DaceDaCe - Data Centric Parallel Programming
Stars: ✭ 106 (-95.77%)
ProphecisProphecis is a one-stop cloud native machine learning platform.
Stars: ✭ 156 (-93.77%)
TomaHelps you write algorithms in PyTorch that adapt to the available (CUDA) memory
Stars: ✭ 139 (-94.45%)
Modulated Deform Convdeformable convolution 2D 3D DeformableConvolution DeformConv Modulated Pytorch CUDA
Stars: ✭ 81 (-96.77%)
FcisFully Convolutional Instance-aware Semantic Segmentation
Stars: ✭ 1,563 (-37.58%)
Nnabla Ext CudaA CUDA Extension of Neural Network Libraries
Stars: ✭ 79 (-96.85%)
GinkgoNumerical linear algebra software package
Stars: ✭ 149 (-94.05%)
Finitediff.jlFast non-allocating calculations of gradients, Jacobians, and Hessians with sparsity support
Stars: ✭ 123 (-95.09%)
Cuda WinogradFast CUDA Kernels for ResNet Inference.
Stars: ✭ 104 (-95.85%)
Hyperlearn50% 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 (-51.92%)
Microsoft Rocket Video Analytics PlatformA highly extensible software stack to empower everyone to build practical real-world live video analytics applications for object detection and counting with cutting edge machine learning algorithms.
Stars: ✭ 162 (-93.53%)
Tensorflow Gpu MacosxUnoffcial NVIDIA CUDA GPU support version of Google Tensorflow for MAC OSX
Stars: ✭ 103 (-95.89%)
Warp RnntCUDA-Warp RNN-Transducer
Stars: ✭ 122 (-95.13%)
Cuda CnnCNN accelerated by cuda. Test on mnist and finilly get 99.76%
Stars: ✭ 148 (-94.09%)
Deko3dHomebrew low level graphics API for Nintendo Switch (Nvidia Tegra X1)
Stars: ✭ 103 (-95.89%)
BabelstreamSTREAM, for lots of devices written in many programming models
Stars: ✭ 121 (-95.17%)
MlalgorithmsMinimal and clean examples of machine learning algorithms implementations
Stars: ✭ 8,733 (+248.76%)
DragonDragon: A Computation Graph Virtual Machine Based Deep Learning Framework.
Stars: ✭ 168 (-93.29%)
NetworkmlMachine learning plugins for network traffic
Stars: ✭ 73 (-97.08%)
Hiveos LinuxHive OS client for GPU rigs
Stars: ✭ 119 (-95.25%)
Floyd CliCommand line tool for FloydHub - the fastest way to build, train, and deploy deep learning models
Stars: ✭ 147 (-94.13%)
F LmLanguage Modeling
Stars: ✭ 156 (-93.77%)
NsimdAgenium Scale vectorization library for CPUs and GPUs
Stars: ✭ 138 (-94.49%)
RootonnvmeSwitch the rootfs to a NVMe SSD on the Jetson Xavier NX and Jetson AGX Xavier
Stars: ✭ 103 (-95.89%)
Mate OptimusNVIDIA Optimus GPU switcher
Stars: ✭ 70 (-97.2%)
PixelfarmFrom Vectors to (sub) Pixels, C# 2D Rendering Library
Stars: ✭ 120 (-95.21%)
DeepjointfilterThe source code of ECCV16 'Deep Joint Image Filtering'.
Stars: ✭ 68 (-97.28%)
Pyhpc BenchmarksA suite of benchmarks to test the sequential CPU and GPU performance of most popular high-performance libraries for Python.
Stars: ✭ 119 (-95.25%)
ModalA modular active learning framework for Python
Stars: ✭ 1,148 (-54.15%)
M2cgenTransform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
Stars: ✭ 1,962 (-21.65%)
Torch samplingEfficient reservoir sampling implementation for PyTorch
Stars: ✭ 68 (-97.28%)
ImpalaAn imperative and functional programming language
Stars: ✭ 118 (-95.29%)
Deeplearning4jSuite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learni…
Stars: ✭ 12,277 (+390.3%)
NxMulti-dimensional arrays (tensors) and numerical definitions for Elixir
Stars: ✭ 1,133 (-54.75%)
Knn cudaFast K-Nearest Neighbor search with GPU
Stars: ✭ 119 (-95.25%)
Autodock GpuAutoDock for GPUs and other accelerators
Stars: ✭ 65 (-97.4%)
FsynthWeb-based and pixels-based collaborative synthesizer
Stars: ✭ 146 (-94.17%)
Ml LibAn extensive machine learning library, made from scratch (Python).
Stars: ✭ 102 (-95.93%)
Machine learning lecturesCollection of lectures and lab lectures on machine learning and deep learning. Lab practices in Python and TensorFlow.
Stars: ✭ 118 (-95.29%)
Nano Neuron🤖 NanoNeuron is 7 simple JavaScript functions that will give you a feeling of how machines can actually "learn"
Stars: ✭ 2,050 (-18.13%)
KelpnetPure C# machine learning framework
Stars: ✭ 136 (-94.57%)
Mpn Cov@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.
Stars: ✭ 63 (-97.48%)
Tensorflow Optimized WheelsTensorFlow wheels built for latest CUDA/CuDNN and enabled performance flags: SSE, AVX, FMA; XLA
Stars: ✭ 118 (-95.29%)
ThemlbookThe Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.
Stars: ✭ 1,375 (-45.09%)
PaiResource scheduling and cluster management for AI
Stars: ✭ 2,223 (-11.22%)
Seal CiA PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
Stars: ✭ 172 (-93.13%)
Moonlight QtGameStream client for PCs (Windows, Mac, Linux, and Steam Link)
Stars: ✭ 2,796 (+11.66%)
GroupimgA script in python to organize your images by similarity.
Stars: ✭ 167 (-93.33%)
Texture CompressorCLI tool for texture compression using ASTC, ETC, PVRTC and S3TC in a KTX container.
Stars: ✭ 156 (-93.77%)
VlrGPU Monte Carlo Ray Tracing Renderer using NVIDIA OptiX
Stars: ✭ 137 (-94.53%)
Pytorch gbw lmPyTorch Language Model for 1-Billion Word (LM1B / GBW) Dataset
Stars: ✭ 101 (-95.97%)
Marian DevFast Neural Machine Translation in C++ - development repository
Stars: ✭ 136 (-94.57%)
Neural Style DockerA dockerized version of neural style transfer algorithms
Stars: ✭ 100 (-96.01%)