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100 days of algorithms
A dataset of images for artificial intelligence models to recognize human actions.
Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome
Bayesian Additive Regression Trees For Python
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
:art: Deep Fusion Network for Image Completion - ACMMM 2019
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
Multivariate imputation and matrix completion algorithms implemented in Python
GemPy is an open-source, Python-based 3-D structural geological modeling software, which allows the implicit (i.e. automatic) creation of complex geological models from interface and orientation data. It also offers support for stochastic modeling to address parameter and model uncertainties.
A Jupyter notebook extension for geospatial visualization and analysis
A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)
Gaussian Process Regression Techniques - The source code corresponding to the Ph.D. thesis.
code for "IFCNN: A General Image Fusion Framework Based on Convolutional Neural Network"
Infrared and visible image fusion using deep learning framework (Pytorch)
A file dump of the assignments for Intro to Mathematical Thinking on Coursera. There are no solutions, just the assignments/readings.
A Sensor Fusion Algorithm that can predict a State Estimate and Update if it is uncertain
📐A collection of line segments detection algorithms.
A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)
Accelerated algorithms for Multichannel Analysis of Surface Waves (MASW) using MPI and CUDA
Missing data visualization module for Python.
IPython notebooks with supplementary material to accompany the textbook by Trefethen & Bau.
An extension of Open3D to address 3D Machine Learning tasks
PaddlePaddle GAN library, including lots of interesting applications like DeepFake First-Order motion transfer, Mai-ha-hi(蚂蚁呀嘿), faceswap wav2lip, picture repair, image editing, photo2cartoon, image style transfer, and so on.
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Application software in Python 3 to evaluate the factor of safety against sliding of slopes made of Blocks-In-Matrix materials.
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.