pykaleKnowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem
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MfrLearning Meta Face Recognition in Unseen Domains, CVPR, Oral, 2020
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Meta DatasetA dataset of datasets for learning to learn from few examples
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compvInsanely fast Open Source Computer Vision library for ARM and x86 devices (Up to #50 times faster than OpenCV)
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G-SFDAcode for our ICCV 2021 paper 'Generalized Source-free Domain Adaptation'
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EverTranslatorTranslate text anytime and everywhere, even you are gaming!
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SHOT-pluscode for our TPAMI 2021 paper "Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer"
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MVP BenchmarkMVP Benchmark for Multi-View Partial Point Cloud Completion and Registration
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2020a SSH mapping NATL60A challenge on the mapping of satellite altimeter sea surface height data organised by MEOM@IGE, Ocean-Next and CLS.
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kubernetes-iperf3Simple wrapper around iperf3 to measure network bandwidth from all nodes of a Kubernetes cluster
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dgraph-benchA benchmark program for dgraph.
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micro bench⏰ Dead simple, non intrusive, realtime benchmarks
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benchbox🧀 The Benchmark Testing Box
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cultCPU Ultimate Latency Test.
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p3arsecParallel Patterns Implementation of PARSEC Benchmark Applications
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maml-tensorflowThis repository implements the paper, Model-Agnostic Meta-Leanring for Fast Adaptation of Deep Networks.
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Audit-Test-AutomationThe Audit Test Automation Package gives you the ability to get an overview about the compliance status of several systems. You can easily create HTML-reports and have a transparent overview over compliance and non-compliance of explicit setttings and configurations in comparison to industry standards and hardening guides.
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KD3AHere is the official implementation of the model KD3A in paper "KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation".
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tpch-sparkTPC-H queries in Apache Spark SQL using native DataFrames API
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mqtt-mockmqtt压测工具。支持subscribe、publish压测方式,支持模拟客户端连接数。
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LoveDA[NeurIPS2021 Poster] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation
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CurveNetOfficial implementation of "Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis", ICCV 2021
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fusion ganCodes for the paper 'Learning to Fuse Music Genres with Generative Adversarial Dual Learning' ICDM 17
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