226 skills found · Page 5 of 8
HongyuGong / TextStyleTransferReinforcement Learning Based Text Style Transfer without Parallel Training Corpus
JoeriHermans / Master ThesisMy Master Thesis on Distributed Deep Learning (parallelizing gradient descent) and other concepts I did during my research.
Derfei / Task MergingThe code for the paper task merging and scheduling for parallel deep learning applications in mobile edge computing
ViktorC / PararealMLA machine learning boosted parallel-in-time differential equation solver framework.
Cornell-RelaxML / Hyperdimensional ComputingOfficial implementation for the paper "Understanding Hyperdimensional Computing for Parallel Single-Pass Learning"
wangkai-tech23 / LiParLiPar: A Lightweight Parallel Learning Model for Practical In-Vehicle Network Intrusion Detection (arXiv:2311.08000v2)
emNavi / RlPx4ControllerA parallel PX4 flight controller for large-scale reinforcement learning.
kivo360 / Concurrent Rl TrainingA concurrent and possibly highly parallel training environment for Reinforcement Learning Trading Bot
wyjung0625 / P3sImplementation of Population-Guided Parallel Policy Search for Reinforcement Learning
hkaggarwal / J MoDLJoint model-based deep learning for parallel imaging.
shenshuaijie / SDNThe code of SpikingSSMs: Learning Long Sequences with Sparse and Parallel Spiking State Space Models
abrazinskas / Machine Learning Data PipelinePipeline module for parallel real-time data processing for machine learning models development and production purposes.
ZhengChenCS / ParSecureMLA Parallel Secure Machine Learning Framework on GPUs
Corgy / CorgyAn iOS/macOS deep learning framework parallelized using Metal
gssci / NGM Sentiment AnalysisImplementation of Neural Graph Machine inspired by the paper [2017 - Bui, Ravi Ramavajjala - Neural Graph Machines: Learning Neural Networks Using Graphs] (https://arxiv.org/abs/1703.04818) for binary Sentiment Analysis using the Large Movie Review Dataset. This is an optional project for a class in Advanced Algorithms and Parallel Programming
qbx2 / PAAC.pytorchPytorch implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning https://arxiv.org/abs/1705.04862
ck37 / Ck37rR functions for project setup, data cleaning, machine learning, SuperLearner, parallelization, and targeted learning.
Melon-Xu / PSTLFusionSource Code for paper "Infrared and Visible Image Fusion via Parallel Scene and Texture Learning".
CharlieDinh / DONEFederated Learning using PyTorch. Second-Order for Federated Learning. (IEEE Transactions on Parallel and Distributed Systems 2022)
kuc2477 / Pytorch SplitnetPyTorch implementation of ICML 2017 paper, SplitNet: Learning to Semantically Split Deep Networks for Parameter Reduction and Model Parallelization
