TJU Deep Learning & Neural Network

Related tags

Deep LearningDeep_Learning-Neural_Network_Lab
Overview

Deep_Learning & Neural_Network_Lab

实验环境

  • Python 3.9
  • Anaconda3(官网下载或清华镜像都行)
  • PyTorch 1.10.1(安装代码如下)
conda install pytorch torchvision torchaudio cudatoolkit=10.2 -c pytorch

数据集下载

运行方式

  • 启动PyTorch环境
conda activate pytorch
  • 在该环境下运行程序(30-60 minutes per file)
python GAN.py               # 运行GAN.py
python CGAN.py              # 运行CGAN.py
python DCGAN.py             # 运行DCGAN.py
python WGAN.py              # 运行WGAN.py
python Improved_WGAN.py     # 运行Improved_WGAN.py

实验结果

Model epoch 1 5 10 50 100 150 200
GAN d_loss 0.510469 0.342887 0.248609 0.170712 0.120419 0.169989 0.192855
g_loss 0.956933 1.874407 2.537149 3.263798 3.905378 3.570554 3.132934
CGAN d_loss 0.106481 0.135711 0.194618 0.17816 0.124881 0.106104 0.097463
g_loss 0.660399 0.585134 0.415263 0.474954 0.632873 0.689216 0.718078
DCGAN d_loss 0.692203 0.631018 0.588311 0.463967 0.334903 0.242517 0.103577
g_loss 0.694127 0.829934 0.936831 1.402277 2.230488 2.936166 2.757655
WGAN d_loss -0.291029 -0.329138 -0.468464 -0.214993 -0.123098 -0.080621 -0.060724
g_loss -12.6155 -0.209976 -0.662237 -0.456756 -0.427529 -0.388925 -0.197952
Improved_WGAN d_loss -0.246925 -7.846449 -6.713724 -3.10867 -2.067324 -1.634501 -1.393292
g_loss -14.636739 0.762477 1.745449 -2.624076 -2.965248 -2.781996 -2.585317
  • 具体数据详见 data.xls 文件
Owner
St3ve Lee
TJU CIC 混子一枚 摸鱼ing 躺平ing
St3ve Lee
GitHub Repository
Jetson Nano-based smart camera system that measures crowd face mask usage in real-time.

MaskCam MaskCam is a prototype reference design for a Jetson Nano-based smart camera system that measures crowd face mask usage in real-time, with all

BDTI 212 Dec 29, 2022
Code for "Finding Regions of Heterogeneity in Decision-Making via Expected Conditional Covariance" at NeurIPS 2021

Finding Regions of Heterogeneity in Decision-Making via Expected Conditional Covariance Justin Lim, Christina X Ji, Michael Oberst, Saul Blecker, Leor

Sontag Lab 3 Feb 03, 2022
Some bravo or inspiring research works on the topic of curriculum learning.

Towards Scalable Unpaired Virtual Try-On via Patch-Routed Spatially-Adaptive GAN Official code for NeurIPS 2021 paper "Towards Scalable Unpaired Virtu

131 Jan 07, 2023
DrWhy is the collection of tools for eXplainable AI (XAI). It's based on shared principles and simple grammar for exploration, explanation and visualisation of predictive models.

Responsible Machine Learning With Great Power Comes Great Responsibility. Voltaire (well, maybe) How to develop machine learning models in a responsib

Model Oriented 590 Dec 26, 2022
code for ICCV 2021 paper 'Generalized Source-free Domain Adaptation'

G-SFDA Code (based on pytorch 1.3) for our ICCV 2021 paper 'Generalized Source-free Domain Adaptation'. [project] [paper]. Dataset preparing Download

Shiqi Yang 84 Dec 26, 2022
Official pytorch implementation of the IrwGAN for unaligned image-to-image translation

IrwGAN (ICCV2021) Unaligned Image-to-Image Translation by Learning to Reweight [Update] 12/15/2021 All dataset are released, trained models and genera

37 Nov 09, 2022
ivadomed is an integrated framework for medical image analysis with deep learning.

Repository on the collaborative IVADO medical imaging project between the Mila and NeuroPoly labs.

144 Dec 19, 2022
Implementation for On Provable Benefits of Depth in Training Graph Convolutional Networks

Implementation for On Provable Benefits of Depth in Training Graph Convolutional Networks Setup This implementation is based on PyTorch = 1.0.0. Smal

Weilin Cong 8 Oct 28, 2022
Pytorch implementation for "Implicit Semantic Response Alignment for Partial Domain Adaptation"

Implicit-Semantic-Response-Alignment Pytorch implementation for "Implicit Semantic Response Alignment for Partial Domain Adaptation" Prerequisites pyt

4 Dec 19, 2022
CHERRY is a python library for predicting the interactions between viral and prokaryotic genomes

CHERRY is a python library for predicting the interactions between viral and prokaryotic genomes. CHERRY is based on a deep learning model, which consists of a graph convolutional encoder and a link

Kenneth Shang 12 Dec 15, 2022
True Few-Shot Learning with Language Models

This codebase supports using language models (LMs) for true few-shot learning: learning to perform a task using a limited number of examples from a single task distribution.

Ethan Perez 124 Jan 04, 2023
Starter kit for getting started in the Music Demixing Challenge.

Music Demixing Challenge - Starter Kit 👉 Challenge page This repository is the Music Demixing Challenge Submission template and Starter kit! Clone th

AIcrowd 106 Dec 20, 2022
Employs neural networks to classify images into four categories: ship, automobile, dog or frog

Neural Net Image Classifier Employs neural networks to classify images into four categories: ship, automobile, dog or frog Viterbi_1.py uses a classic

Riley Baker 1 Jan 18, 2022
A blender add-on that automatically re-aligns wrong axis objects.

Auto Align A blender add-on that automatically re-aligns wrong axis objects. Usage There are three options available in the 3D Viewport Sidebar It

29 Nov 25, 2022
AniGAN: Style-Guided Generative Adversarial Networks for Unsupervised Anime Face Generation

AniGAN: Style-Guided Generative Adversarial Networks for Unsupervised Anime Face Generation AniGAN: Style-Guided Generative Adversarial Networks for U

Bing Li 81 Dec 14, 2022
Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty

Deep Deterministic Uncertainty This repository contains the code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic

Jishnu Mukhoti 69 Nov 28, 2022
SNIPS: Solving Noisy Inverse Problems Stochastically

SNIPS: Solving Noisy Inverse Problems Stochastically This repo contains the official implementation for the paper SNIPS: Solving Noisy Inverse Problem

Bahjat Kawar 35 Nov 09, 2022
Taming Transformers for High-Resolution Image Synthesis

Taming Transformers for High-Resolution Image Synthesis CVPR 2021 (Oral) Taming Transformers for High-Resolution Image Synthesis Patrick Esser*, Robin

CompVis Heidelberg 3.5k Jan 03, 2023
Multi Task Vision and Language

12-in-1: Multi-Task Vision and Language Representation Learning Please cite the following if you use this code. Code and pre-trained models for 12-in-

Facebook Research 712 Dec 19, 2022
Anagram Generator in Python

Anagrams Generator This is a program for computing multiword anagrams. It makes no effort to come up with sentences that make sense; it only finds ana

Day Fundora 5 Nov 17, 2022