pomonam

torch-influence

A simple PyTorch implementation of influence functions.

logix

AI Logging for Interpretability and Explainability🔬

algorithmic-efficiency

MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvements in both training algorithms and models.

AttentionCluster

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

jax-influence

A simple Jax implementation of influence functions.

kronfluence

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

LearnablePoolingMethods

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

NetTriangulationEmbedding

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

NoisyNaturalGradient

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

Self-Tuning-Networks

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

pomonam/kronfluence

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

pomonam/NoisyNaturalGradient

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

pomonam/Self-Tuning-Networks

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

pomonam/AttentionCluster

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

pomonam/LearnablePoolingMethods

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

pomonam/jax-influence

A simple Jax implementation of influence functions.

pomonam/NetTriangulationEmbedding

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

pomonam/Rock-Paper-Scissors-Arcade-Machine

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

pomonam/algorithmic-efficiency

pomonam/continual-learning-baselines

Continual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and other strategies.

pomonam/models

Models and examples built with TensorFlow

pomonam/torch-influence

A simple PyTorch implementation of influence functions.

pomonam/torch-uncertainty

Torch Uncertainty: A PyTorch Library for benchmarking and leveraging efficient predictive uncertainty quantification techniques.

pomonam/tutorials

PyTorch tutorials.

pomonam/vm-setup