All Projects → Optical Flow Filter → Similar Projects or Alternatives

7389 Open source projects that are alternatives of or similar to Optical Flow Filter

Cupoch
Robotics with GPU computing
Stars: ✭ 225 (+54.11%)
Mutual labels:  robotics, gpu, gpgpu, cuda
Arrayfire Python
Python bindings for ArrayFire: A general purpose GPU library.
Stars: ✭ 358 (+145.21%)
Mutual labels:  gpu, gpgpu, cuda
Neanderthal
Fast Clojure Matrix Library
Stars: ✭ 927 (+534.93%)
Mutual labels:  gpu, gpgpu, cuda
Awesome Cuda
This is a list of useful libraries and resources for CUDA development.
Stars: ✭ 274 (+87.67%)
Mutual labels:  gpu, gpgpu, cuda
MatX
An efficient C++17 GPU numerical computing library with Python-like syntax
Stars: ✭ 418 (+186.3%)
Mutual labels:  gpu, cuda, gpgpu
Hipsycl
Implementation of SYCL for CPUs, AMD GPUs, NVIDIA GPUs
Stars: ✭ 377 (+158.22%)
Mutual labels:  gpu, gpgpu, cuda
Plotoptix
Data visualisation in Python based on OptiX 7.2 ray tracing framework.
Stars: ✭ 252 (+72.6%)
Mutual labels:  gpu, real-time, cuda
Ilgpu
ILGPU JIT Compiler for high-performance .Net GPU programs
Stars: ✭ 374 (+156.16%)
Mutual labels:  gpu, gpgpu, cuda
tiny-cuda-nn
Lightning fast & tiny C++/CUDA neural network framework
Stars: ✭ 908 (+521.92%)
Mutual labels:  real-time, gpu, cuda
Occa
JIT Compilation for Multiple Architectures: C++, OpenMP, CUDA, HIP, OpenCL, Metal
Stars: ✭ 230 (+57.53%)
Mutual labels:  gpu, gpgpu, cuda
Futhark
💥💻💥 A data-parallel functional programming language
Stars: ✭ 1,641 (+1023.97%)
Mutual labels:  gpu, gpgpu, cuda
Arrayfire Rust
Rust wrapper for ArrayFire
Stars: ✭ 525 (+259.59%)
Mutual labels:  gpu, gpgpu, cuda
Stdgpu
stdgpu: Efficient STL-like Data Structures on the GPU
Stars: ✭ 531 (+263.7%)
Mutual labels:  gpu, gpgpu, cuda
Bitcracker
BitCracker is the first open source password cracking tool for memory units encrypted with BitLocker
Stars: ✭ 463 (+217.12%)
Mutual labels:  gpu, gpgpu, cuda
Cuda Api Wrappers
Thin C++-flavored wrappers for the CUDA Runtime API
Stars: ✭ 362 (+147.95%)
Mutual labels:  gpu, gpgpu, cuda
Deep Learning Boot Camp
A community run, 5-day PyTorch Deep Learning Bootcamp
Stars: ✭ 1,270 (+769.86%)
Mutual labels:  jupyter-notebook, gpu, cuda
Parenchyma
An extensible HPC framework for CUDA, OpenCL and native CPU.
Stars: ✭ 71 (-51.37%)
Mutual labels:  gpu, gpgpu, cuda
briefmatch
BriefMatch real-time GPU optical flow
Stars: ✭ 36 (-75.34%)
Mutual labels:  real-time, gpu, cuda
Arrayfire
ArrayFire: a general purpose GPU library.
Stars: ✭ 3,693 (+2429.45%)
Mutual labels:  gpu, gpgpu, cuda
Lighthouse2
Lighthouse 2 framework for real-time ray tracing
Stars: ✭ 542 (+271.23%)
Mutual labels:  gpu, real-time, cuda
Metalpetal
A GPU accelerated image and video processing framework built on Metal.
Stars: ✭ 907 (+521.23%)
Mutual labels:  gpu, gpgpu, real-time
Memory Efficient Maml
Memory efficient MAML using gradient checkpointing
Stars: ✭ 60 (-58.9%)
Mutual labels:  jupyter-notebook, gpu
Optix Path Tracer
OptiX Path Tracer
Stars: ✭ 60 (-58.9%)
Mutual labels:  gpu, cuda
Aiopen
AIOpen是一个按人工智能三要素(数据、算法、算力)进行AI开源项目分类的汇集项目,项目致力于跟踪目前人工智能(AI)的深度学习(DL)开源项目,并尽可能地罗列目前的开源项目,同时加入了一些曾经研究过的代码。通过这些开源项目,使初次接触AI的人们对人工智能(深度学习)有更清晰和更全面的了解。
Stars: ✭ 62 (-57.53%)
Mutual labels:  jupyter-notebook, gpu
Arboretum
Gradient Boosting powered by GPU(NVIDIA CUDA)
Stars: ✭ 64 (-56.16%)
Mutual labels:  gpu, cuda
Gdax Orderbook Ml
Application of machine learning to the Coinbase (GDAX) orderbook
Stars: ✭ 60 (-58.9%)
Mutual labels:  jupyter-notebook, cuda
Compute
A C++ GPU Computing Library for OpenCL
Stars: ✭ 1,192 (+716.44%)
Mutual labels:  gpu, gpgpu
Cudart.jl
Julia wrapper for CUDA runtime API
Stars: ✭ 75 (-48.63%)
Mutual labels:  gpu, cuda
Heteroflow
Concurrent CPU-GPU Programming using Task Models
Stars: ✭ 57 (-60.96%)
Mutual labels:  gpu, 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 (-64.38%)
Mutual labels:  gpu, cuda
Pycuda
CUDA integration for Python, plus shiny features
Stars: ✭ 1,112 (+661.64%)
Mutual labels:  gpu, cuda
Gbrain
GPU Javascript Library for Machine Learning
Stars: ✭ 48 (-67.12%)
Mutual labels:  gpu, gpgpu
Ggnn
GGNN: State of the Art Graph-based GPU Nearest Neighbor Search
Stars: ✭ 63 (-56.85%)
Mutual labels:  gpu, cuda
Tsne Cuda
GPU Accelerated t-SNE for CUDA with Python bindings
Stars: ✭ 1,120 (+667.12%)
Mutual labels:  gpu, cuda
Ab3dmot
(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"
Stars: ✭ 1,032 (+606.85%)
Mutual labels:  robotics, real-time
Aardvark.rendering
The dependency-aware, high-performance aardvark rendering engine. This repo is part of aardvark - an open-source platform for visual computing, real-time graphics and visualization.
