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Library of swarm-intelligence algorithms
🪐 A curated list of awesome Blender addons, tools, tutorials; and 3D resources for everyone.
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable,…
A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Magenta: Music and Art Generation with Machine Intelligence
A python library and collection of notebooks for making art with machine learning.
LSTM-RNN Tutorial with LSTM and RNN Tutorial with Demo with Demo Projects such as Stock/Bitcoin Time Series Prediction, Sentiment Analysis, Music Generation using Keras-Tensorflow
A book series (2 published editions) on the JS language.
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
🤖 Machine Learning Summer School Guide
Python programs, usually short, of considerable difficulty, to perfect particular skills.
Model-Agnostic Meta-Learning (MAML) Tensorflow 2 implementation. Fast, simple and easy to use.
Implementations of a number of generative models in Tensorflow 2. GAN, VAE, Seq2Seq, VAEGAN, GAIA, Spectrogram Inversion. Everything is self contained in a jupyter notebook for easy export to colab.
Toturials coming with the "data science roadmap" picture.
Documenting my python implementation of Andrew Ng's Machine Learning course