csjtx1021

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Jilin University

China

https://csjtx1021.github.io/

Cui Jiaxu's starred repositories

COVID-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

CLIP

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

Language:Jupyter NotebookMIT23537 316 387

torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

Language:PythonMIT5349 127 214

learning-to-learn

Learning to Learn in TensorFlow

Language:PythonApache-2.04064 200 27

remi

Python REMote Interface library. Platform independent. In about 100 Kbytes, perfect for your diet.

Language:PythonApache-2.03477 122 404

HEBO

Bayesian optimisation & Reinforcement Learning library developped by Huawei Noah's Ark Lab

Language:Jupyter Notebook3080 331 46

pytorch_geometric_temporal

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

Language:PythonMIT2564 40 185

EEG-Datasets

A list of all public EEG-datasets

torchsde

Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

Language:PythonApache-2.01517 34 77

pysindy

A package for the sparse identification of nonlinear dynamical systems from data

Language:PythonNOASSERTION1360 33 341

set_transformer

Pytorch implementation of set transformer

Language:Jupyter NotebookMIT528 12 19

Meta-Learning-Papers

A classified list of meta learning papers based on realm.

logictensornetworks

Deep Learning and Logical Reasoning from Data and Knowledge

Language:Jupyter NotebookMIT258 13 30

Neural-Process-Family

Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.

Language:Jupyter NotebookMIT192 4 10

sympytorch

Turning SymPy expressions into PyTorch modules.

Language:PythonApache-2.0136 11 7

fast-symbolic-regression

Blazing fast symbolic regresison

Language:PythonGPL-3.076 5 4

NeuralProcesses.jl

A framework for composing Neural Processes in Julia

Language:JuliaMIT76 6 2

NeuralSymbolicRegressionThatScales

Source code and Dataset creation for the paper "Neural Symbolic Regression That Scales"

Language:PythonMIT73 2 16

ndp

Official code for the ICLR 2021 paper Neural ODE Processes

Language:PythonMIT71 6 2

MLDemos

Machine Learning Demonstrations: A graphical interface to draw data, apply a diverse array of machine learning tools to it, and directly see the results in a visual and understandable manner.

Language:C++NOASSERTION49 6 2

NIPS2017

Multi-Information Source Optimization

Language:PythonApache-2.022 20

pySRURGS

Symbolic regression by uniform random global search

Language:PythonGPL-3.013 5 21

fastgp

Fast Genetic Programming

Language:PythonMIT11 2 1

BMBO-DARN

Batch Multi-Fidelity Bayesian Optimization with Deep Auto-Regressive Networks

Language:Python11 10

CAGG

Cost-Aware Graph Generation (CAGG), a framework for generating graphs with the optimal properties at as low cost as possible. The work has been accepted by AAAI 2021. (Python3/Pytorch)

Language:PythonMIT800

neural_ode_processes_for_network_dynamics-master

Neural ODE Processes for Network Dynamics (NDP4ND), a new class of stochastic processes governed by stochastic data-adaptive network dynamics, is to overcome the fundamental challenge of learning accurate network dynamics with sparse, irregularly-sampled, partial, and noisy observations.

Language:PythonMIT7 10

dynamic-system

Simulation of systems described by differential equations

Language:HTML4 30

Scalable-and-Parallel-DGBO

This code is implemented according to paper "Scalable and Parallel Deep Bayesian Optimization on Attributed Graphs", accepted by TNNLS. (Python2/TensorFlow)

Language:PythonMIT401

learning_to_learn_without_gd_by_gd

Naive implementation of Learning to Learn without Gradient Descent by Gradient Descent, Yutian Chen et al., ICML 2017

Language:Python300

Transformer-based-Symbolic-Regression

A faster implementation version of the paper "Neural Symbolic Regression that scales"

Language:PythonMIT100