nd1511 Goto Github PK

nmn-pytorch

Neural Module Network for VQA in Pytorch

nussl

A simple audio source separation library built in python

omasgan_

OoD Minimum Anomaly Score GAN - Code for the Paper 'OMASGAN: Out-of-Distribution Minimum Anomaly Score GAN for Sample Generation on the Boundary'

openxbow

openXBOW - the Passau Open-Source Crossmodal Bag-of-Words Toolkit

osprey

Hyperparameter optimization for machine learning pipelines

pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

pandas-summary

An extension to pandas dataframes describe function.

parlai

A framework for training and evaluating AI models on a variety of openly available dialog datasets.

pb_bss

Collection of EM algorithms for blind source separation of audio signals

pconv-keras

Keras implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions"

pdnn

PDNN: A Python Toolkit for Deep Learning. http://www.cs.cmu.edu/~ymiao/pdnntk.html

pggan-pytorch

Progressively Growing GAN in PyTorch for Image and Sound generation

phd-bibliography

References on Optimal Control, Reinforcement Learning and Motion Planning

phd-thesis

Repository of my thesis "Understanding Random Forests"

pix2pix-tensorflow

Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/

pli-toolbox

A MATLAB Toolbox for Probabilistic Learning and Inference

practical-machine-learning-with-python

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

practical-ml-w-python

Source code for 'Practical Machine Learning with Python' by Dipanjan Sarkar, Raghav Bali, and Tushar Sharma

practice-python

Part of my daily plan for studying Python.

pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

prmlpy

Python demos for Chris Bishop's PRML textbook, and other machine learning stuff

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

probability

Probabilistic reasoning and statistical analysis in TensorFlow

probtorch

Probabilistic Torch is library for deep generative models that extends PyTorch

proof-of-concept

Proof Of Concept: Obtaining Graphs Like Fig. 4 in the Paper "Phase-Aware Single-Channel Speech Enhancement with Modulation-Domain Kalman Filtering"

py-audio-analysis

Python audio analysis modules to view frequency and amplitude data from an audio file

pyannote-audio

Neural building blocks for speaker diarization: speech activity detection, speaker change detection, speaker embedding

pybasicbayes

pyemma

🚂 Python API for Emma's Markov Model Algorithms 🚂

pyemma_tutorials

How to analyze molecular dynamics data with PyEMMA