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John Krafcik's Projects

meta-dataset icon meta-dataset

A dataset of datasets for learning to learn from few examples

mmaction2 icon mmaction2

OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

mmtm icon mmtm

Implementation of CVPR 2020 paper "MMTM: Multimodal Transfer Module for CNN Fusion"

models icon models

Models and examples built with TensorFlow

multimodal-deep-learning icon multimodal-deep-learning

This repository contains various models targetting multimodal representation learning, multimodal fusion for downstream tasks such as multimodal sentiment analysis.

muses icon muses

Code for the paper "Multi-shot Temporal Event Localization: a Benchmark", CVPR 2021

ninja icon ninja

a small build system with a focus on speed

non-local-nn-pytorch icon non-local-nn-pytorch

Pyorch implementation of Non-Local Neural Networks (https://arxiv.org/pdf/1711.07971.pdf)

original icon original

😈学习各种语言语法练习阶段的代码库

places365 icon places365

The Places365-CNNs for Scene Classification

pseudo-3d-pytorch icon pseudo-3d-pytorch

pytorch version of pseudo-3d-residual-networks(P-3D), pretrained model is supported

py-faster-rcnn icon py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

pymoo icon pymoo

NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO

python icon python

All Algorithms implemented in Python

pytorch-cifar100 icon pytorch-cifar100

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

pytorch-image-models icon pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

pytorch-studiogan icon pytorch-studiogan

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

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