SelfishGene/visual_taste_approximator SelfishGene/visual_taste_approximator

  • Stars
    star
    39
  • Rank 693,563 (Top 14 %)
  • Language
    Python
  • License
    MIT License
  • Created about 2 years ago
  • Updated about 2 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
SelfishGene/visual_taste_approximator
github

SelfishGene

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Visual Taste Approximator (VTA) is a very simple tool that helps anyone create an automatic replica of themselves that can approximate their own personal visual taste

More Repositories

1

SFHQ-dataset

Synthetic Faces High Quality (SFHQ) Dataset. 425,000 curated 1024x1024 synthetic face images
Python
191
star
2

neuron_as_deep_net

Code behind the work "Single Cortical Neurons as Deep Artificial Neural Networks", published in Neuron 2021
Python
135
star
3

filter_and_fire_neuron

Code behind the work "Multiple Synaptic Contacts Combined with Dendritic Filtering Enhance Spatio-Temporal Pattern Recognition of Single Neurons", bioRxiv 2022
Python
8
star
4

a_chatgpt_never_forgets

A very simple implementation of a chat-bot that remembers everything you ever talked about and possesses rudimentary theory of mind
Python
5
star
5

repo_to_text

convert github repos or local folders into a single text document that can be used for LLM training, RAG or copy pasting into context while developing
Python
2
star
6

my_kaggle_notebooks

Repo with my most popular kaggle notebooks. I've put a lot of effort into them back in the day, so they are highly curated and well documented.
Jupyter Notebook
2
star
7

ImSME-dataset

ImSME dataset - Images of Simple Math Equations. 262,144 wide images containing simple math equations
Jupyter Notebook
1
star
8

LMMP-protocol

LMMP - a multimodal protocol for the language model era. implements image2string() and string2image() methods
Python
1
star