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Image-to-Image Translation in PyTorch
A little word cloud generator in Python
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.
Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoo…
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
A mix of GAN implementations including progressive growing
Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)
Multivariate Time Series Transformer, public version
Fully Convlutional Neural Networks for state-of-the-art time series classification
Python package to access a cacophony of neuro-imaging file formats
🔥 Use pre-trained models in PyTorch to extract vector embeddings for any image
PyTorch Blog Post On Image Similarity Search
Keras implementation of CycleGAN using a tensorflow backend.
Example scripts for parsing data exported by popular fitness tracking devices and apps. Created for this article: https://towardsdatascience.com/parsing-fitness-tracker-data-with-python-a59e7dc17418
Holds the code for a minimal GAN implementation
Package designed for handling imbalanced classification
Source code for "A deep dive into reinforcement learning"
mcbizmod is a package meant to help create advanced business case opportunities leveraging distributions.