artonson

artonson's Stars

• ibraheemdev/modern-unix

  A collection of modern/faster/saner alternatives to common unix commands.

  30.8k39281781

• mathiasbynens/dotfiles

  :wrench: .files, including ~/.macos — sensible hacker defaults for macOS

  Language:Shell30.2k6753928.7k

• google-research/tuning_playbook

  A playbook for systematically maximizing the performance of deep learning models.

  26.8k287412.2k

• jbhuang0604/awesome-computer-vision

  A curated list of awesome computer vision resources

  20.9k1.2k254.2k

• alexjc/neural-enhance

  Super Resolution for images using deep learning.

  Language:Python11.9k39801.4k

• alexjc/neural-doodle

  Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait... there's more! (An implementation of Semantic Style Transfer.)

  Language:Python9.9k3180908

• tensorpack/tensorpack

  A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

  Language:Python6.3k1961.4k1.8k

• synercys/annotated_latex_equations

  Examples of how to create colorful, annotated equations in Latex using Tikz.

  Language:TeX3.7k383217

• chiphuyen/ml-interviews-book

  https://huyenchip.com/ml-interviews-book/

  Language:HTML3.4k4614519

• DLR-RM/BlenderProc

  A procedural Blender pipeline for photorealistic training image generation

  Language:Python2.8k45842448

• jolibrain/deepdetect

  Deep Learning API and Server in C++14 support for Caffe, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

  Language:C++2.5k132426561

• ru-de/faq

  Полезная информация о жизни в Германии

  Language:Shell2.2k17569386

• Maratyszcza/NNPACK

  Acceleration package for neural networks on multi-core CPUs

  Language:C1.7k101196316

• dropbox/dbxcli

  A command line client for Dropbox built using the Go SDK

  Language:Go1.1k39139100

• balzer82/Kalman

  Some Python Implementations of the Kalman Filter

  Language:Jupyter Notebook1k4622367

• YixuanLi/densenet-tensorflow

  DenseNet Implementation in Tensorflow

  Language:Python5722317195

• yunxiaoshi/Neural-IMage-Assessment

  A PyTorch Implementation of Neural IMage Assessment

  Language:Python52653895

• yueatsprograms/Stochastic_Depth

  Deep Networks with Stochastic Depth

  Language:Lua47626377

• ErlerPhilipp/points2surf

  Learning Implicit Surfaces from Point Clouds (ECCV 2020)

  Language:Python458123548

• iml-wg/HEP-ML-Resources

  Listing of useful learning resources for machine learning applications in high energy physics (HEPML)

  Language:TeX3314816115

• markovmodel/PyEMMA

  🚂 Python API for Emma's Markov Model Algorithms 🚂

  Language:Python30831892118

• DFKI-NI/rospy_message_converter

  Converts between Python dictionaries and JSON to ROS messages.

  Language:Python221832101

• wildmeshing/wildmeshing-toolkit

  Toolkit for Meshing in the Wild

  Language:C++1071020116

• ledovsky/latex-gost-template

  Шаблон для создания документов latex по ГОСТ: отчетов о НИР, курсовыx, рефератов, дипломов и др.

  Language:TeX989136

• Vahe1994/Deep-Vectorization-of-Technical-Drawings

  Official Pytorch repository for Deep Vectorization of Technical Drawings https://arxiv.org/abs/2003.05471

  Language:Python98101316

• yinyunie/depth_renderer

  Rendering color and depth images for ShapeNet models.

  Language:Python863920

• yandexdataschool/mlhep2016

  Machine Learning in High Energy Physics 2016

  Language:Jupyter Notebook7524067

• sglvladi/Sphinx-RTD-Tutorial

  A tutorial on how to use Sphinx

  3725107

• knkeer/random-processes-lectures

  Конспекты лекций по курсу "Статистика случайных процессов".

  Language:TeX3201

• kongaskristjan/Graph-Executor

  Language:C++2201