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PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Created
2020-05-05
865 commits to master branch, last one 2 days ago
This repository contains opportunities for you to apply to more than 400 product base companies(NOT JUST FAANGM) & good start-ups.
Created
2021-09-18
458 commits to main branch, last one about a month ago
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equation...
r
dae
dde
ode
sde
spde
julia
sciml
python
numerical
scientific
dynamical-systems
stochastic-processes
differentialequations
differential-equations
scientific-machine-learning
delay-differential-equations
neural-differential-equations
differential-algebraic-equations
stochastic-differential-equations
Created
2016-05-11
1,400 commits to master branch, last one 15 days ago
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
Created
2020-05-05
383 commits to master branch, last one 2 days ago
Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)
Created
2022-09-24
240 commits to main branch, last one about a month ago
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 ...
dae
dde
ode
pde
sde
julia
sciml
acausal
symbolic
optimization
equation-based
computer-algebra
symbolic-numerics
symbolic-computation
nonlinear-programming
differential-equations
scientific-machine-learning
delay-differential-equations
ordinary-differential-equations
stochastic-differential-equations
Created
2018-02-27
6,565 commits to master branch, last one 17 hours ago
Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
Created
2016-10-31
1,297 commits to master branch, last one about a year ago
Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization
Created
2018-04-21
212 commits to master branch, last one 18 hours ago
Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code
Created
2020-09-20
153 commits to master branch, last one 2 days ago
Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.
Created
2017-02-06
4,676 commits to master branch, last one 2 days ago
公众号【码农田小齐】的分类合集
Created
2020-09-09
64 commits to master branch, last one 3 years ago
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, S...
Created
2016-11-02
3,446 commits to master branch, last one 2 days ago
Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R
Created
2016-10-31
3,084 commits to master branch, last one 20 hours ago
The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
dae
dde
ode
pde
sde
sciml
neural-ode
hacktoberfest
differentialequations
differential-equations
scientific-machine-learning
delay-differential-equations
neural-differential-equations
partial-differential-equations
ordinary-differential-equations
differential-algebraic-equations
stochastic-differential-equations
Created
2016-10-20
3,466 commits to master branch, last one 3 days ago
GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem
Created
2019-06-24
907 commits to master branch, last one 5 months ago
Linear operators for discretizations of differential equations and scientific machine learning (SciML)
This repository has been archived
(exclude archived)
Created
2017-05-16
1,482 commits to master branch, last one about a year ago
Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem
Created
2016-11-01
2,414 commits to master branch, last one 11 days ago
Solvers for stochastic differential equations which connect with the scientific machine learning (SciML) ecosystem
Created
2016-10-22
2,334 commits to master branch, last one 2 days ago
New home of Swift Development Environment for VS Code
This repository has been archived
(exclude archived)
Created
2017-10-16
231 commits to master branch, last one about a year ago
The Base interface of the SciML ecosystem
Created
2021-01-26
2,616 commits to master branch, last one 20 hours ago
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)
Created
2017-02-04
1,556 commits to master branch, last one 3 days ago
Solving differential equations in R using DifferentialEquations.jl and the SciML Scientific Machine Learning ecosystem
Created
2018-04-19
169 commits to master branch, last one 8 months ago
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
Created
2017-07-24
800 commits to master branch, last one 21 days ago
A standard library of components to model the world and beyond
Created
2021-11-02
952 commits to main branch, last one 3 days ago
A collection of a number of design patterns and principles written in Kotlin
Created
2020-08-25
90 commits to master branch, last one 3 years ago
A statistical toolbox for diffusion processes and stochastic differential equations. Named after the Brownian Bridge.
Created
2015-09-15
549 commits to master branch, last one 3 years ago
Solving linear, nonlinear equations, ordinary differential equations, ... using numerical methods in fortran
Created
2017-01-19
93 commits to master branch, last one 3 years ago
A library of useful callbacks for hybrid scientific machine learning (SciML) with augmented differential equation solvers
Created
2017-01-06
647 commits to master branch, last one 16 hours ago
Python package to discover stochastic differential equations from time series data
Created
2020-03-30
495 commits to master branch, last one 2 months ago
A framework for developing multi-scale arrays for use in scientific machine learning (SciML) simulations
Created
2016-10-20
306 commits to master branch, last one about a month ago