pqy000

Deeplearning2020

course project of Deep learning 2020 Spring

DiagNCF

plant-recognition

plant-recognition-DL

PMT-IQA

SemiTimeSeries

simanneal

Python module for Simulated Annealing optimization

timetree.github.com

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

captum

Model interpretability and understanding for PyTorch

CloserLookFewShot

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

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.

DomathID

Simple Readme Template For Github :octocat: 📝

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"

google-research

Google Research

GPU20

GrabGPU

Grab GPU whenever available

mean-teacher

A state-of-the-art semi-supervised method for image recognition

MMD_Loss.Pytorch

A pytorch implementation of Maximum Mean Discrepancies(MMD) loss

PlotNeuralNet

Latex code for making neural networks diagrams

pqy000.github.io

Qingyi.github.io

time-series-dataset

PyTorch Dataset object for multivariate time series :wrench:

TransformersCanDoBayesianInference

Official Implementation of "Transformers Can Do Bayesian Inference"

ULSAM

ULSAM: Ultra-Lightweight Subspace Attention Module for Compact Convolutional Neural Networks