Stars
all of the workflows of n8n i could find (also from the site itself)
An introduction to the world of AI Agents
Curated list of data science interview questions and answers
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
An open-source, low-code machine learning library in Python
Google Research
divelab / DeeperGNN
Forked from mengliu1998/DeeperGNNOfficial PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]
Text Classification Algorithms: A Survey
A template for really easy blogging with GitHub Pages
Shared repository for open-sourced projects from the Google AI Language team.
[ECCV 2020] PyTorch code of MMT (a multimodal transformer captioning model) on TVCaption dataset
Explains nlp building blocks in a simple manner.
YiSi: A Semantic Machine Translation Evaluation Metric for Evaluating Languages with Different Levels of Available Resources
👁 Sightseer: TensorFlow library for state-of-the-art Computer Vision and Object Detection models
Open Source Neural Machine Translation and (Large) Language Models in PyTorch
A Keras TensorFlow 2.0 implementation of BERT, ALBERT and adapter-BERT.
A collection of various deep learning architectures, models, and tips
This repository contains implementations and illustrative code to accompany DeepMind publications
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
Collection of Tutorials and other Quantum Computer programming related things.
A repository containing tutorials for practical NLP using PyTorch
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.