Stars
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
A scikit-learn compatible neural network library that wraps PyTorch
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
MTCNN face detection implementation for TensorFlow, as a PIP package.
Repository containing notebooks of my posts on Medium
Official codebase used to develop Vision Transformer, SigLIP, MLP-Mixer, LiT and more.
Python library for interactive topic model visualization. Port of the R LDAvis package.
An introduction to network analysis and applied graph theory using Python and NetworkX
Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke
Code repository for Convolutional Pose Machines, CVPR'16
Normalizing flows in PyTorch. Current intended use is education not production.
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
Multivariate Time Series Forecasting with efficient Transformers. Code for the paper "Long-Range Transformers for Dynamic Spatiotemporal Forecasting."
A collection of Bayesian data analysis recipes using PyMC3
Understanding computation in artificial and biological recurrent networks through the lens of dynamical systems.
CS198-96: Intro to Neurotechnology @ UC Berkeley
Pytorch implementation of GRU-ODE-Bayes
Jupyter Notebooks with Deep Learning Tutorials
Some tutorials for students of neuroscience
This repository is a Python package with all of the functions and python libraries required for the Dartmouth fMRI Analysis Course taught by Prof Luke Chang, PhD.
Scikit-learn style estimator for Minimum Spanning Tree Clustering in Python
biosignalsnotebooks project includes a set of Jupyter Notebooks explaining some processing tasks which have been specially designed for biosignalsplux and OpenSignals users. A Python package is als…
Doing Bayesian statistics in Python!
Python code for the Riemannian Procrustes Analysis (RPA) method