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attention

some attention implements

awesome-architecture-search

A curated list of awesome architecture search resources

awesome-rnn

Recurrent Neural Network - A curated list of resources dedicated to RNN

awesome_deep_learning_interpretability

深度学习近年来关于神经网络模型解释性的相关高引用/顶会论文(附带代码)

bhwangfy.github.io

c-2019

captum

Model interpretability and understanding for PyTorch

cat

Code for "Cluster Alignment with a Teacher for Unsupervised Domain Adaptation"

closerlookfewshot

source code to ICLR'19, 'A Closer Look at Few-shot Classification'

cntk

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

conditional_vae

conditional variational autoencoder written in Keras [not actively maintained]

cs20si_try-

debug1

sfas

deep-learning-time-series

List of papers, code and experiments using deep learning for time series forecasting

deeplearning2020

course project of Deep learning 2020 Spring

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.

deeplob-model-implementation-project

This repo contains some codes and outputs of my implementation of DeepLOB model.

deepsaliency

Source Code and Model for DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object Detection

diagncf

dl-4-tsc

Deep Learning for Time Series Classification

dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens and Luca Antiga.

domathid

Simple Readme Template For Github :octocat: 📝

eas

Efficient Architecture Search by Network Transformation

easyquestionnaire-backend

问卷调查平台的后端项目 基于Python的flask框架 :laughing:API文档:https://www.showdoc.cc/EasyQuestionnaire

embedding-propagation

Codebase for Embedding Propagation: Smoother Manifold for Few-Shot Classification

examples

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

examples-1

Example deep learning projects that use wandb's features.

fpovi

Code for "Function Space Particle Optimization for Bayesian Neural Networks"

genetic-cnn

CNN architecture exploration using Genetic Algorithm

google-research

Google Research