All Projects → Tensorflow Optimized Wheels → Similar Projects or Alternatives

538 Open source projects that are alternatives of or similar to Tensorflow Optimized Wheels

Cglm
📽 Highly Optimized Graphics Math (glm) for C
Stars: ✭ 887 (+651.69%)
Mutual labels:  sse
hipacc
A domain-specific language and compiler for image processing
Stars: ✭ 72 (-38.98%)
Mutual labels:  cuda
Thundersvm
ThunderSVM: A Fast SVM Library on GPUs and CPUs
Stars: ✭ 1,282 (+986.44%)
Mutual labels:  cuda
tiny-cuda-nn
Lightning fast & tiny C++/CUDA neural network framework
Stars: ✭ 908 (+669.49%)
Mutual labels:  cuda
Cudadbclustering
Clustering via Graphics Processor, using NVIDIA CUDA sdk to preform database clustering on the massively parallel graphics card processor
Stars: ✭ 6 (-94.92%)
Mutual labels:  cuda
CudaSHA256
Simple tool to calculate sha256 on GPU using Cuda
Stars: ✭ 38 (-67.8%)
Mutual labels:  cuda
Mpm
Simulating on GPU using Material Point Method and rendering.
Stars: ✭ 61 (-48.31%)
Mutual labels:  cuda
revisiting-sepconv
an implementation of Revisiting Adaptive Convolutions for Video Frame Interpolation using PyTorch
Stars: ✭ 43 (-63.56%)
Mutual labels:  cuda
Pytorch Loss
label-smooth, amsoftmax, focal-loss, triplet-loss, lovasz-softmax. Maybe useful
Stars: ✭ 812 (+588.14%)
Mutual labels:  cuda
lbvh
an implementation of parallel linear BVH (LBVH) on GPU
Stars: ✭ 67 (-43.22%)
Mutual labels:  cuda
Mtensor
A C++ Cuda Tensor Lazy Computing Library
Stars: ✭ 115 (-2.54%)
Mutual labels:  cuda
ThrustRTC
CUDA tool set for non-C++ languages that provides similar functionality like Thrust, with NVRTC at its core.
Stars: ✭ 41 (-65.25%)
Mutual labels:  cuda
Blocksparse
Efficient GPU kernels for block-sparse matrix multiplication and convolution
Stars: ✭ 797 (+575.42%)
Mutual labels:  cuda
Optix Path Tracer
OptiX Path Tracer
Stars: ✭ 60 (-49.15%)
Mutual labels:  cuda
Cuda
Experiments with CUDA and Rust
Stars: ✭ 31 (-73.73%)
Mutual labels:  cuda
Arrayfire Python
Python bindings for ArrayFire: A general purpose GPU library.
Stars: ✭ 358 (+203.39%)
Mutual labels:  cuda
dynamic-occupancy-grid-map
Implementation of A Random Finite Set Approach for Dynamic Occupancy Grid Maps with Real-Time Application
Stars: ✭ 89 (-24.58%)
Mutual labels:  cuda
Pyopencl
OpenCL integration for Python, plus shiny features
Stars: ✭ 790 (+569.49%)
Mutual labels:  cuda
warp
continuous energy monte carlo neutron transport in general geometries on GPUs
Stars: ✭ 27 (-77.12%)
Mutual labels:  cuda
Spring 5 Examples
This repository is contains spring-boot 2 / spring framework 5 project examples. Using reactive programming model / paradigm and Kotlin
Stars: ✭ 87 (-26.27%)
Mutual labels:  sse
bazel.cmake
bazel.cmake mimics the behavior of bazel to simplify the usability of CMake
Stars: ✭ 38 (-67.8%)
Mutual labels:  cuda
Marian
Fast Neural Machine Translation in C++
Stars: ✭ 777 (+558.47%)
Mutual labels:  cuda
Jampack
Experimental parallel compression algorithm
Stars: ✭ 21 (-82.2%)
Mutual labels:  cuda
Pytorch knn cuda
K-Nearest Neighbor in Pytorch
Stars: ✭ 59 (-50%)
Mutual labels:  cuda
block-aligner
SIMD-accelerated library for computing global and X-drop affine gap penalty sequence-to-sequence or sequence-to-profile alignments using an adaptive block-based algorithm.
Stars: ✭ 58 (-50.85%)
Mutual labels:  avx2
Accelerate
Embedded language for high-performance array computations
Stars: ✭ 751 (+536.44%)
Mutual labels:  cuda
Deepnet
Deep.Net machine learning framework for F#
Stars: ✭ 99 (-16.1%)
Mutual labels:  cuda
Fat-Clouds
GPU Fluid Simulation with Volumetric Rendering
Stars: ✭ 81 (-31.36%)
Mutual labels:  cuda
Kintinuous
Real-time large scale dense visual SLAM system
Stars: ✭ 740 (+527.12%)
Mutual labels:  cuda
FLAMEGPU2
FLAME GPU 2 is a GPU accelerated agent based modelling framework for C++ and Python
Stars: ✭ 25 (-78.81%)
Mutual labels:  cuda
Cme213 material 2013
CME 213 Class Material
Stars: ✭ 57 (-51.69%)
Mutual labels:  cuda
positional-popcount
Fast C functions for the computing the positional popcount (pospopcnt).
