#计算机科学#PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
翻译 - 稳定基线的PyTorch版本,增强学习算法的改进实现。
This repository contains opportunities for you to apply to more than 400 product base companies(NOT JUST FAANGM) & good start-ups.
翻译 - 此存储库包含您申请 150 多家产品基础公司(不仅仅是 FAANG)和优秀初创公司的机会
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equation...
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
#计算机科学#Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)
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 ...
Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
#计算机科学#Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code
Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization
Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.
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...
Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R
The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem
Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem
Linear operators for discretizations of differential equations and scientific machine learning (SciML)
Solvers for stochastic differential equations which connect with the scientific machine learning (SciML) ecosystem
New home of Swift Development Environment for VS Code
The Base interface of the SciML ecosystem