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57 search results found
Stable Baselines3
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7,292
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Morethanfaangm
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4,160
This repository contains opportunities for you to apply to more than 400 product base companies(NOT JUST FAANGM) & good start-ups.
Differentialequations.jl
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2,689
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.
Rl Baselines3 Zoo
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1,640
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
Modelingtoolkit.jl
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1,292
An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations
Awesome Diffusion Models In Medical Imaging
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923
Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)
Scimltutorials.jl
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698
Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
Diffeqpy
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456
Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization
Catalyst.jl
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402
Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.
Stable Baselines3 Contrib
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384
Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code
Scimlsensitivity.jl
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291
A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, adjoint methods, and more for ODEs, SDEs, DDEs, DAEs, etc.
Diffeqbase.jl
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282
The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
Diffeqoperators.jl
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279
Linear operators for discretizations of differential equations and scientific machine learning (SciML)
Scimlbenchmarks.jl
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279
Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R
Diffeqgpu.jl
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261
GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem
Diffeqdocs.jl
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251
Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem
Nycsde
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229
公众号【码农田小齐】的分类合集
Stochasticdiffeq.jl
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229
Solvers for stochastic differential equations which connect with the scientific machine learning (SciML) ecosystem
Vscode Swift Development Environment
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174
New home of Swift Development Environment for VS Code
Diffeqr
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127
Solving differential equations in R using DifferentialEquations.jl and the SciML Scientific Machine Learning ecosystem
Jumpprocesses.jl
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127
Build and simulate jump equations like Gillespie simulations and jump diffusions with constant and state-dependent rates and mix with differential equations and scientific machine learning (SciML)
Diffeqbayes.jl
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119
Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform Bayesian probabilistic scientific machine learning
Scimlbase.jl
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111
The Base interface of the SciML ecosystem
Modelingtoolkitstandardlibrary.jl
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89
A standard library of components to model the world and beyond
Pydaddy
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82
Python package to discover stochastic differential equations from time series data
Bridge.jl
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77
A statistical toolbox for diffusion processes and stochastic differential equations. Named after the Brownian Bridge.
Diffeqcallbacks.jl
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77
A library of useful callbacks for hybrid scientific machine learning (SciML) with augmented differential equation solvers
Multiscalearrays.jl
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69
A framework for developing multi-scale arrays for use in scientific machine learning (SciML) simulations
Design Patterns And Principles
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62
A collection of a number of design patterns and principles written in Kotlin
Diffeqnoiseprocess.jl
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61
A library of noise processes for stochastic systems like stochastic differential equations (SDEs) and other systems that are present in scientific machine learning (SciML)
Diffeqparamestim.jl
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60
Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions
Numerical Methods Fortran
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54
Solving linear, nonlinear equations, ordinary differential equations, ... using numerical methods in fortran
Sdetools
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53
Matlab Toolbox for the Numerical Solution of Stochastic Differential Equations
Diffeqproblemlibrary.jl
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51
A library of premade problems for examples and testing differential equation solvers and other SciML scientific machine learning tools
Symphonymediabridge
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48
The Symphony Media Bridge (SMB) is a media server application that handles audio, video and screen sharing media streams in an RTC conference system.
Sciml.ai
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48
The SciML Scientific Machine Learning Software Organization Website
Diffeqdevtools.jl
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46
Benchmarking, testing, and development tools for differential equations and scientific machine learning (SciML)
Simple Data Explorer
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42
Simple Data Explorer
Scimlworkshop.jl
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34
Workshop materials for training in scientific computing and scientific machine learning
Technical Subjects
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31
The Repository Contains All the Technical Stuff's Related To SDE
Pymle
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29
Maximum Likelihood estimation and Simulation for Stochastic Differential Equations (Diffusions)
Registrant
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28
Python package used for generating HTML reports about the contents of Esri geodatabases.
Steadystatediffeq.jl
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25
Solvers for steady states in scientific machine learning (SciML)
Diffeqfinancial.jl
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23
Differential equation problem specifications and scientific machine learning for common financial models
Intel Sde Flops
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22
Computing FLOPs with Intel Software Development Emulator (Intel SDE)
Odes_for_sdes
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17
Deterministic particle dynamics for simulating Fokker-Planck probability flows
Moleculesde
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15
A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining, ICML'23
Jdmbs
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13
Jdmbs: An R Package for Monte Carlo Option Pricing Algorithm for Jump Diffusion Models with Correlational Companies
Pinplay Tools
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13
A collection of C/C++ programs and Python scripts to be used in conjunction with Intel Software Development Emulator (Intel SDE, available externally separately). The purpose is to use record/replay functionality in SDE for program analysis.
Mfm Dev
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10
MFM community development code
Manifold Mcmc For Diffusions
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10
Code accompanying the paper 'Manifold MCMC methods for Bayesian inference in a wide class of diffusion models'
Sde
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10
Numerical experiments with stochastic differential equations in Haskell
Deterministicparticleflowcontrol
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8
Repository for Deterministic Particle Flow Control framework
Shctools
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8
Matlab Toolbox for Simulation, Analysis, and Design of Stable Heteroclinic Channel Networks
Consent Api
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7
Service for sharing user consent to cookies across multiple domains
Flint
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6
A simulator for biological and physiological models
Bridgediffeq.jl
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5
A thin wrapper over Bridge.jl for the SciML scientific machine learning common interface, enabling new methods for neural stochastic differential equations (neural SDEs)
1-57 of 57 search results
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