483 Open source projects that are alternatives of or similar to Darkpose

🏃‍♀️ A curated list about human motion capture, analysis and synthesis.

MatConvNet: CNNs for MATLAB

A Curious Cumulation of CUDA Cuisine

Deep Learning library using GPU(CUDA/cuBLAS)

PyTorch implementation of V2V-PoseNet with IntegralPose/PoseFix loss

Weighted Softmax Loss Layer for Caffe

An efficient C++17 GPU numerical computing library with Python-like syntax

ThunderSVM: A Fast SVM Library on GPUs and CPUs

PyTorch Implementation of Realtime Multi-Person Pose Estimation project.

A community run, 5-day PyTorch Deep Learning Bootcamp

FSA/FST algorithms, differentiable, with PyTorch compatibility.

pytorch knn [cuda version]

Repository for Paper: Cross-Domain Complementary Learning Using Pose for Multi-Person Part Segmentation (TCSVT20)

PyTorch 1.0 implementation of the approximate Earth Mover's Distance

Template repository to build PyTorch projects from source on any version of PyTorch/CUDA/cuDNN.

A CUDA Extension of Neural Network Libraries

Fast and accurate single-person pose estimation, ranked 10th at CVPR'19 LIP challenge. Contains implementation of "Global Context for Convolutional Pose Machines" paper.

Some CUDA design patterns and a bit of template magic for CUDA

A library for real-time video stream decoding to CUDA memory

Julia wrapper for CUDA runtime API

2D&3D human pose estimation

An extensible HPC framework for CUDA, OpenCL and native CPU.

continuous energy monte carlo neutron transport in general geometries on GPUs

The source code of ECCV16 'Deep Joint Image Filtering'.

implementation of PersonLab(https://arxiv.org/abs/1803.08225) using TF-slim

GPU database engine

The C++ parallel algorithms library.

AutoDock for GPUs and other accelerators

Fast and accurate Human Pose Estimation using ShelfNet with PyTorch

A Julia wrapper for the CUDA driver API.

bazel.cmake mimics the behavior of bazel to simplify the usability of CMake

@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.

Human3.6M downloader by Python

GGNN: State of the Art Graph-based GPU Nearest Neighbor Search

Code for the Pose Residual Network introduced in 'MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network' paper https://arxiv.org/abs/1807.04067

Application of machine learning to the Coinbase (GDAX) orderbook

A PyTorch toolkit for 2D Human Pose Estimation.

CUDA integration for Python, plus shiny features

Experimental parallel compression algorithm

PyTorch bindinga for Baidu's Warp-CTC

💃 Real-time single person pose estimation for Android and iOS.

Flattened convolutional neural networks (1D convolution modules for Torch nn)

Implementation of various human pose estimation models in pytorch on multiple datasets (MPII & COCO) along with pretrained models

Collection of Docker images for ML/DL and video processing projects

Keras version of Realtime Multi-Person Pose Estimation project

Concurrent CPU-GPU Programming using Task Models

All-in-one mixed multi-GPU (nVidia, AMD, Intel) & CPU miner solves proof of work to mine supported EIP918 tokens in a single instance (with API).

NVBIO is a library of reusable components designed to accelerate bioinformatics applications using CUDA.

Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System

点云深度学习框架 | Point cloud Deep learning Framework

Simple utilities to enable code reuse and portability between CUDA C/C++ and standard C/C++.

Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)

A code generator for array-based code on CPUs and GPUs

Python bindings for ArrayFire: A general purpose GPU library.

A C++-based, cross platform ray tracing library

ArrayFire: a general purpose GPU library.

This is a monocular dense mapping system corresponding to IROS 2018 "Quadtree-accelerated Real-time Monocular Dense Mapping"

Dockerfiles for OpenCV compiled with CUDA, opencv_contrib modules and Python 3 bindings

ICON: Implicit Clothed humans Obtained from Normals (CVPR 2022)

CNN accelerated by cuda. Test on mnist and finilly get 99.76%