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shinhbw's Projects

a3c icon a3c

Advantage async actor-critic Algorithms (A3C) and Progressive Neural Network implemented by tensorflow.

confusion icon confusion

Code for the ECCV 2018 paper "Pairwise Confusion for Fine-Grained Visual Classification"

convmf icon convmf

Code for our paper Convolutaional Matrix Factorization for Document Context-Aware Recommendation (RecSys 2016)

cutmix icon cutmix

a Ready-to-use PyTorch Extension of Unofficial CutMix Implementations with more improved performance.

deep-learning-in-production icon deep-learning-in-production

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

derainzoo icon derainzoo

DerainZoo for collecting deraining methods, datasets, and codes.

detectron icon detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

itransformer icon itransformer

Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting".

kaggle_dstl_submission icon kaggle_dstl_submission

Code for a winning model (3 out of 419) in a Dstl Satellite Imagery Feature Detection challenge

ltsf-linear icon ltsf-linear

This is the official implementation for AAAI-23 Oral paper "Are Transformers Effective for Time Series Forecasting?"

models icon models

Models and examples built with TensorFlow

pr12 icon pr12

Youtube Deep Learning Presentation

pytorch-a3c icon pytorch-a3c

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

rainbow icon rainbow

Rainbow: Combining Improvements in Deep Reinforcement Learning

resnet-in-tensorflow icon resnet-in-tensorflow

Re-implement Kaiming He's deep residual networks in tensorflow. Can be trained with cifar10.

resnext icon resnext

Implementation of a classification framework from the paper Aggregated Residual Transformations for Deep Neural Networks

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