NovelAI-Setup-Guide
machine_learning_basics
| NovelAI-Setup-Guide | machine_learning_basics | |
|---|---|---|
| 2 | 5 | |
| 15 | 4,213 | |
| - | - | |
| 10.0 | 3.4 | |
| over 1 year ago | 12 days ago | |
| Jupyter Notebook | Jupyter Notebook | |
| BSD 3-clause "New" or "Revised" License | MIT License |
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.
NovelAI-Setup-Guide
-
AI Art Destiny's stream thumbnail (Novel AI)
What I used (Novel AI): https://github.com/slooi/NovelAI-Setup-Guide expires every 50 images generated, relaunch from step one or wait 3 days
-
NovelAI keeps Going Between A Loop
The steps on the github page
machine_learning_basics
-
Bayesian linear regression in (plain) Python
A while back I open sourced a repository implementing fundamental machine learning algorithms in Python, along with the most important theoretical information. I originally created the repository for myself when preparing for AI residency interviews. You can find the original Reddit post here.
- Bayesian linear regression in Python
What are some alternatives?
sygil-webui - Stable Diffusion web UI
Financial-Models-Numerical-Methods - Collection of notebooks about quantitative finance, with interactive python code.
pre-commit-jupyter - Clean up cell outputs of jupyter notebook
100-Days-Of-ML-Code - 100 Days of ML Coding
Diffusion-ColabUI - Choose your diffusion models and spin up a WebUI on Colab in one click
borb-google-colab-examples - This repository contains some examples of using borb in google colab. These examples enable you to try out the features of borb without installing it on your system. They also ensure the system requirements and imports are all taken care of.
ImageAI-Setup-Guide - This is a step-by-step guide on how to set up ImageAI using Google's free service, Google Collab
mango - Parallel Hyperparameter Tuning in Python
trulens - Evaluation and Tracking for LLM Experiments
rmi - A learned index structure
PyImpetus - PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in order to provide not just the best set of features but also the best combination of features
Time-series-classification-and-clustering-with-Reservoir-Computing - Library for implementing reservoir computing models (echo state networks) for multivariate time series classification and clustering.