Source for the user website.
maldil Goto Github PK
Name: Malinda
Type: User
Name: Malinda
Type: User
Source for the user website.
A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.
AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Image steganalysis using state-of-the-art machine learning techniques
Benchmarks of approximate nearest neighbor libraries in Python
An analysis and visualization platform for 'omics data
Example library for tutorial on publishing to Maven Central with OSSRH
Machine learning, statistics, and data mining for astronomy and astrophysics
[UNMAINTAINED] Automated machine learning for analytics & production
A curated list of articles that cover the software engineering best practices for building machine learning applications.
Library of contextual bandits algorithms
Sequential regulatory activity predictions with deep convolutional neural networks.
Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.
BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and machine learning workflows even for datasets that do not fit into memory.
TorchBench is a collection of open source benchmarks used to evaluate PyTorch performance.
Simulation of spiking neural networks (SNNs) using PyTorch.
A comprehensive library for computational molecular biology
Bayesian nonparametric machine learning for Python
Interactive Data Visualization in the browser, from Python
Highlevel framework for starting Deep Learning projects (lightweight, flexible, easy to extend)
Brain Imaging Analysis Kit
Platform for Machine Learning projects on Software Engineering
An open-source application for biological image analysis
10x Genomics Single Cell 3' Gene Expression and VDJ Assembly
Machine Learning Time-Series Platform
Chaospy - Toolbox for performing uncertainty quantification.
ChemML is a machine learning and informatics program suite for the chemical and materials sciences.
TensorFlow implementation of CipherGAN
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.