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Name: WhySoSerious
Type: User
Name: WhySoSerious
Type: User
A Compiler Writing Journey
Applied Deep Learning Course
Drawing Bayesian networks, graphical models, tensors, and technical frameworks and illustrations in LaTeX.
Implementation of a reservoir computer with functions to optimize the parameters and calculate the Lyapunov exponents
Brain Dynamics Programming in Python
ClearML - Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management
DAS-PINNs: A deep adaptive sampling method for solving high-dimensional partial differential equations
PaddlePaddle implementation for "DAS-PINNs: A deep adaptive sampling method for solving high-dimensional partial differential equations"
Learning nonlinear operators via DeepONet
DeepONet & FNO (with practical extensions)
A library for scientific machine learning and physics-informed learning
Flax is a neural network library for JAX that is designed for flexibility.
Pytorch implementation of GRU-ODE-Bayes
Hidden physics models: Machine learning of nonlinear partial differential equations
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Material for The Mathematical Engineering of Deep Learning. See https://deeplearningmath.org
๐AIๆๅฃฐ: 5็งๅ ๅ ้ๆจ็ๅฃฐ้ณๅนถ็ๆไปปๆ่ฏญ้ณๅ ๅฎน Clone a voice in 5 seconds to generate arbitrary speech in real-time
Programming Assignments and Lectures for Stanford's CS 224: Natural Language Processing with Deep Learning
Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)
Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)
YSDA course in Natural Language Processing
Nonlinear Dynamics: A concise introduction interlaced with code
This is a vault template for researchers using obsidian.
Code for: "Neural Controlled Differential Equations for Online Prediction Tasks"
Boosting physics solver with neural network / Injecting physical prior into neural networks
Must-read Papers on Physics-Informed Neural Networks.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ 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. ๐๐๐
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 โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.