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openml-pimp

Parameter Importance according to OpenML

osmnx

OSMnx: Python for street networks. Retrieve, construct, analyze, and visualize street networks from OpenStreetMap.

pagerank

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

parlai

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

pbt

Population Based Training, Figure 2

pbtnet

pcifar

95.16% on CIFAR10 with PyTorch

pipenet

places365

The Places365-CNNs for Scene Classification

planetoid

Semi-supervised learning with graph embeddings

pmet

classification and metric learning on strings

ppnp

ppnp.bak

PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank".

preptile

pressgloss

DAIDE Gloss generator

pruned-landmark-labeling

Fast and exact shortest-path distance querying index

pyaudioanalysis

Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications

python_essentials

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-graphsage

Representation learning on large graphs using stochastic graph convolutions.

pytorch-pretrained-bert

A PyTorch implementation of Google AI's BERT model provided with Google's pre-trained models, examples and utilities.

pytorch-retinanet

Pytorch implementation of RetinaNet object detection.

pyts

A Python package for time series transformation and classification

qlearning4k

Q-learning for Keras

qmf

A fast and scalable C++ library for implicit-feedback matrix factorization models

qnas

rcode

rec-benchmarks

Recommender system benchmarks (MovieLens)

retrieval-2016-deepvision