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Ozymandian Industries
- Phoenix, AZ
- http://rick.gerk.in
Highlights
- Pro
Stars
A generative world for general-purpose robotics & embodied AI learning.
A web scrapping method to extract journal information from PubMed and Google Scholar using Python.
Canonical Correlation Analysis Zoo: A collection of Regularized, Deep Learning based, Kernel, and Probabilistic methods in a scikit-learn style framework
Tensorflow 2.0 implementation of "Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning" in ICCV2019
A curated list of awesome Jupyter projects, libraries and resources
🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support
Materials for Mathematical Tools for Neuroscience course at Harvard (Neurobio 212)
nih-niddk-mbs / covid-sicr
Forked from ccc1685/covid-19Global prediction of unreported SARS-CoV2 infection from observed COVID-19 cases
A python package for inferring psychological embeddings.
legouee / python-neo
Forked from NeuralEnsemble/python-neoNeo is a package for representing electrophysiology data in Python, together with support for reading a wide range of neurophysiology file formats
Model fitting toolbox for the Brian 2 simulator
A curated list of awesome neuroscience libraries, software and any content related to the domain.
An Extension for the Interactive development of Dash apps in JupyterLab
A high level cheminformatics package for the Scientific Python stack, built on RDKit.
The ReScience journal. Reproducible Science is Good. Replicated Science is better.
Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead
a Python machine learning library for neurophysiology data
Bayesian Additive Regression Trees For Python
The ZeroMQ XOP enables Igor Pro to interface over the network using a ZeroMQ messaging layer and JSON as message format