hello-it-bit's repositories
-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"
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scutjy2015@163.com 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
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
IshiVision
Computer Vision Based System to read the numbers in an Ishihara Plate test
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
stablediffusion
High-Resolution Image Synthesis with Latent Diffusion Models
Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
Transfer-Learning-Library-for-Object-Detection
Transfer Learning Library for Domain Adaptation and Domain Generalization of Object Detection.