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Name: lee
Type: User
Bio: snbc
Name: lee
Type: User
Bio: snbc
Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.
A curated list of state-of-the-art papers on deep learning for universal representations of time series.
A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.
A list of awesome resources on normalizing flows.
总结3D视觉所涉及到的边边角角知识点,包括VSLAM、点云后处理、相机标定、深度学习等。
记录cv算法工程师的成长之路,分享计算机视觉和模型压缩部署技术栈笔记。https://harleyszhang.github.io/cv_note/
List of papers, code and experiments using deep learning for time series forecasting
This repository contains implementations and illustrative code to accompany DeepMind publications
:books: Freely available programming books
Halcon licenses activation
Config files for my GitHub profile.
Tips for Writing a Research Paper using LaTeX
Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations
Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
Python modules and jupyter notebook examples for the paper Arbitrage-free Neural-SDE Market Models.
A Python toolbox/library for reality-centric machine learning/deep learning on partially-observed time series with PyTorch, including SOTA models supporting tasks of imputation, classification, clustering, and forecasting on incomplete (irregularly-sampled) multivariate time series with missing values/data. https://arxiv.org/abs/2305.18811
Corruption and Perturbation Robustness (ICLR 2019)
Matplotlib styles for scientific plotting
PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
Code for paper: SDE-Net: Equipping Deep Neural network with Uncertainty Estimates
Material for QuantUniversity talk on Sythetic Data Generation for Finance.
A Library for Advanced Deep Time Series Models.
Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
Benchmark time series data sets for PyTorch
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.