AdvaitGadhikar's Stars
ivy-llc/ivy
Convert Machine Learning Code Between Frameworks
IgorSusmelj/pytorch-styleguide
An unofficial styleguide and best practices summary for PyTorch
haitongli/knowledge-distillation-pytorch
A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility
google-research/federated
A collection of Google research projects related to Federated Learning and Federated Analytics.
marcellodebernardi/loss-landscapes
Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch
Utkarsh-Deshmukh/Spatially-Varying-Blur-Detection-python
python implementation of the paper "Spatially-Varying Blur Detection Based on Multiscale Fused and Sorted Transform Coefficients of Gradient Magnitudes" - cvpr 2017
VITA-Group/Random_Pruning
[ICLR 2022] The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training by Shiwei Liu, Tianlong Chen, Xiaohan Chen, Li Shen, Decebal Constantin Mocanu, Zhangyang Wang, Mykola Pechenizkiy
rtflynn/Cifar-Autoencoder
A look at some simple autoencoders for the Cifar10 dataset, including a denoising autoencoder. Python code included.
nelaturuharsha/TurboPrune
Harness for training/finding lottery tickets in PyTorch. With support for multiple pruning techniques and augmented by distributed training, FFCV and AMP.