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scape1989's Projects

imaginaire icon imaginaire

NVIDIA PyTorch GAN library with distributed and mixed precision support

imdn icon imdn

Lightweight Image Super-Resolution with Information Multi-distillation Network (ACM MM 2019)

imgaug icon imgaug

Image augmentation for machine learning experiments.

ingan icon ingan

Official code for the paper "InGAN: Capturing and Retargeting the DNA of a Natural Image"

injecting_numeracy icon injecting_numeracy

The accompanying code for "Injecting Numerical Reasoning Skills into Language Models" (Mor Geva*, Ankit Gupta* and Jonathan Berant, ACL 2020).

inplace_abn icon inplace_abn

In-Place Activated BatchNorm for Memory-Optimized Training of DNNs

invertible_sr icon invertible_sr

Code for the paper: "Invertible CNN-Based Super Resolution with Downsampling Awareness" by Andrew Geiss and Joseph C. Hardin, Nov 2020

iqan icon iqan

Visaul Question Generation as Dual Task of Visual Question Answering (PyTorch Version)

iresnet icon iresnet

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

jare icon jare

Code for Towards a Better Understanding and Regularization of GAN Training Dynamics

kagnet icon kagnet

Knowledge-Aware Graph Networks for Commonsense Reasoning (EMNLP-IJCNLP 19)

kair icon kair

Image Restoration Toolbox (PyTorch). Training and testing codes for DnCNN, FFDNet, SRMD, DPSR, MSRResNet, ESRGAN, IMDN

kdtf icon kdtf

Knowledge Distillation using Tensorflow

kelda icon kelda

Kelda, formerly Quilt, is an approachable way to deploy to the cloud using Node.js

keras-gan icon keras-gan

Keras implementations of Generative Adversarial Networks.

kernel-prediction-networks-pytorch icon kernel-prediction-networks-pytorch

Reimplement of 'Burst Denoising with Kernel Prediction Networks' and 'Multi-Kernel Prediction Networks for Denoising of Image Burst' by using PyTorch

knover icon knover

Large-scale open domain KNOwledge grounded conVERsation system based on PaddlePaddle

knowledge-graph-tuning icon knowledge-graph-tuning

Scalable hyperparameter tuning in probabilistic knowledge graph embedding models (Bamler, Salehi, and Mandt, UAI 2019)

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