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parametricumap_paper

Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep neural networks for representation and semi-supervised learning" (Sainburg, McInnes, Gentner, 2020).

perceptual-audio-codec

phongandbeyond

pi2_terabyte-scale-volume-images

C++ library and command-line software for processing and analysis of terabyte-scale volume images locally or on a computing cluster.

pidcontrolactiveinference

PID-like control implemented as active inference with linear generative models

pods

Principles of Data Science book

pop-oopsi

this repository stores code, text, simulations, and figs (and maybe more) for our population oopsi filter

probability

Intro to probability book

projects-ml-portfolio

Code Samples

proofchecker

A mathematical proof checker

pub2013ca_inference_net

Network simulation used in Lütcke, H., Gerhard, F., Zenke, F., Gerstner, W., and Helmchen, F. (2013).

pybdv_data_viewer

python tools for BigDataViewer

pyhsmm_spiketrains

Code for fitting neural spike trains with nonparametric hidden Markov and semi-Markov models built upon mattjj's PyHSMM framework.

pynwb

A Python API for working with Neurodata stored in the NWB Format

python-dependency-list

Find dependencies of python project

python-for-probability-statistics-and-machine-learning-2e

Second edition of Springer Book Python for Probability, Statistics, and Machine Learning

python-for-signal-processing

Notebooks for "Python for Signal Processing" book

python-tutorial

Scripting in python - follow on from introductory level tutorials

python_spectrograms_and_inversion

Spectrograms, MFCCs, and Inversion Demo in a jupyter notebook

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-2d-3d-unet-tutorial

pytorch-custom-dataset-examples

Some custom dataset examples for PyTorch

pytorch-lightning

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

pytorch-scenenetrgbd

Implementation of UNet as used in SceneNet RGB-D paper

pytorch-summary

Model summary in PyTorch similar to `model.summary()` in Keras

pytorch-toolbelt

PyTorch extensions for fast R&D prototyping and Kaggle farming

pytorch-unet

Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation

pytorch-unet-1

Tunable U-Net implementation in PyTorch

pytorchvideo

A deep learning library for video understanding research.