (-83.49%)
Mutual labels:  cuda
Futhark
💥💻💥 A data-parallel functional programming language
Stars: ✭ 1,641 (+652.75%)
Mutual labels:  cuda
Object Detection And Location Realsensed435
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
Stars: ✭ 36 (-83.49%)
Mutual labels:  cuda
Cumf als
CUDA Matrix Factorization Library with Alternating Least Square (ALS)
Stars: ✭ 154 (-29.36%)
Mutual labels:  cuda
Nnabla Ext Cuda
A CUDA Extension of Neural Network Libraries
Stars: ✭ 79 (-63.76%)
Mutual labels:  cuda
Quda
QUDA is a library for performing calculations in lattice QCD on GPUs.
Stars: ✭ 166 (-23.85%)
Mutual labels:  cuda
Marian Dev
Fast Neural Machine Translation in C++ - development repository
Stars: ✭ 136 (-37.61%)
Mutual labels:  cuda
2016 super resolution
ICCV2015 Image Super-Resolution Using Deep Convolutional Networks
Stars: ✭ 78 (-64.22%)
Mutual labels:  cuda
Cuda Design Patterns
Some CUDA design patterns and a bit of template magic for CUDA
Stars: ✭ 78 (-64.22%)
Mutual labels:  cuda
Hiop
HPC solver for nonlinear optimization problems
Stars: ✭ 75 (-65.6%)
Mutual labels:  cuda
Cudart.jl
Julia wrapper for CUDA runtime API
Stars: ✭ 75 (-65.6%)
Mutual labels:  cuda
Nvidia Gpu Tensor Core Accelerator Pytorch Opencv
A complete machine vision container that includes Jupyter notebooks with built-in code hinting, Anaconda, CUDA-X, TensorRT inference accelerator for Tensor cores, CuPy (GPU drop in replacement for Numpy), PyTorch, TF2, Tensorboard, and OpenCV for accelerated workloads on NVIDIA Tensor cores and GPUs.
Stars: ✭ 110 (-49.54%)
Mutual labels:  cupy
121-180 of 415 similar projects