Stars: ✭ 79 (-45.89%)
Mutual labels:  gpu, gpgpu
Cuda Design Patterns
Some CUDA design patterns and a bit of template magic for CUDA
Stars: ✭ 78 (-46.58%)
Mutual labels:  gpu, cuda
Mpr
Reference implementation for "Massively Parallel Rendering of Complex Closed-Form Implicit Surfaces" (SIGGRAPH 2020)
Stars: ✭ 84 (-42.47%)
Mutual labels:  gpu, cuda
Hyperlearn
50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster
Stars: ✭ 1,204 (+724.66%)
Mutual labels:  jupyter-notebook, gpu
Glove As A Tensorflow Embedding Layer
Taking a pretrained GloVe model, and using it as a TensorFlow embedding weight layer **inside the GPU**. Therefore, you only need to send the index of the words through the GPU data transfer bus, reducing data transfer overhead.
Stars: ✭ 85 (-41.78%)
Mutual labels:  jupyter-notebook, gpu
Training Material
A collection of code examples as well as presentations for training purposes
Stars: ✭ 85 (-41.78%)
Mutual labels:  jupyter-notebook, gpu
Xpedite
A non-sampling profiler purpose built to measure and optimize performance of ultra low latency/real time systems
Stars: ✭ 89 (-39.04%)
Mutual labels:  jupyter-notebook, real-time
Thundersvm
ThunderSVM: A Fast SVM Library on GPUs and CPUs
Stars: ✭ 1,282 (+778.08%)
Mutual labels:  gpu, cuda
Deeppipe2
Deep Learning library using GPU(CUDA/cuBLAS)
Stars: ✭ 90 (-38.36%)
Mutual labels:  gpu, cuda
Pynvvl
A Python wrapper of NVIDIA Video Loader (NVVL) with CuPy for fast video loading with Python
Stars: ✭ 95 (-34.93%)
Mutual labels:  gpu, cuda
Qualia2.0
Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.
Stars: ✭ 41 (-71.92%)
Mutual labels:  gpu, cuda
Cekirdekler
Multi-device OpenCL kernel load balancer and pipeliner API for C#. Uses shared-distributed memory model to keep GPUs updated fast while using same kernel on all devices(for simplicity).
Stars: ✭ 76 (-47.95%)
Mutual labels:  gpu, gpgpu
Pytorch
PyTorch tutorials A to Z
Stars: ✭ 87 (-40.41%)
Mutual labels:  jupyter-notebook, gpu
Numer
Numeric Erlang - vector and matrix operations with CUDA. Heavily inspired by Pteracuda - https://github.com/kevsmith/pteracuda
Stars: ✭ 91 (-37.67%)
Mutual labels:  gpu, cuda
Supra
SUPRA: Software Defined Ultrasound Processing for Real-Time Applications - An Open Source 2D and 3D Pipeline from Beamforming to B-Mode
Stars: ✭ 96 (-34.25%)
Mutual labels:  real-time, cuda
Pygraphistry
PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer
Stars: ✭ 1,365 (+834.93%)
Mutual labels:  gpu, cuda
Curved Lane Lines
detect curved lane lines using HSV filtering and sliding window search.
Stars: ✭ 100 (-31.51%)
Mutual labels:  robotics, jupyter-notebook
Pose Interpreter Networks
Real-Time Object Pose Estimation with Pose Interpreter Networks (IROS 2018)
Stars: ✭ 104 (-28.77%)
Mutual labels:  robotics, jupyter-notebook
Remotery
Single C file, Realtime CPU/GPU Profiler with Remote Web Viewer
Stars: ✭ 1,908 (+1206.85%)
Mutual labels:  gpu, cuda
Deepnet
Deep.Net machine learning framework for F#
Stars: ✭ 99 (-32.19%)
Mutual labels:  gpu, cuda
Grl
Robotics tools in C++11. Implements soft real time arm drivers for Kuka LBR iiwa plus V-REP, ROS, Constrained Optimization based planning, Hand Eye Calibration and Inverse Kinematics integration.
Stars: ✭ 105 (-28.08%)
Mutual labels:  robotics, real-time
Hashcat
World's fastest and most advanced password recovery utility
Stars: ✭ 11,014 (+7443.84%)
Mutual labels:  gpgpu, cuda
Spoc
Stream Processing with OCaml
Stars: ✭ 115 (-21.23%)
Mutual labels:  gpgpu, cuda
Tensorflow Object Detection Tutorial
The purpose of this tutorial is to learn how to install and prepare TensorFlow framework to train your own convolutional neural network object detection classifier for multiple objects, starting from scratch
Stars: ✭ 113 (-22.6%)
Mutual labels:  gpu, cuda
Ds bowl 2018
Kaggle Data Science Bowl 2018
Stars: ✭ 116 (-20.55%)
Mutual labels:  jupyter-notebook, gpu
1-60 of 7389 similar projects