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2022-spring-internship

Applying hierarchy information to class imbalance problem

2022-summer-internship

Finding a model structure suitable for knowledge distillation using gate.

all-of-statistics

Self-study on Larry Wasserman's "All of Statistics"

awesome-knowledge-distillation

Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。

bert

TensorFlow code and pre-trained models for BERT

company_cluster

company clustering with K-means/GMM and visualization with PCA, t-SNE, using SSAN relation extraction

crd-benchmark-code

[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods

cs492_project

Company clustering using dynamics of stock price

darts

Differentiable architecture search for convolutional and recurrent networks

deep-learning-paper-review-and-practice

꼼꼼한 딥러닝 논문 리뷰와 코드 실습

deeplob-deep-convolutional-neural-networks-for-limit-order-books

This jupyter notebook is used to demonstrate our recent work, "DeepLOB: Deep Convolutional Neural Networks for Limit Order Books", published in IEEE Transactions on Singal Processing. We use FI-2010 dataset and present how model architecture is constructed here. The FI-2010 is publicly avilable and interested readers can check out their paper.

docred

Dataset and codes for ACL 2019 DocRED: A Large-Scale Document-Level Relation Extraction Dataset.

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

focal_loss_pytorch

A PyTorch Implementation of Focal Loss.

freezed

Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs (CVPRW 2020)

gans-in-action

"GAN 인 액션"(한빛미디어, 2020)의 코드 저장소입니다.

infogan

Code for reproducing key results in the paper "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets"

ipad-test

ldam-drw

[NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss

nlp-with-pytorch

<파이토치로 배우는 자연어 처리>(한빛미디어, 2021)의 소스 코드를 위한 저장소입니다.

pintos-kaist

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-cifar

95.47% on CIFAR10 with PyTorch

pytorch_resnet_cifar10

Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.

research

novel deep learning research works with PaddlePaddle

tutorial

vision

Datasets, Transforms and Models specific to Computer Vision

worldmodels

World Models with TensorFlow 2

worldmodelsexperiments

World Models Experiments