USC Media Communications Lab
- 8 followers
- Hughes Aircraft Electrical Engineering Building (EEB) 3740 McClintock Avenue (University Park Campus) Los Angeles, CA 90089-2560
- http://mcl.usc.edu
Popular repositories Loading
-
Project_Demo
Project_Demo PublicDemo for Pixel Hop, Pixel Hop++, Interpretable CNN and Face Hop. The most recent version of Saab transform is used in all the projects.
-
Channelwise-Saab-Transform
Channelwise-Saab-Transform PublicForked from yijingyang710/Channelwise-Saab-Transform
Feature extraction (Module 1) for PixelHop/PixelHop++
-
PointHop-PointHop2_Spark
PointHop-PointHop2_Spark PublicForked from minzhang-1/PointHop-PointHop2_Spark
A fast and low memory requirement version of PointHop and PointHop++, which is built upon Apache Spark.
Python
-
Interpretable_CNNs_via_Feedforward_design
Interpretable_CNNs_via_Feedforward_design PublicForked from minzhang-1/Interpretable_CNNs_via_Feedforward_design
Official Implementation for FF_designed CNNs
Jupyter Notebook
-
SBERT-WK-Sentence-Embedding
SBERT-WK-Sentence-Embedding PublicForked from BinWang28/SBERT-WK-Sentence-Embedding
Code for Paper: SBERT-WK: A Sentence Embedding Method By Dissecting BERT-based Word Models
Python
-
Repositories
- Channelwise-Saab-Transform Public Forked from yijingyang710/Channelwise-Saab-Transform
Feature extraction (Module 1) for PixelHop/PixelHop++
- GIC-python-v1 Public
- Project_Demo Public
Demo for Pixel Hop, Pixel Hop++, Interpretable CNN and Face Hop. The most recent version of Saab transform is used in all the projects.
- SBERT-WK-Sentence-Embedding Public Forked from BinWang28/SBERT-WK-Sentence-Embedding
Code for Paper: SBERT-WK: A Sentence Embedding Method By Dissecting BERT-based Word Models
- PointHop-PointHop2_Spark Public Forked from minzhang-1/PointHop-PointHop2_Spark
A fast and low memory requirement version of PointHop and PointHop++, which is built upon Apache Spark.
- Interpretable_CNNs_via_Feedforward_design Public Forked from minzhang-1/Interpretable_CNNs_via_Feedforward_design
Official Implementation for FF_designed CNNs