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ancde

Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting

annotated_deep_learning_paper_implementations

🧑‍🏫 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, ... 🧠

awesome-cpp

A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.

awesome-neural-ode

A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.

awesome-normalizing-flows

A list of awesome resources on normalizing flows.

awsome-3d-computer-vision-resources

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。

cpp-learning

cv_note

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/

deep-learning-time-series

List of papers, code and experiments using deep learning for time series forecasting

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

free-programming-books

:books: Freely available programming books

gbrt-for-tsf

halcon_licenses

Halcon licenses activation

hit636

Config files for my GitHub profile.

latex_paper_writing_tips

Tips for Writing a Research Paper using LaTeX

multivariate-time-series-data

neural-ode

Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations

neuralpde.jl

Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

neuralsde-marketmodel

Python modules and jupyter notebook examples for the paper Arbitrage-free Neural-SDE Market Models.

pypots_irregular

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

robustness

Corruption and Perturbation Robustness (ICLR 2019)

scienceplots

Matplotlib styles for scientific plotting

score_sde_pytorch

PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

sde-net

Code for paper: SDE-Net: Equipping Deep Neural network with Uncertainty Estimates

stable-neural-sdes

synthetic-data-for-finance

Material for QuantUniversity talk on Sythetic Data Generation for Finance.

time-series-library

A Library for Advanced Deep Time Series Models.

torchsde

Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

torchtime

Benchmark time series data sets for PyTorch

tsfpaper1

This repository contains a reading list of papers on time series forecasting/prediction (TSF). These papers are mainly categorized according to the type of model.