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Name: Mingyuan Bai
Type: User
Bio: A postdoctoral researcher at RIKEN AIP in Japan
Name: Mingyuan Bai
Type: User
Bio: A postdoctoral researcher at RIKEN AIP in Japan
Here we select 15 indicators from WHO and the World Bank on female welfare.
Welcome to the Awesome Feature Learning in Deep Learning Thoery Reading Group! This repository serves as a collaborative platform for scholars, enthusiasts, and anyone interested in delving into the fascinating world of feature learning within deep learning theory.
A curated list of awesome Machine Learning frameworks, libraries and software.
For postdoctoral researchers, PhD students and master by research students, it is a place of free for you to find a roadmap on how to happily survive PhD and the job market! Contributions are welcomed!
A collection of resources regarding the interplay between differential equations, dynamical systems, deep learning, control and optimization.
a simple unofficial implementation of classifier-free diffusion guidance
Implementation of Classifier Free Guidance in Pytorch, with emphasis on text conditioning, and flexibility to include multiple text embedding models
Personal webpage
Denoising Diffusion Implicit Models: functions/ckpt_util.py provides the checkpoints for U-Nets as diffusion model backbones
Implementation of 1D, 2D, and 3D FFT convolutions in PyTorch. Much faster than direct convolutions for large kernel sizes.
Library to implement graph neural networks in PyTorch
Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
A signature transform for lightweight image recognition
repository with the lectures for MLSS Skoltech
Legendre decomposition for tensors
The country list is for the ICEWS dataset applied. The company list is for the corporate relation trend dataset from Yahoo Finance stock market prices.
This is the program for the paper "LSTM-Assisted Evolutionary Self-Expressive Subspace Clustering"
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(1000+页)和视频链接
Stable Diffusion with Core ML on Apple Silicon
Machine Learning Workshop
Python toolbox for optimization on Riemannian manifolds with support for automatic differentiation
pymanopt forked from https://github.com/leonbottou pymanopt/pymanopt
Geometric Deep Learning Extension Library for PyTorch
Code accompanying the paper "Non-adversarial training of Neural SDEs with signature kernel scores".
Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"
Statistical Learning and Data Mining (QBUS6810) at the University of Sydney Business School.
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.