Simple Python Script that imports an Impala Query into an Elastic Search Index

ScaleRL is a simple and scalable distributed reinforcement learning framework based on Python and PyTorch

Client library for Impala SQL engine

CLI for Impala Database. With syntax highlighting.

Basic Hadoop Course Code

Implement of IMPALA (Importance Weighted Actor-Learner Architectures) with pytorch

Code for paper "Deep Reinforcement Learning based Multi-task Automated Channel Pruning for DNNs"

Reinforcement Learning 1 course - University of Alberta - Fall 2023

Multi-agents distributed reinforcement learning framework built with PyTorch in the SMAC2 environment

Apache Hadoop

Run a sequence of sql queries or scripts on a target db

Pytorch implementation of various distributed reinforcement learning algorithms

BigData Engineering Capstone Project with Tech-stack : Linux, MySQL, sqoop, HDFS, Hive, Impala, SparkSQL, SparkML, git

Distributed RL platform with modified IMPALA architecture. Implements CLEAR, LASER V-trace modifications along with Attentive and Elite sampling experience replay methods.

Pytorch version implementation of IMPALA. Haven't been finished

This repository is implementation of distributed reinforcement learning algorithm using pytorch, Redis and ray.

Improve your workflow efficiency by connecting to databases and cloud systems effortlessly.

同步Hive数据仓库数据到Elasticsearch的小工具

PyTorch IMPALA implementation

Distributed RL Implementation using Pytorch and Ray (ApeX(Ape-X), A3C, Distributed-PPO(DPPO), Impala)