Stars: ✭ 47 (-60.17%)
Mutual labels:  avx2
Iodine
iodine - HTTP / WebSockets Server for Ruby with Pub/Sub support
Stars: ✭ 720 (+510.17%)
Mutual labels:  sse
cs
开箱即用的基于命令的消息处理框架,让 websocket 和 tcp 开发就像 http 那样简单
Stars: ✭ 19 (-83.9%)
Mutual labels:  sse
Python Opencv Cuda
custom opencv_contrib module which exposes opencv cuda optical flow methods with python bindings
Stars: ✭ 86 (-27.12%)
Mutual labels:  cuda
pyRender
Lightweight Cuda Renderer with Python Wrapper.
Stars: ✭ 49 (-58.47%)
Mutual labels:  cuda
Cuda Convnet2
Automatically exported from code.google.com/p/cuda-convnet2
Stars: ✭ 690 (+484.75%)
Mutual labels:  cuda
rust-inline-cuda-tutorial
Let's jump into CUDA development with Rust
Stars: ✭ 17 (-85.59%)
Mutual labels:  cuda
Cuda Samples
Samples for CUDA Developers which demonstrates features in CUDA Toolkit
Stars: ✭ 1,087 (+821.19%)
Mutual labels:  cuda
GPU-Pathtracer
GPU Raytracer from scratch in C++/CUDA
Stars: ✭ 326 (+176.27%)
Mutual labels:  cuda
Nv Wavenet
Reference implementation of real-time autoregressive wavenet inference
Stars: ✭ 681 (+477.12%)
Mutual labels:  cuda
briefmatch
BriefMatch real-time GPU optical flow
Stars: ✭ 36 (-69.49%)
Mutual labels:  cuda
Adacof Pytorch
Official source code for our paper "AdaCoF: Adaptive Collaboration of Flows for Video Frame Interpolation" (CVPR 2020)
Stars: ✭ 110 (-6.78%)
Mutual labels:  cuda
NN-CUDA-Example
Several simple examples for popular neural network toolkits calling custom CUDA operators.
Stars: ✭ 594 (+403.39%)
Mutual labels:  cuda
Highwayhash
Native Go version of HighwayHash with optimized assembly implementations on Intel and ARM. Able to process over 10 GB/sec on a single core on Intel CPUs - https://en.wikipedia.org/wiki/HighwayHash
Stars: ✭ 670 (+467.8%)
Mutual labels:  avx2
Hzproc
torch data augmentation toolbox (supports affine transform)
Stars: ✭ 56 (-52.54%)
Mutual labels:  cuda
K2
FSA/FST algorithms, differentiable, with PyTorch compatibility.
Stars: ✭ 354 (+200%)
Mutual labels:  cuda
Elasticfusion
Real-time dense visual SLAM system
Stars: ✭ 1,298 (+1000%)
Mutual labels:  cuda
Deepjointfilter
The source code of ECCV16 'Deep Joint Image Filtering'.
Stars: ✭ 68 (-42.37%)
Mutual labels:  cuda
Cuda word split
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.
Stars: ✭ 31 (-73.73%)
Mutual labels:  cuda
Tutorials
Some basic programming tutorials
Stars: ✭ 353 (+199.15%)
Mutual labels:  cuda
Mc Cnn
Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches
Stars: ✭ 638 (+440.68%)
Mutual labels:  cuda
GOSH
An ultra-fast, GPU-based large graph embedding algorithm utilizing a novel coarsening algorithm requiring not more than a single GPU.
Stars: ✭ 12 (-89.83%)
Mutual labels:  cuda
Sleef
SIMD Library for Evaluating Elementary Functions, vectorized libm and DFT
Stars: ✭ 353 (+199.15%)
Mutual labels:  cuda
Cuda Utilities
Utilities for CUDA programming
Stars: ✭ 30 (-74.58%)
Mutual labels:  cuda
Atmosphere
Realtime Client Server Framework for the JVM, supporting WebSockets with Cross-Browser Fallbacks
Stars: ✭ 3,552 (+2910.17%)
Mutual labels:  sse
Visionaray
A C++-based, cross platform ray tracing library
Stars: ✭ 342 (+189.83%)
Mutual labels:  cuda
Torch sampling
Efficient reservoir sampling implementation for PyTorch
Stars: ✭ 68 (-42.37%)
Mutual labels:  cuda
Cuda Cnn
Implementation of a simple CNN using CUDA
Stars: ✭ 29 (-75.42%)
Mutual labels:  cuda
Nimtorch
PyTorch - Python + Nim
Stars: ✭ 346 (+193.22%)
Mutual labels:  cuda
301-360 of 538 similar projects