Home› Projects› Paper-Implementations
Paper-Implementations
Python

Paper-Implementations

Use PyTorch to implement some classic frameworks

by sunshineatnoon · GitHub
622
Stars
197
Forks
2017
Created
9 yr ago
Last commit
computer-vision
Category
Python
Language
computer-visiondeep-learningpytorchPython
View on GitHub
In plain words

Implement classic machine learning models using PyTorch for various tasks.

You maintain this project?

Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.

Claim this page →
Paper-Implementations — GitHub preview card
📈 Star history
623622
2026-07-202026-08-31
📈 Track Paper-Implementations

Get an email alert on its next release or when it starts trending — never miss the moment.

Free · no card · unsubscribe anytime
Get email alerts →
📄 About

Use PyTorch to implement some classic frameworks

Paper-Implementations has 622 stars on GitHub. It has been forked 197 times. Paper-Implementations is written mainly in Python. It has been in active development since 2017. Its main topics are computer-vision, deep-learning, pytorch.

❓ Frequently asked questions

What is Paper-Implementations?

Use PyTorch to implement some classic frameworks

Is Paper-Implementations open source?

Paper-Implementations is an open-source project.

Is Paper-Implementations free?

Yes. Paper-Implementations is free and open source — you can use, modify and self-host it.

What language is Paper-Implementations written in?

Paper-Implementations is written mainly in Python.

🏅 Maintainer of this project?
olud.ai badge — Paper-Implementations

Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.

[![olud.ai](https://olud.ai/badge.php?tool=sunshineatnoon-paper-implementations)](https://olud.ai/project/sunshineatnoon-paper-implementations.html)
More badge options →
🧬 Shares DNA with
eat_pytorch_in_20_days
Pytorch🍊🍉 is delicious, just eat it! 😋😋
★ 6.2k · deep-learning
sharespytorch
DeepLearning-MuLi-Notes
Notes about courses Dive into Deep Learning by Mu Li
★ 3.8k · deep-learning
sharespytorch
nvdiffrec
Official code for the CVPR 2022 (oral) paper "Extracting Triangular 3D Models, Materials, and L…
★ 2.3k · deep-learning
sharespytorch
GOPS
General Optimal control Problem Solver (GOPS), an easy-to-use PyTorch reinforcement learning so…
★ 304 · pytorch
sharespytorch
dd3d
Official PyTorch implementation of DD3D: Is Pseudo-Lidar needed for Monocular 3D Object detecti…
★ 493 · computer-vision
sharespytorch
LLM-workshop-2024
A 4-hour coding workshop to understand how LLMs are implemented and used
★ 1.1k · large-language-models
sharespytorch
pytorch-deep-learning
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
★ 18.4k · deep-learning
sharespytorch
rl_games
RL implementations
★ 1.4k · deep-learning
sharespytorch
torch-light
Deep-learning by using Pytorch. Basic nns like Logistic, CNN, RNN, LSTM and some examples are…
★ 538 · deep-learning
sharespytorch
trlx
A repo for distributed training of language models with Reinforcement Learning via Human Feedba…
★ 4.8k · machine-learning
sharespytorch

Measured from GitHub topics shared by both projects, weighted by how rare each topic is.