g4nym3de

g4nym3de's Stars

• MIT-SPARK/GlobalOptimizationTutorial

  Hands-on Tutorial for Global Optimization in Matlab

  Language:MATLAB10419

• zhreshold/ICCV19-GluonCV

  Tutorial Materials for ICCV19

  Language:Jupyter Notebook27851

• tugstugi/pytorch-saltnet

  Kaggle | 9th place single model solution for TGS Salt Identification Challenge

  Language:Python27852

• CSAILVision/semantic-segmentation-pytorch

  Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

  Language:Python4.9k1.1k

• hendrycks/robustness

  Corruption and Perturbation Robustness (ICLR 2019)

  Language:Python1k145

• sarathknv/adversarial-examples-pytorch

  Implementation of Papers on Adversarial Examples

  Language:Python38578

• zhanghang1989/PyTorch-Encoding

  A CV toolkit for my papers.

  Language:Python2k450

• LiyuanLucasLiu/RAdam

  On the Variance of the Adaptive Learning Rate and Beyond

  Language:Python2.5k333

• junfu1115/DANet

  Dual Attention Network for Scene Segmentation (CVPR2019)

  Language:Python2.4k483

• nianticlabs/monodepth2

  [ICCV 2019] Monocular depth estimation from a single image

  Language:Jupyter Notebook4.1k953

• ialhashim/DenseDepth

  High Quality Monocular Depth Estimation via Transfer Learning

  Language:Jupyter Notebook1.6k354

• amirgholami/anode

  [IJCAI'19, NeurIPS'19] Anode: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs

  Language:Python10320

• ajbrock/BigGAN-PyTorch

  The author's officially unofficial PyTorch BigGAN implementation.

  Language:Python2.9k472

• raghakot/keras-vis

  Neural network visualization toolkit for keras

  Language:Python3k664

• rasbt/deeplearning-models

  A collection of various deep learning architectures, models, and tips

  Language:Jupyter Notebook16.6k4k

• CivilNet/Gemfield

  Gemfield homework or libgemfield.so

  Language:Jupyter Notebook12170

• zedr/clean-code-python

  :bathtub: Clean Code concepts adapted for Python

  Language:Python4.4k773

• mzolfaghari/ECO-efficient-video-understanding

  Code and models of paper " ECO: Efficient Convolutional Network for Online Video Understanding", ECCV 2018

  Language:Jupyter Notebook43696

• zfchenUnique/WSSTG

  This repository contains the main baselines introduced in WSSTG (ACL 2019).

  Language:Python559

• jeffgerickson/algorithms

  Bug-tracking for Jeff's algorithms book, notes, etc.

  7.9k1k

• floodsung/Deep-Learning-Papers-Reading-Roadmap

  Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

  Language:Python38k7.3k

• terryum/awesome-deep-learning-papers

  The most cited deep learning papers

  Language:TeX25.4k4.5k

• implus/SKNet

  Code for our CVPR 2019 paper: Selective Kernel Networks; See zhihu：https://zhuanlan.zhihu.com/p/59690223

  Language:C++589107

• git-tips/tips

  Most commonly used git tips and tricks.

  Language:JavaScript21.3k1.7k

• arslanbilal/git-cheat-sheet

  :octocat: git and git flow cheat sheet

  6.9k1.4k

• viatsko/awesome-vscode

  🎨 A curated list of delightful VS Code packages and resources.

  Language:JavaScript24.9k1.2k

• emacs-tw/awesome-emacs

  A community driven list of useful Emacs packages, libraries and other items.

  8.5k557

• mhinz/vim-galore

  :mortar_board: All things Vim!

  Language:Vim script16.8k604

• rbgirshick/yacs

  YACS -- Yet Another Configuration System

  Language:Python1.3k89

• ducha-aiki/whale-identification-2018

  Solution to Whale Identification Challenge 2018

  Language:Jupyter Notebook5117