- Germany
- seaborn.app
- @_seaborn_
Stars
A list of semi to fully remote-friendly companies (jobs) in tech.
๐ Awesome lists about all kinds of interesting topics
๐ python package to calculate readability statistics of a text object - paragraphs, sentences, articles.
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Multipass orchestrates virtual Ubuntu instances
Master programming by recreating your favorite technologies from scratch.
A synthetic data generator for text recognition
Official PyTorch repo for GAN's N' Roses. Diverse im2im and vid2vid selfie to anime translation.
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
Official PyTorch repo for JoJoGAN: One Shot Face Stylization
Simple tool to split COCO annotations into train/test datasets.
An opinionated list of awesome Python frameworks, libraries, software and resources.
[NeurIPS'21] Projected GANs Converge Faster
๐ค๐จ๐ธA curated list of awesome projects, works, people, articles, and resource for creating art (including music) with machine learning. It's machine learning art.
A JavaScript library for real-time visualization
Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
๐ A ranked list of awesome machine learning Python libraries. Updated weekly.
PyTorch implementation of AnimeGANv2
๐A pyTorch implementation of the DeepMoji model: state-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc
appcypher / ai-trending
Forked from modanesh/trending-repostrending repositories and news related to AI
Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relaโฆ
Latex code for making neural networks diagrams
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.