Tanay Narshana's repositories
DFPC-Pruning
[ICLR 2023] PyTorch code for DFPC: Data flow driven pruning of coupled channels without data.
Single-Image-Dehazing-1
Single Image Dehazing using Dark Channel Prior based on the paper Single Image Haze Removal using Dark Channel Prior, by Kaiming He, Jian Sun, and Xiaoou Tang, in CVPR 2009
Awasome-Pruning
Awasome Papers and Resources in Convolution Neural Network Pruning with Code.
Awesome-Pruning
A curated list of neural network pruning resources.
flops-counter.pytorch
Flops counter for convolutional networks in pytorch framework
HALP
Visiting HALP's code.
Lab-5
Data Structures Lab 5 Code
Memory-efficient-model-for-Automatic-Speaker-Verification
Memory-efficient model for Automatic Speaker Verification
Model-Analysis-Scripts
PyTorch Scripts to Analyze Inference Time and Accuracies of Models on the ImageNet DataSet.
MS-LMOps
General technology for enabling AI capabilities w/ LLMs and MLLMs
Pruning
PyTorch code for our pruning project.
Pruning-Baselines
This goal of this repository is to serve as a one stop solution to baseline pruning algorithms against each other. The goal is to maintain links to pruned models and associated code to load those models.
pytorch-cifar10-models
CIFAR-10 models on PyTorch
pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
pytorch-summary
Model summary in PyTorch similar to `model.summary()` in Keras
rethinking-network-pruning
Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)
TanayNarshana.github.io
Tanay's personal webpage
Torch-Pruning
[Preprint] Towards Any Structural Pruning