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medmnist

MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis

moco

Unofficial implementation with pytorch DistributedDataParallel for "MoCo: Momentum Contrast for Unsupervised Visual Representation Learning"

multimodelembedding

Multimodal embedding music for automatic piece recognition spaces. Machine Learning project for ATIAM master's degree at IRCAM.

multitask-learning

Multitask Learning Resources

no-reference-image-quality-assessment

无参考图像质量评估

nodule_object_detection_system

This is a pulmonary nodule detection system based on a deep learning neural network developed using the Flask framework.

pathnet.keras

Implementation of "PathNet: Evolution Channels Gradient Descent in Super Neural Networks" in keras 2.

pathnet_keras

Keras implementation of DeepMinds PathNet structure

pneumonia-detection-from-chest-x-ray-images-with-deep-learning

Detecting Pneumonia in Chest X-ray Images using Convolutional Neural Network and Pretrained Models

pneumonia-diagnosis-using-xrays-96-percent-recall

BEST SCORE ON KAGGLE SO FAR , EVEN BETTER THAN THE KAGGLE TEAM MEMBER WHO DID BEST SO FAR. The project is about diagnosing pneumonia from XRay images of lungs of a person using self laid convolutional neural network and tranfer learning via inceptionV3. The images were of size greater than 1000 pixels per dimension and the total dataset was tagged large and had a space of 1GB+ . My work includes self laid neural network which was repeatedly tuned for one of the best hyperparameters and used variety of utility function of keras like callbacks for learning rate and checkpointing. Could have augmented the image data for even better modelling but was short of RAM on kaggle kernel. Other metrics like precision , recall and f1 score using confusion matrix were taken off special care. The other part included a brief introduction of transfer learning via InceptionV3 and was tuned entirely rather than partially after loading the inceptionv3 weights for the maximum achieved accuracy on kaggle till date. This achieved even a higher precision than before.

pyansys

Pythonic interface to ANSYS result, full, and archive files

python-cookbook

Code samples from the "Python Cookbook, 3rd Edition", published by O'Reilly & Associates, May, 2013.

pythongames

python小游戏/乒乓球游戏/滑雪游戏

pytorch-book

Source codes for the book "Application of Neural Network and PyTorch"

pytorch-deep-dream

Minimal PyTorch implementation of Deep Dream

pytorch-distributed

A quickstart and benchmark for pytorch distributed training.

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

pytorch-lstm-stock-price-predict

LSTM 实现的股票最高价预测

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

pytorch1.0-cn

PyTorch 1.0 官方文档 中文版，欢迎关注微信公众号：磐创AI

ra-tool

An easy tool for medical image segmentation results analysis

registration-as-data-augumentation-for-ct--data

Main idea of this project was making some new data using simple registration technique from existing CT data. This code be a possible alternative of arbitrary augmentation such as flip, rotation, zoom etc.

retinanet-examples

Fast and accurate object detection with end-to-end GPU optimization

rmdl

RMDL: Random Multimodel Deep Learning for Classification

rnn-time-series-anomaly-detection

RNN based Time-series Anomaly detector model implemented in Pytorch.

scda_keras

A keras and tensorflow implementation of the "Selective Convolutional Descriptor Aggregation" algorithm

seizure_prediction

Code for the project: "Seizure prediction using nonnegative matrix factorization"

ssl4mis

Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.

test1

项目描述

test121