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-cv-

2022年12月第一名方案

-dataaug-and-netregularization

pytorch implements data enhancement and network regularization methods: cutmix, cutout, shakedrop, mixup, Label smoothing

ai-for-beginners

12 Weeks, 24 Lessons, AI for All!

attention-mechanism-implementation

Self-attention、Non-local、SE、SK、CBAM、DANet

attention-module

深度学习 注意力机制模块 时间 空间注意力通道

auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

circularrr_aops

The code for the work presented in the research paper titled "A-deep-learning-method-for-empirical-spectral-prediction-and-inverse-design-of-all-optical-nonlinear-plasmonic-ring-resonator-switches"

codingsolution

The coding solutions of Leetcode and 剑指Offer using Python and Java.

cvplayer

【飞桨学习赛：基于文心CV大模型的智慧城市视觉多任务识别】第一名方案

datacentersiteselection

A Mixed Integer Optimization using GurobiPy to minimize the cost of a data center site selection with a diverse set of constraints. McGill

deeplearning

深度学习入门教程, 优秀文章, Deep Learning Tutorial

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeplearning-modules-toolbox

🔧 炼丹炉，一堆即插即用的模块，用于深度学习

deepnanodesign

deforum-stable-diffusion

denoisingdiffusionprobabilitymodel-ddpm-

This may be the simplest implement of DDPM. You can directly run Main.py to train the UNet on CIFAR-10 dataset and see the amazing process of denoising.

energy-aware-compute-strategy

The growth of data volume and the popularity of mobile devices have spawned a large number of low-latency, high-computing applications. At the same time, under the wave of global new energy, the energy efficiency utilization of electronic equipment has also received more and more attention. Due to a large delay and occupying the large bandwidth of

evchargingstationmodel

Optimisation model for determining optimal location of electric vehicle charging stations as to maximise electric vehicle adoption

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

iic

Invariant Information Clustering for Unsupervised Image Classification and Segmentation

ishihara_generator

ishivision

Computer Vision Based System to read the numbers in an Ishihara Plate test

microgrid-

Optimization of Microgrid (Multi-Objective Optimization)

minimize-energy-consumption-with-deep-learning-model

Use Deep Q-Learning model to optimize energy consumption of a data center

multi_objective_optimization

Multi-objective optimization of operation planning of disitrict energy systems to minimize operating cost and emissions under uncertainties.

musk-model

Finding the optimal location for public charging stations – a GIS based MILP approach

optimal_ev_chargers_project

Predicting Electric Vehicle Charging Station Locations in the US

plug-and-play

深度学习中各种即插即用小模块

pytorch_tutorial

《Pytorch模型训练实用教程》中配套代码