# rahulvigneswaran/Lottery-Ticket-Hypothesis-in-Pytorch

<https://repo.masters-masters.com/en/repos/rahulvigneswaran/Lottery-Ticket-Hypothesis-in-Pytorch>

[Home](https://repo.masters-masters.com/en) › [rahulvigneswaran](https://repo.masters-masters.com/en/owners/rahulvigneswaran) › [Lottery-Ticket-Hypothesis-in-Pytorch](https://repo.masters-masters.com/en/repos/rahulvigneswaran/Lottery-Ticket-Hypothesis-in-Pytorch)

rahulvigneswaran/Lottery-Ticket-Hypothesis-in-Pytorch has 351 stars on GitHub. Its RepoMasters card: Alpha tier. This repository contains a Pytorch…

| Field | Value |
| --- | --- |
| Owner | [rahulvigneswaran](https://repo.masters-masters.com/en/owners/rahulvigneswaran) |
| Stars | 351 |
| Forks | 97 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2019 |
| Topics | lottery-ticket-hypothesis, pytorch, pytorch-implementation, python, iclr2019, lottery, winning-ticket, pruning, network-pruning, deep-learning |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [rahulvigneswaran/Lottery-Ticket-Hypothesis-in-Pytorch](https://github.com/rahulvigneswaran/Lottery-Ticket-Hypothesis-in-Pytorch) |

## Repository

This repository contains a Pytorch implementation of the paper "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks" by Jonathan Frankle and Michael Carbin that can be easily adapted to any model/dataset.

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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