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awesome-image-classification

A curated list of deep learning image classification papers and codes

awesome-semi-supervised-learning

😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

cbam-keras

CBAM implementation on Keras

cnn-ensemble-classifier-land-use-classification

Convolutional Neural Network combined with ensemble classifier for land use classification

cs231n_course_homework

cs231n_course_homework code

csdn-code-link

由于CSDN博客里面不能直接上代码链接，涉嫌营销推广，因此建一个github仓库用于整理这些代码链接

cv-estimate-volume

Computer vision project on estimating the volume of an object

ensemble-methods-for-image-classification

In this project, I implemented several ensemble methods (including bagging, AdaBoost, SAMME, stacking, snapshot ensemble) for a normal CNN model and Residual Neural Network.

flops-counter.pytorch

Flops counter for convolutional networks in pytorch framework

hello-world

a excellent begining

keras

Deep Learning for humans

keras-cosine-annealing

Keras implementation of Cosine Annealing Scheduler

keras-shufflenet

ShuffleNet Implementation using Keras Functional Framework 2.0

keras-squeezenet

SqueezeNet implementation with Keras Framework

keras_deeplearning_example

latent_3d_points

Auto-encoding & Generating 3D Point-Clouds.

mixup-generator

An implementation of "mixup: Beyond Empirical Risk Minimization"

mobilesam

This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!

pointsetgeneration

Code for ``A Point Set Generation Network for 3D Object Reconstruction from a Single Image''

pytorch-camp

pytorch-ssim

pytorch structural similarity (SSIM) loss

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

shufflenet-series

single-image-haze-removal-using-dark-channel-prior

srnet-for-siltation-recognition-in-water-conveyance-tunnels

lightweight network