Pine🌲 Aimbot powered by real-time object detection with neural networks, GPU accelerated with Nvidia. Optimized for use with CS:GO.
Stars: ✭ 202 (-11.4%)
FloorA C++ Compute/Graphics Library and Toolchain enabling same-source CUDA/Host/Metal/OpenCL/Vulkan C++ programming and execution.
Stars: ✭ 166 (-27.19%)
NnvmNo description or website provided.
Stars: ✭ 1,639 (+618.86%)
TigreTIGRE: Tomographic Iterative GPU-based Reconstruction Toolbox
Stars: ✭ 215 (-5.7%)
MixbenchA GPU benchmark tool for evaluating GPUs on mixed operational intensity kernels (CUDA, OpenCL, HIP, SYCL)
Stars: ✭ 130 (-42.98%)
SporcoSparse Optimisation Research Code
Stars: ✭ 164 (-28.07%)
Kaldikaldi-asr/kaldi is the official location of the Kaldi project.
Stars: ✭ 11,151 (+4790.79%)
JcudaJCuda - Java bindings for CUDA
Stars: ✭ 165 (-27.63%)
FcisFully Convolutional Instance-aware Semantic Segmentation
Stars: ✭ 1,563 (+585.53%)
Pedestrian alignmentTCSVT2018 Pedestrian Alignment Network for Large-scale Person Re-identification
Stars: ✭ 223 (-2.19%)
OnemkloneAPI Math Kernel Library (oneMKL) Interfaces
Stars: ✭ 122 (-46.49%)
Multi Gpu Programming ModelsExamples demonstrating available options to program multiple GPUs in a single node or a cluster
Stars: ✭ 165 (-27.63%)
Knn cudaFast K-Nearest Neighbor search with GPU
Stars: ✭ 119 (-47.81%)
TimemoryModular C++ Toolkit for Performance Analysis and Logging. Profiling API and Tools for C, C++, CUDA, Fortran, and Python. The C++ template API is essentially a framework to creating tools: it is designed to provide a unifying interface for recording various performance measurements alongside data logging and interfaces to other tools.
Stars: ✭ 192 (-15.79%)
SpocStream Processing with OCaml
Stars: ✭ 115 (-49.56%)
Cx db8a contextual, biasable, word-or-sentence-or-paragraph extractive summarizer powered by the latest in text embeddings (Bert, Universal Sentence Encoder, Flair)
Stars: ✭ 164 (-28.07%)
CltuneCLTune: An automatic OpenCL & CUDA kernel tuner
Stars: ✭ 114 (-50%)
HasteHaste: a fast, simple, and open RNN library
Stars: ✭ 214 (-6.14%)
Tensorflow Object Detection TutorialThe 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 (-50.44%)
ClojurecudaClojure library for CUDA development
Stars: ✭ 158 (-30.7%)
Adacof PytorchOfficial source code for our paper "AdaCoF: Adaptive Collaboration of Flows for Video Frame Interpolation" (CVPR 2020)
Stars: ✭ 110 (-51.75%)
Pytorch Spynet a reimplementation of Optical Flow Estimation using a Spatial Pyramid Network in PyTorch
Stars: ✭ 190 (-16.67%)
CuheCUDA Homomorphic Encryption Library
Stars: ✭ 109 (-52.19%)
HashcatWorld's fastest and most advanced password recovery utility
Stars: ✭ 11,014 (+4730.7%)
Nvidia Modded InfModified nVidia .inf files to run drivers on all video cards, research & telemetry free drivers
Stars: ✭ 227 (-0.44%)
Cumf alsCUDA Matrix Factorization Library with Alternating Least Square (ALS)
Stars: ✭ 154 (-32.46%)
PygraphistryPyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer
Stars: ✭ 1,365 (+498.68%)
Nvidia DockerBuild and run Docker containers leveraging NVIDIA GPUs
Stars: ✭ 13,961 (+6023.25%)
DppDetail-Preserving Pooling in Deep Networks (CVPR 2018)
Stars: ✭ 99 (-56.58%)
CompactcnncascadeA binary library for very fast face detection using compact CNNs.
Stars: ✭ 152 (-33.33%)
SupraSUPRA: Software Defined Ultrasound Processing for Real-Time Applications - An Open Source 2D and 3D Pipeline from Beamforming to B-Mode
Stars: ✭ 96 (-57.89%)
HipHIP: C++ Heterogeneous-Compute Interface for Portability
Stars: ✭ 2,609 (+1044.3%)
Region ConvNot All Pixels Are Equal: Difficulty-Aware Semantic Segmentation via Deep Layer Cascade
Stars: ✭ 95 (-58.33%)
NumerNumeric Erlang - vector and matrix operations with CUDA. Heavily inspired by Pteracuda - https://github.com/kevsmith/pteracuda
Stars: ✭ 91 (-60.09%)
CumlcuML - RAPIDS Machine Learning Library
Stars: ✭ 2,504 (+998.25%)
ElasticfusionReal-time dense visual SLAM system
Stars: ✭ 1,298 (+469.3%)
Cuda CnnCNN accelerated by cuda. Test on mnist and finilly get 99.76%
Stars: ✭ 148 (-35.09%)
AuroraMinimal Deep Learning library is written in Python/Cython/C++ and Numpy/CUDA/cuDNN.
Stars: ✭ 90 (-60.53%)
RelionImage-processing software for cryo-electron microscopy
Stars: ✭ 219 (-3.95%)
HallocA fast and highly scalable GPU dynamic memory allocator
Stars: ✭ 89 (-60.96%)
Optical Flow FilterA real time optical flow algorithm implemented on GPU
Stars: ✭ 146 (-35.96%)
Gmonitorgmonitor is a GPU monitor (Nvidia only at the moment)
Stars: ✭ 169 (-25.88%)
MinhashcudaWeighted MinHash implementation on CUDA (multi-gpu).
Stars: ✭ 88 (-61.4%)
GpurirPython library for Room Impulse Response (RIR) simulation with GPU acceleration
Stars: ✭ 145 (-36.4%)
Python Opencv Cudacustom opencv_contrib module which exposes opencv cuda optical flow methods with python bindings
Stars: ✭ 86 (-62.28%)
Cunn Stars: ✭ 205 (-10.09%)
Hoomd BlueMolecular dynamics and Monte Carlo soft matter simulation on GPUs.
Stars: ✭ 143 (-37.28%)
CupochRobotics with GPU computing
Stars: ✭ 225 (-1.32%)
DeepspeechDeepSpeech neon implementation
Stars: ✭ 223 (-2.19%)
NicehashquickminerSuper simple & easy Windows 10 cryptocurrency miner made by NiceHash.
Stars: ✭ 211 (-7.46%)
OneflowOneFlow is a performance-centered and open-source deep learning framework.
Stars: ✭ 2,868 (+1157.89%)
Cuda programmingCode from the "CUDA Crash Course" YouTube series by CoffeeBeforeArch
Stars: ✭ 169 (-25.88%)
Ctranslate2Fast inference engine for OpenNMT models
Stars: ✭ 140 (-38.6%)