223 Open source projects that are alternatives of or similar to es_pytorch

Learning and practice of high performance computing (CUDA, Vulkan, OpenCL, OpenMP, TBB, SSE/AVX, NEON, MPI, coroutines, etc. )

This program evolves an AI using the NEAT algorithm to play Super Mario Bros.

Analysis kit for large-scale structure datasets, the massively parallel way

Examples for MPI Spawning and Splitting, and the differences between two implementations

A Repository with C++ implementations of Reinforcement Learning Algorithms (Pytorch)

A project on improving Neural Networks performance by using Genetic Algorithms.

Neuroevolution Framework for Tensorflow 2.x focusing on modularity and high-performance. Preimplements NEAT, DeepNEAT, CoDeepNEAT, etc.

Galaxy is an asynchronous parallel visualization ray tracer for performant rendering in distributed computing environments. Galaxy builds upon Intel OSPRay and Intel Embree, including ray queueing and sending logic inspired by TACC GraviT.

NEAT for Reinforcement Learning on the OpenAI Gym

PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL

Implementation of the Deep Deterministic Policy Gradient(DDPG) in bullet Gym using pytorch

A customized gym environment for developing and comparing reinforcement learning algorithms in crypto trading.

Fused Matrix Library

SST Structural Simulation Toolkit Parallel Discrete Event Core and Services

OpenAI Gym Environment API based Bitcoin trading environment

General, high performance algebraic multigrid solver

Repository containing ready-made laboratory works in the specialty of computing machines, systems and networks

Source codes for HHO paper: Harris hawks optimization: Algorithm and applications: https://www.sciencedirect.com/science/article/pii/S0167739X18313530. In this paper, a novel population-based, nature-inspired optimization paradigm is proposed, which is called Harris Hawks Optimizer (HHO).

Dynamic execution environments for coupled, thread-heterogeneous MPI+X applications

Shell scripts to build ipa

SCR caches checkpoint data in storage on the compute nodes of a Linux cluster to provide a fast, scalable checkpoint / restart capability for MPI codes.

Python implementation of the NEAT neuroevolution algorithm

Singularity 101

No description or website provided.

Come & try Decision-Intelligence version of "Agar"! Gobigger could also help you with multi-agent decision intelligence study.

Ravel MPI trace visualization tool

Exact diagonalization solver for quantum electron models

Run OpenAI Gym on a Server

Messaging and state layer for distributed serverless applications

Accelerated Collective Communication Library: MPI-like communication operations for Xilinx Alveo accelerators

Using Cartesian Genetic Programming to find an efficient Convolutional Neural Network architecture

HDF5-MPI parallel Fortran object-oriented interface

sparse communication library

Parallel Matrix Multiplication Using OpenMP, Phtreads, and MPI

Domain specific library for electronic structure calculations

Extensible Combinatorial Optimization Learning Environments

Yet another NEAT implementation

Parallel algorithms and data structures for tree-based AMR with arbitrary element shapes.

Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some explanation

Program for finding low gate count implementations of S-boxes.

Resources for Covid-19

Machine Learning Operator & Controller for Kubernetes

MPI benchmark to test and measure collective performance

Sklearn Interface and Distributed Training for Flux.jl

The Azure HPC On-Demand Platform provides an HPC Cluster Ready solution

The Arbor multi-compartment neural network simulation library.

Neuroevolution in F#

The fast Finite Volume simulator with UQ support.

A java implementation of NEAT(NeuroEvolution of Augmenting Topologies ) from scratch for the generation of evolving artificial neural networks. Only for educational purposes.

Deep-Q-Network reinforcement learning algorithm applied to a simple 2d-car-racing environment

Flutter fitness/workout app for wger

MPI Parallel framework for training deep learning models built in Theano

EXONA: The Evolutionary eXploration of Neural Networks Framework -- EXACT, EXALT and EXAMM

A.I. plays the original 1980 Pacman using Neuroevolution of Augmenting Topologies and Deep Q Learning

Repository from the paper https://arxiv.org/abs/1908.04127, to train Deep Reinforcement Learning in Fluid Mechanics Setup.

Distributed parallelization of 3D volume mesh adaptation

A Deep Learning Framework customized for Sunway TaihuLight

Massively Scalable Clustering

MPI benchmark to generate network bandwidth images

Event-Triggered Communication in Parallel Machine Learning