127 skills found · Page 3 of 5
hongzimao / A3cTensorflow implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
CASISCAS / AsysparkAsynchronous spark machine learning with parameter server
RomeroBarata / Human Object InteractionCode for CVPR'21 paper "Learning Asynchronous and Sparse Human-Object Interaction in Videos".
yuvalatzmon / SACRED HYPEROPT ExampleA minimal example for integrating a general machine learning training script with SACRED experimental framework, and HyperOpt (Distributed Asynchronous Hyperparameter Optimization).
DistRL-lab / Distrl OpenDistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agents
yuxuan18 / FedAsyncsimulation of the asynchronous federated learning system of paper "Asynchronous Federated Optimization"
yyyanbj / Fedhf🔨 A Flexible Federated Learning Simulator for Heterogeneous and Asynchronous.
vuthanhhai2302 / Understand Asynchronous ProgrammingA part of my journey on being better, learning asynchronous programming
idthanm / MpgMPG is originated from the paper "Mixed policy gradient", which also contains a cluster of high-quality implementations of deep reinforcement learning algorithms.
gliese581gg / Batch A3C TensorflowModified tensorflow implementation of 'Asynchronous Methods for Deep Reinforcement Learning'
cshjin / FedsimulA project for simulation of Asynchronous Federated Learning
venglov / Smart Price Changes AgentThis agent monitors any critical price changes, using machine learning, for all trading pools for all protocols that support the pool's Uniswap-like ABI (at least 3500+ pools on one Ethereum network). All information is stored in a local asynchronous database, which ensures the reliability of information storage in case of unexpected node failures.
zmonoid / MxasynAsynchronous One Step Q Learning implemented with MXNET
r-gg / Flower AsyncImplementation of asynchronous federated learning in flower.
onewithhammer / ESP8266 MyWidget DemoThis project can be used as a framework, learning tool or as a template for starting a new ESP8266 project. It contains many many UI and API components to build a ESP8266 project. This project includes: ESP8266 Development, mDNS - multicast DNS (mywidget.local), Asynchronous Web Server (ESPAsyncWebServer), Asynchronous Web Services (ESPAsyncWebServer), Asynchronous MQTT (PangolinMQTT), LittleFS File System, Embedded Bootstrap (3.4.1), Embedded jquery (3.5.1), Save/Load Config File (text), OTA (Over the Air) Updates, HTTP API Supports HTTP GET/POST, Auto Updating Web Site (Web Services using JS), Interrupt Timer (Flash Onboard LED), Plus much more...
MondayCat / PLGAAsynchronous Federated Learning
eliesgherbi / Deep Learning 4 IDSModern and future vehicles are complex cyber-physical sys-tems. The connection to their outside environment raises many securityproblems that impact our safety directly. In this work, we propose a DeepCAN intrusion detection system framework. We propose a multivariatetime series representation for asynchronous CAN data. This represen-tation enhances the temporal modelling of deep learning architecturesfor anomaly detection. We study different deep learning tasks (super-vised/unsupervised) and compare different architectures, to propose anin-vehicle intrusion detection system that fits constraints of memory andcomputational power of the in-vehicle system. The proposed intrusiondetection system is time window wise: any given time frame is labelledeither anomalous or normal. We conduct experiments with many types ofattacks on an in-vehicle CAN using SynCAn dataset. We show that oursystem yields good results and allow to detect different kinds of attacks.
twilio-labs / Ml Training ApiA service template for asynchronous machine learning model training
thecheebo / Asynchronous Federated Learning On Hierarchical ClustersCS525 Group research Paper. A central server uses network topology/clustering algorithm to assign clusters for workers. A special aggregator device is selected to enable hierarchical learning, leads to efficient communication between server and workers, while allowing heterogeneity.
Anushka-Pote / StandOut PlatformAI-powered learning platform that transforms asynchronous courses into dynamic and engaging experiences
