Torch samplingEfficient reservoir sampling implementation for PyTorch
Stars: ✭ 68 (-76.55%)
Pytorch hmrpytorch version of "End-to-end Recovery of Human Shape and Pose"
Stars: ✭ 402 (+38.62%)
octotigerAstrophysics program simulating the evolution of star systems based on the fast multipole method on adaptive Octrees
Stars: ✭ 30 (-89.66%)
ArboretumGradient Boosting powered by GPU(NVIDIA CUDA)
Stars: ✭ 64 (-77.93%)
CudadtwGPU-Suite
Stars: ✭ 63 (-78.28%)
allgebraBase container for developing C++ and Fortran HPC applications
Stars: ✭ 14 (-95.17%)
CutlassCUDA Templates for Linear Algebra Subroutines
Stars: ✭ 1,123 (+287.24%)
Pytorch Human Pose EstimationImplementation of various human pose estimation models in pytorch on multiple datasets (MPII & COCO) along with pretrained models
Stars: ✭ 346 (+19.31%)
Tsne CudaGPU Accelerated t-SNE for CUDA with Python bindings
Stars: ✭ 1,120 (+286.21%)
Cuarrays.jlA Curious Cumulation of CUDA Cuisine
Stars: ✭ 283 (-2.41%)
MinkowskiengineMinkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
Stars: ✭ 1,110 (+282.76%)
Simple HrnetMulti-person Human Pose Estimation with HRNet in Pytorch
Stars: ✭ 299 (+3.1%)
ctuning-programsCollective Knowledge extension with unified and customizable benchmarks (with extensible JSON meta information) to be easily integrated with customizable and portable Collective Knowledge workflows. You can easily compile and run these benchmarks using different compilers, environments, hardware and OS (Linux, MacOS, Windows, Android). More info:
Stars: ✭ 41 (-85.86%)
FcisFully Convolutional Instance-aware Semantic Segmentation
Stars: ✭ 1,563 (+438.97%)
Posefix releaseOfficial TensorFlow implementation of "PoseFix: Model-agnostic General Human Pose Refinement Network", CVPR 2019
Stars: ✭ 296 (+2.07%)
ThrustRTCCUDA tool set for non-C++ languages that provides similar functionality like Thrust, with NVRTC at its core.
Stars: ✭ 41 (-85.86%)
Tf SimplehumanposeTensorFlow implementation of "Simple Baselines for Human Pose Estimation and Tracking", ECCV 2018
Stars: ✭ 291 (+0.34%)
Cuda SamplesSamples for CUDA Developers which demonstrates features in CUDA Toolkit
Stars: ✭ 1,087 (+274.83%)
dbcsrDBCSR: Distributed Block Compressed Sparse Row matrix library
Stars: ✭ 65 (-77.59%)
Hzproctorch data augmentation toolbox (supports affine transform)
Stars: ✭ 56 (-80.69%)
AresdbA GPU-powered real-time analytics storage and query engine.
Stars: ✭ 2,814 (+870.34%)
3d Ken Burnsan implementation of 3D Ken Burns Effect from a Single Image using PyTorch
Stars: ✭ 1,073 (+270%)
gpu-monitorScript to remotely check GPU servers for free GPUs
Stars: ✭ 85 (-70.69%)
PamtriPAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification (ICCV 2019) - Official PyTorch Implementation
Stars: ✭ 53 (-81.72%)
DlamiA Deep Learning Amazon Web Service (AWS) AMI that is open, free and works. Run in less than 5 minutes. TensorFlow, Keras, PyTorch, Theano, MXNet, CNTK, Caffe and all dependencies.
Stars: ✭ 239 (-17.59%)
HungariangpuAn GPU/CUDA implementation of the Hungarian algorithm
Stars: ✭ 51 (-82.41%)
HornetHornet data structure for sparse dynamic graphs and matrices
Stars: ✭ 49 (-83.1%)
Slic cudaSuperpixel SLIC for GPU (CUDA)
Stars: ✭ 45 (-84.48%)
mini-nbodyA simple gravitational N-body simulation in less than 100 lines of C code, with CUDA optimizations.
Stars: ✭ 73 (-74.83%)
Docs PytorchDeep Object Co-Segmentation
Stars: ✭ 43 (-85.17%)
OccaJIT Compilation for Multiple Architectures: C++, OpenMP, CUDA, HIP, OpenCL, Metal
Stars: ✭ 230 (-20.69%)
Qualia2.0Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.
Stars: ✭ 41 (-85.86%)
nodeGPU-accelerated data science and visualization in node
Stars: ✭ 85 (-70.69%)
Octree SlamLarge octree map construction and rendering with CUDA and OpenGL
Stars: ✭ 40 (-86.21%)
Optix PathtracerSimple physically based path tracer based on Nvidia's Optix Ray Tracing Engine
Stars: ✭ 231 (-20.34%)
Style Feature Reshufflecaffe implementation of "Arbitrary Style Transfer with Deep Feature Reshuffle"
Stars: ✭ 38 (-86.9%)
HemiSimple utilities to enable code reuse and portability between CUDA C/C++ and standard C/C++.
Stars: ✭ 275 (-5.17%)
Smallpt Parallel Bvh GpuA GPU implementation of smallpt (http://www.kevinbeason.com/smallpt/) with Bounding Volume Hierarchy (BVH) tree.
Stars: ✭ 36 (-87.59%)
TengineTengine is a lite, high performance, modular inference engine for embedded device
Stars: ✭ 4,012 (+1283.45%)
Cure Stars: ✭ 36 (-87.59%)
DeepVTB🌌 OpenVTuber-虚拟アイドル共享计划 An application of real-time face and gaze analyzation via deep nerual networks.
Stars: ✭ 32 (-88.97%)
KttKernel Tuning Toolkit
Stars: ✭ 33 (-88.62%)
CupochRobotics with GPU computing
Stars: ✭ 225 (-22.41%)
Simple Sh DatascienceA collection of Bash scripts and Dockerfiles to install data science Tool, Lib and application
Stars: ✭ 32 (-88.97%)
MatXAn efficient C++17 GPU numerical computing library with Python-like syntax
Stars: ✭ 418 (+44.14%)
DeepspeechDeepSpeech neon implementation
Stars: ✭ 223 (-23.1%)
Deep DiamondA fast Clojure Tensor & Deep Learning library
Stars: ✭ 288 (-0.69%)
3dmppe rootnet releaseOfficial PyTorch implementation of "Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image", ICCV 2019
Stars: ✭ 276 (-4.83%)
Awesome CudaThis is a list of useful libraries and resources for CUDA development.
Stars: ✭ 274 (-5.52%)
Kinectfusionlib Implementation of the KinectFusion approach in modern C++14 and CUDA
Stars: ✭ 261 (-10%)
mbsolveAn open-source solver tool for the Maxwell-Bloch equations.
Stars: ✭ 14 (-95.17%)
rbcudaCUDA bindings for Ruby
Stars: ✭ 57 (-80.34%)
VibeOfficial implementation of CVPR2020 paper "VIBE: Video Inference for Human Body Pose and Shape Estimation"
Stars: ✭ 2,080 (+617.24%)
Warp RnntCUDA-Warp RNN-Transducer
Stars: ✭ 122 (-57.93%)