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A curated list of awesome anomaly detection resources
A curated list of deep learning image classification papers and codes
:metal: awesome-semantic-segmentation
An example project of how to use a U-Net for segmentation on medical images with PyTorch.
搜集、整理、发布 中文 自然语言处理 语料/数据集,与 有志之士 共同 促进 中文 自然语言处理 的 发展。
Draw multi-layer neural network in your browser
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
Image restoration with neural networks but without learning.
《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Seq2Seq, Bert, Transformer, WaveNet for time series prediction.
Differential gene expression analysis based on the negative binomial distribution
the examples of using Dlib
Faster-RCNN in Tensorflow
bulid a simple faster rcnn model for VOC2007 base on Keras
Code for CVPR'19 paper Linkage-based Face Clustering via GCN
Repository for the paper: Explainable Machine Learning Model for Predicting GI Bleed Mortality in the Intensive Care Unit
I use various EDA (Exploratory Data Analysis) methods such as violin plots, PDFs, CDFs, scatter plots, boxplots, etc. to gather useful insights and correlation between various attributes to predict whether a person is likely to survive from cancer diagnoses or not.
Classifying from a dataset in Python
Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.
LeNet, AleNet, VGGNet, GoogleNet, ResNet are used for MNIST dataset based on keras.
Keras Temporal Convolutional Network.
Minimal, clean example of lstm neural network training in python, for learning purposes.
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
Malaria Detection using Deep Learning from Images made available publicly from NIH
Multivariate Adaptive Regression Splines for Time Series Prediction
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.