16A0

Pinned Repositories

16A0
0 1 00
adversarial
Code and hyperparameters for the paper "Generative Adversarial Networks"
Language:Python0 1 00
AI-Scientist
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑‍🔬
Language:Jupyter Notebook0 0 00
big-sleep
A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN. Technique was originally created by https://twitter.com/advadnoun
Language:Python0 0 00
CLIP
Contrastive Language-Image Pretraining
Language:Jupyter Notebook0 1 00
dictionary-of-colour-combinations
palettes from A Dictionary of Colour Combinations
Language:Python0 0 00
experiments
Language:Jupyter Notebook0 1 00
glide-text2im
GLIDE: a diffusion-based text-conditional image synthesis model
Language:Python0 0 00
image-tsne
t-SNE for custom datasets 🎨
Language:Jupyter Notebook0 1 00
til
useful tidbits
Language:Jupyter Notebook0 2 01

16A0's Repositories

16A0/16A0
0 1 00
16A0/adversarial
Code and hyperparameters for the paper "Generative Adversarial Networks"
Language:Python0 1 00
16A0/AI-Scientist
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑‍🔬
Language:Jupyter Notebook0 0 00
16A0/big-sleep
A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN. Technique was originally created by https://twitter.com/advadnoun
Language:Python0 0 00
16A0/CLIP
Contrastive Language-Image Pretraining
Language:Jupyter Notebook0 1 00
16A0/dictionary-of-colour-combinations
palettes from A Dictionary of Colour Combinations
Language:Python0 0 00
16A0/experiments
Language:Jupyter Notebook0 1 00
16A0/glide-text2im
GLIDE: a diffusion-based text-conditional image synthesis model
Language:Python0 0 00
16A0/image-tsne
t-SNE for custom datasets 🎨
Language:Jupyter Notebook0 1 00
16A0/impacket
Impacket is a collection of Python classes for working with network protocols.
Language:Python0 1 00
16A0/til
useful tidbits
Language:Jupyter Notebook0 2 01
16A0/lucid
A collection of infrastructure and tools for research in neural network interpretability.
Language:Jupyter Notebook1 0
16A0/mteb
MTEB: Massive Text Embedding Benchmark
16A0/neural-painters
Language:Jupyter Notebook1 0
16A0/SinGAN
Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"
Language:Python1 0
16A0/stylegan2-surgery
StyleGAN2 fork with scripts and convenience modifications for creative media synthesis
Language:Jupyter Notebook1 0
16A0/stylegan3
Official PyTorch implementation of StyleGAN3
Language:Python0 0
16A0/t81_558_deep_learning
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
Language:Jupyter Notebook1 0
16A0/youtube-dl
Repository with the code of youtube-dl