Who wrote the tutorial of VQGAN+CLIP.
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Torch CUDA Neural Network Implementation.
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Julia module for Distance evaluation.
Clojure wrapper for Deeplearning4j.
Ready to use deeplearning docker images.
A fast Evolution Strategy implementation in Python.
Federated Learning - The Production AI Platform for Federated Learning at Scale.
Large scale Gaussian Mixture Models.
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Generalized linear models in Julia.
Julia wrapper for fitting Lasso/ElasticNet GLM models using glmnet.
Deep Neural Networks for Golang (powered by MXNet).
An offline recommender system backend based on collaborative filtering written in Go.
Is a personal, portable Hadoop environment that comes with a dozen interactive Hadoop tutorials.
Python materials for the online course on diffusion models by @huggingface.
Clojure wrapper for deeplearning4j with some added syntactic sugar.
A beginner-friendly guide on using Keras to implement a simple Neural Network in Python.
Run Keras models in the browser, with GPU support provided by WebGL 2.
Kernel density estimators for Julia.
A generic approach that allows to mimic most factorization models by feature engineering.
A minimal, educational, Pythonic implementation of autograd (~100 loc).