Kejie Jiang's starred repositories

dash

Data Apps & Dashboards for Python. No JavaScript Required.

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plotly.js

Open-source JavaScript charting library behind Plotly and Dash

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plotly.py

The interactive graphing library for Python :sparkles: This project now includes Plotly Express!

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pybind11

Seamless operability between C++11 and Python

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oneflow

OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.

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encodec

State-of-the-art deep learning based audio codec supporting both mono 24 kHz audio and stereo 48 kHz audio.

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theseus

A library for differentiable nonlinear optimization

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infer

Infer.NET is a framework for running Bayesian inference in graphical models

onediff

OneDiff: An out-of-the-box acceleration library for diffusion models.

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tods

TODS: An Automated Time-series Outlier Detection System

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pygod

A Python Library for Graph Outlier Detection (Anomaly Detection)

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awesome-neural-ode

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

pytorch_wavelets

Pytorch implementation of 2D Discrete Wavelet (DWT) and Dual Tree Complex Wavelet Transforms (DTCWT) and a DTCWT based ScatterNet

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Poisson_flow

Code for NeurIPS 2022 Paper, "Poisson Flow Generative Models" (PFGM)

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ADBench

Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.

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boundary-loss

Official code for "Boundary loss for highly unbalanced segmentation", runner-up for best paper award at MIDL 2019. Extended version in MedIA, volume 67, January 2021.

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Semantic-Segmentation-Loss-Functions

This Repository is implementation of majority of Semantic Segmentation Loss Functions

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PyTorch-Wavelet-Toolbox

Differentiable fast wavelet transforms in PyTorch with GPU support.

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torchcubicspline

Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, and backpropagation.

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FEARTracker

Official repo for FEAR: Fast, Efficient, Accurate and Robust Visual Tracker (ECCV 2022)

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OpenSeesPy

OpenSeesPy versions, doc, and pip

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xitorch

Differentiable scientific computing library

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dash-vtk

Bringing vtk.js into Dash and Python

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PyNumDiff

Methods for numerical differentiation of noisy data in python

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opstool

modelling, visualization, post-processing for OpenSeesPy

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stk

The STK is a (not so) Small Toolbox for Kriging. Its primary focus is on the interpolation/regression technique known as kriging, which is very closely related to Splines and Radial Basis Functions, and can be interpreted as a non-parametric Bayesian method using a Gaussian Process (GP) prior.

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VBLab

Official documentation

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sdc-scissor

A tool for predicting unsafe road scenarios for self-driving cars in BeamNG.tech.

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EE-UQ

Earthquake Engineering Application With Uncertainty Quantification

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PBE

SimCenter PBE Application

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