pytorch-implementations VS paper-implementations

Compare pytorch-implementations vs paper-implementations and see what are their differences.

pytorch-implementations

A collection of paper implementations using the PyTorch framework (by jaygala24)
Pytorch paper-implementations Deep Learning Machine Learning Computer Vision Natural Language Processing
Source Code
Suggest alternative
Edit details

paper-implementations

Attempts to implement various deep learning, computer vision papers. (by quickgrid)
Computer Vision Deep Learning paper-implementations Pytorch generative-adversarial-network diffusion text-to-image
Source Code
Suggest alternative
Edit details
InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
pytorch-implementations paper-implementations
1 1
23 3
- -
0.0 2.3
almost 3 years ago about 1 year ago
Jupyter Notebook Jupyter Notebook
- Apache License 2.0
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.

pytorch-implementations

Posts with mentions or reviews of pytorch-implementations. We have used some of these posts to build our list of alternatives and similar projects.
  • Paper Implementations using PyTorch
    1 project | /r/learnmachinelearning | 11 Jun 2021
    I have created a git repository that contains a collection of pytorch notebooks implementing different deep learning papers. These notebooks were created by me during my learning process and hopefully would help others play around with the concepts related to the papers. Here is the link: https://github.com/jaygala24/pytorch-implementations

paper-implementations

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

What are some alternatives?

When comparing pytorch-implementations and paper-implementations you can also consider the following projects:

autogluon - Fast and Accurate ML in 3 Lines of Code

climategan - Code and pre-trained model for the algorithm generating visualisations of 3 climate change related events: floods, wildfires and smog.

Deep-Learning-Computer-Vision - My assignment solutions for Stanford’s CS231n (CNNs for Visual Recognition) and Michigan’s EECS 498-007/598-005 (Deep Learning for Computer Vision), version 2020.

conformal-prediction - Lightweight, useful implementation of conformal prediction on real data.

min-3-flow - A multistage text to image framework. Built from a inference-reduced set of min-dalle, glid-3-xl, and SwinIR.

ml-mipt - Former repository of ML course. Redirect link included

blended-latent-diffusion - Official implementation for "Blended Latent Diffusion" [SIGGRAPH 2023]

ml-course - Open Machine Learning course

pytorch-implementations vs autogluon paper-implementations vs climategan pytorch-implementations vs Deep-Learning-Computer-Vision paper-implementations vs Deep-Learning-Computer-Vision pytorch-implementations vs conformal-prediction paper-implementations vs min-3-flow pytorch-implementations vs ml-mipt paper-implementations vs blended-latent-diffusion pytorch-implementations vs ml-course