software-papers VS Papers-in-100-Lines-of-Code

Compare software-papers vs Papers-in-100-Lines-of-Code and see what are their differences.

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software-papers Papers-in-100-Lines-of-Code
7 3
3,865 587
- -
6.7 5.4
12 days ago 12 days ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

software-papers

Posts with mentions or reviews of software-papers. We have used some of these posts to build our list of alternatives and similar projects.

Papers-in-100-Lines-of-Code

Posts with mentions or reviews of Papers-in-100-Lines-of-Code. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing software-papers and Papers-in-100-Lines-of-Code you can also consider the following projects:

awesome-experimental-standards-deep-learning - Repository collecting resources and best practices to improve experimental rigour in deep learning research.

EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

taichi-ngp-renderer - An Instants-NGP renderer that has been implemented using Taichi

CelebV-HQ - [ECCV 2022] CelebV-HQ: A Large-Scale Video Facial Attributes Dataset

rtdl-num-embeddings - (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning

nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

artbench - Benchmarking Generative Models with Artworks

MTR - The official implementation of the paper "Rethinking Data Augmentation for Tabular Data in Deep Learning"

pi-GAN-pytorch - Implementation of π-GAN, for 3d-aware image synthesis, in Pytorch

magic3d-pytorch - Implementation of Magic3D, Text to 3D content synthesis, in Pytorch

giraffe - This repository contains the code for the CVPR 2021 paper "GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields"

FSL-Mate - FSL-Mate: A collection of resources for few-shot learning (FSL).