atlury

atlury's Stars

• stascorp/rdpwrap

  RDP Wrapper Library

  Language:Pascal14.2k4952.6k3.8k

• qqwweee/keras-yolo3

  A Keras implementation of YOLOv3 (Tensorflow backend)

  Language:Python7.1k1987113.4k

• nlintz/TensorFlow-Tutorials

  Simple tutorials using Google's TensorFlow Framework

  Language:Jupyter Notebook6k355371.5k

• humphd/have-fun-with-machine-learning

  An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks

  Language:Python5.1k19121541

• NVIDIA-AI-IOT/torch2trt

  An easy to use PyTorch to TensorRT converter

  Language:Python4.5k74716668

• DualCoder/vgpu_unlock

  Unlock vGPU functionality for consumer grade GPUs.

  Language:C4.4k102108422

• experiencor/keras-yolo2

  Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).

  Language:Jupyter Notebook1.7k67437787

• digint/btrbk

  Tool for creating snapshots and remote backups of btrfs subvolumes

  Language:Perl1.6k35515116

• martin-gorner/tensorflow-mnist-tutorial

  Sample code for "Tensorflow and deep learning, without a PhD" presentation and code lab.

  1.4k14050667

• salesforce/pytorch-qrnn

  PyTorch implementation of the Quasi-Recurrent Neural Network - up to 16 times faster than NVIDIA's cuDNN LSTM

  Language:Python1.3k5220193

• s-macke/SAM

  Software Automatic Mouth - Tiny Speech Synthesizer

  Language:C1.2k6722263

• systemd/mkosi

  💽 Build Bespoke OS Images

  Language:Python1.1k39623294

• off99555/machine-learning-curriculum

  :computer: Learn to make machines learn so that you don't have to struggle to program them; The ultimate list

  1.1k747251

• Tomas-M/linux-live

  Linux Live Kit

  Language:Shell98986231246

• allenai/mmc4

  MultimodalC4 is a multimodal extension of c4 that interleaves millions of images with text.

  Language:Python88191733

• intel/libxcam

  libXCam is a project for extended camera(not limited in camera) features and focus on image quality improvement and video analysis. There are lots features supported in image pre-processing, image post-processing and smart analysis. This library makes GPU/CPU/ISP working together to improve image quality. OpenCL is used to improve performance in different platforms.

  Language:C++5828593227

• mbilker/vgpu_unlock-rs

  Unlock vGPU functionality for consumer grade GPUs

  Language:Rust40182246

• KrutavShah/vGPU_LicenseBypass

  A simple script that works around Nvidia vGPU licensing with a scheduled task.

  Language:PowerShell2238340

• gilbertchen/benchmarking

  A performance comparison of Duplicacy, restic, Attic, and duplicity

  Language:Shell204121112

• wso2/WSO2-Training

  144487101

• davidrmiller/neural2d

  Neural net optimized for 2D image data

  Language:C++142243369

• erezposner/Fast_Dense_Feature_Extraction

  A Pytorch and TF implementation of the paper "Fast Dense Feature Extraction with CNNs with Pooling Layers"

  Language:Python865813

• firasuke/mussel

  The shortest and fastest script to build working cross compilers targeting musl libc

  Language:Shell8661213

• kekeblom/DeepCGP

  Deep convolutional gaussian processes.

  Language:Jupyter Notebook779418

• Addono/HathiTrust-downloader

  Small and simple command line tool to automate downloading pages from HathiTrust

  Language:Python32375

• ahmedfgad/FeatureReductionGenetic

  Feature reduction using genetic algorithm

  Language:Python257213

• kYroL01/ConvNet

  A convolutional neural network for images recognition

  Language:Python24629

• ranjithum/automate-lfs-build

  set of script which can be used to automate lfs build

  Language:Shell10106

• coreylammie/Accelerating-Stochastically-Binarized-Neural-Networks-on-FPGAs-using-OpenCL

  2019 IEEE International Midwest Symposium on Circuits and Systems: Accelerating Stochastically Binarized Neural Networks on FPGAs using OpenCL

  Language:Python51

• naibaf7/opencl_caffe_examples

  Some easy OpenCL Caffe examples for starters

  Language:Python3302