pomonam/LearnablePoolingMethods

This repository has been archived on 09/Apr/2024
Stars
38
Rank 703,516 (Top 14 %)
Language
Python
License
Apache License 2.0
Created over 6 years ago
Updated almost 6 years ago

pomonam/LearnablePoolingMethods

pomonam

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

TensorFlow Implementation of "Learnable Pooling Methods for Video Classification".

kronfluence

Influence Functions with (Eigenvalue-corrected) Kronecker-Factored Approximate Curvature

NoisyNaturalGradient

TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".

Self-Tuning-Networks

PyTorch implementation of "STNs" and "Delta-STNs".

AttentionCluster

TensorFlow Implementation of "Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification".

NetTriangulationEmbedding

TensorFlow implementation of end-to-end trainable Triangulation Embedding.

jax-influence

A simple Jax implementation of influence functions.

Rock-Paper-Scissors-Arcade-Machine

Arcade game for "Rock, Paper, Scissor" in Verilog.