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This repository provides MATLAB code for the lid-driven cavity flow where incompressible Navier Stokes equation is numerically solved using a simple 2nd order finite difference scheme on a staggered grid system.
Implementation of ABCNN(Attention-Based Convolutional Neural Network) on Tensorflow
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Implementations from the free course Deep Reinforcement Learning with Tensorflow
Methods and Implements of Deep Clustering
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
Script (with example) to compute the kinetic energy spectrum of periodic turbulent flows.
Evolutionary Algorithm using Python
Use Fourier transform to learn operators in differential equations.
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
嗨!thesis!哈尔滨工业大学毕业论文LaTeX模板
Code for reproducing experiments in "Improved Training of Wasserstein GANs"
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
Visualizing the the loss landscape of Fully-Connected Neural Networks
OpenFOAM cases from my YouTube channel
OpenFOAM Tutorials!
Implementation of "Overcoming catastrophic forgetting in neural networks" in Tensorflow
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
XeLaTeX 版本的哈工大硕博毕业论文模版(此版本废弃,不再维护,新模板hithesis https://github.com/dustincys/hithesis 括本硕博,对老版本的缺陷进行了彻底的修改)
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 ;)
Probabilistic reasoning and statistical analysis in TensorFlow
Finite volume discretization tools for Python.
PyTorch implementations of Generative Adversarial Networks.
torch-optimizer -- collection of optimizers for Pytorch
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
Riemann Solvers and Numerical Methods for Fluid Dynamics.
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.