skamalas

skamalas's Stars

• HarisIqbal88/PlotNeuralNet

  Latex code for making neural networks diagrams

  Language:TeX22.2k2271222.9k

• eriklindernoren/Keras-GAN

  Keras implementations of Generative Adversarial Networks.

  Language:Python9.2k2752253.1k

• facebookresearch/classifier-balancing

  This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 2020

  Language:Python9452121135

• NVlabs/RADIO

  Official repository for "AM-RADIO: Reduce All Domains Into One"

  Language:Python801243733

• pumpikano/tf-dann

  Domain-Adversarial Neural Network in Tensorflow

  Language:Jupyter Notebook6301629223

• facebookresearch/OctConv

  Code for paper

  Language:Python563361680

• d-li14/octconv.pytorch

  PyTorch implementation of Octave Convolution with pre-trained Oct-ResNet and Oct-MobileNet models

  Language:Python29192242

• cypw/PyTorch-MFNet

  Language:Python252113656

• facebookresearch/GloRe

  Global Reasoning module for visual recognition

  Language:Python20691652

• naver/fire

  Language:Python133968

• naver/tldr

  TLDR is an unsupervised dimensionality reduction method that combines neighborhood embedding learning with the simplicity and effectiveness of recent self-supervised learning losses

  Language:Python124723

• facebookresearch/Large-Scale-VRD

  Visual Relationship Detection

  Language:Python11210525

• naver/unic

  PyTorch code and pretrained weights for the UNIC models.

  Language:Python26501

• naver/cog

  ImageNet-CoG is a benchmark for concept generalization. It provides a full evaluation framework for pre-trained visual representations which measure how well they generalize to unseen concepts.

  Language:Python24401

• naver/trex

  PyTorch implementation of the paper "No reason for no supervision: Improving the generalization of supervised models"

  Language:Python1840

• fzliu/tf-dcgan

  Deep Convolutional Generative Adversarial Networks, with some small improvements.

  Language:Python15114

• baicsworkshop/baicsworkshop.github.io

  Language:HTML3303

• cheeriocheng/googleScholar

  Language:Python1201