DeeperCS

Kather_texture_2016

AI-For-Medicine-Specialization

I have completed this specialization from Coursera by deeplearning.ai. I have uploaded the solutions of the assignments in this repo.

AudioSignalProcessingForML

Code and slides of my YouTube series called "Audio Signal Proessing for Machine Learning"

batchnorm

example of batchnorm

cnn-ga

coco_visualization

Coursera

Quiz & Assignment of Coursera

coursera-deep-learning-specialization

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

cutout_cifar

deepercs.github.io

distillation

ESEI

GpuRamDrive

RamDrive that is backed by GPU Memory

gputeachingkit-labs

GPU Teaching

knowledge-distillation-pytorch

A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility

Mathematics-for-Machine-Learning-and-Data-Science-Specialization

Master the Toolkit of AI and Machine Learning. Mathematics for Machine Learning and Data Science is a beginner-friendly Specialization where you’ll learn the fundamental mathematics toolkit of machine learning: calculus, linear algebra, statistics, and probability.

mini-unconditional-diffusion

MIT-6.S965-TinyML-and-Efficient-Deep-Learning-Computing

ML

machine_learning

mmap_pic

Python Inter-process communication via share memory

MyDataLoader

Neural-Network-Design-Solutions-Manual

📑 Solution manual for the text book Neural Network Design 2nd Edition by Martin T. Hagan, Howard B. Demuth, Mark Hudson Beale, and Orlando De Jesus

NN-CUDA-Example

Several simple examples for popular neural network toolkits calling custom CUDA operators.

pytorch-googlenet-kts

pytorch-segmentation

:art: Semantic segmentation models, datasets and losses implemented in PyTorch.

Pytorch-UNet-1

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

pytorch_classification

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码

Unet-Segmentation-Pytorch-Nest-of-Unets

Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet

UNET-ZOO

including unet,unet++,attention-unet,r2unet,cenet,segnet ,fcn.

vectorizedRTRL

draft