[R] Knowledge Distillation, Model Ensemble and Its Application on Visual Recognition - Link to a free online lecture by the author in comments

• MEAL

  2 173 10.0 Python

  Official Implementation of MEAL: Multi-Model Ensemble via Adversarial Learning on AAAI 2019

• MEAL-V2

  1 684 1.8 Python

  MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks. In NeurIPS 2020 workshop.

NeurIPS 2020 workshop paper: ‘Meal v2: Boosting vanilla resnet-50 to 80%+ top-1 accuracy on imagenet without tricks’, Github: https://github.com/szq0214/MEAL-V2

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• S2-BNN

  1 61 2.7 Python

  S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration (CVPR 2021)

CVPR 2021 paper ‘S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration’, Github: https://github.com/szq0214/S2-BNN

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