ml-mipt
Former repository of ML course. Redirect link included (by girafe-ai)
pytorch-implementations
A collection of paper implementations using the PyTorch framework (by jaygala24)
ml-mipt | pytorch-implementations | |
---|---|---|
18 | 1 | |
11 | 28 | |
- | - | |
0.0 | 0.0 | |
over 2 years ago | about 4 years ago | |
Jupyter Notebook | Jupyter Notebook | |
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.
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.
ml-mipt
Posts with mentions or reviews of ml-mipt.
We have used some of these posts to build our list of alternatives
and similar projects.
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
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
What are some alternatives?
When comparing ml-mipt and pytorch-implementations you can also consider the following projects:
MachineLearningWithPython - Get started with Machine Learning with Python - An introduction with Python programming examples
ml-course - Open Machine Learning course
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.
paper-implementations - Attempts to implement various deep learning, computer vision papers.
mlops-course - Learn how to design, develop, deploy and iterate on production-grade ML applications.
conformal-prediction - Lightweight, useful implementation of conformal prediction on real data.