shohamne

Active-Passive-Losses

[ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels

deepriemann

easy

This repository is the official implementation Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients.

fmsketch

neural-tangents

Fast and Easy Infinite Neural Networks in Python

pymanopt

Python toolbox for optimization on manifolds with support for automatic differentiation

ranks

set-augmentation

simple_gpu_scheduler

Simple scheduler for running jobs on GPUs

uci_datasets

Regression datasets from the UCI repository with standardized test-train splits.

shohamne/Active-Passive-Losses

[ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels

shohamne/deepriemann

shohamne/easy

This repository is the official implementation Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients.

shohamne/fmsketch

shohamne/neural-tangents

Fast and Easy Infinite Neural Networks in Python

shohamne/pymanopt

Python toolbox for optimization on manifolds with support for automatic differentiation

shohamne/ranks

shohamne/set-augmentation

shohamne/simple_gpu_scheduler

Simple scheduler for running jobs on GPUs

shohamne/uci_datasets

Regression datasets from the UCI repository with standardized test-train splits.