dnn.cool
A framework for multi-task learning, where you may precondition tasks and compose them into bigger tasks. Conditional objectives and per-task evaluations and interpretations. (by hristo-vrigazov)
Super-SloMo
PyTorch implementation of Super SloMo by Jiang et al. (by avinashpaliwal)
| dnn.cool | Super-SloMo | |
|---|---|---|
| 1 | 1 | |
| 49 | 2,988 | |
| - | - | |
| 4.2 | 0.0 | |
| over 3 years ago | about 2 years 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.
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.
dnn.cool
Posts with mentions or reviews of dnn.cool.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Multitask Regression
Self-promotion, but I made a framework exactly for this use case :) https://github.com/hristo-vrigazov/dnn.cool
Super-SloMo
Posts with mentions or reviews of Super-SloMo.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Cop records huge crash with his bodycam.
No, this is clearly based on deep training based methods. Traditional algorithms wouldn't have fucked up the text that badly. The artefacts in the video practically scream "i ran this clip thru SuperSloMo".
What are some alternatives?
When comparing dnn.cool and Super-SloMo you can also consider the following projects:
flow-forecast - Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
tabnet - PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
hivemind - Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.
neuralforecast - Scalable and user friendly neural :brain: forecasting algorithms.
torchio - Medical imaging processing for deep learning.