kiminh Goto Github PK

p2_net

paddle

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

paddlerec

大规模推荐模型训练工具

pair-trading-reinforcement-learning

An Structural Application of Reinforcement Learning in Pair Trading

paircnn-ranking

A tensorflow implementation of Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks

pairwise

Code for "Enhance Pointer Network with Pairwise Ordering Predictions"AAAI2020

pairwisepreferencelearning

Performs pairwise preference ranking for a given trainfile and testfile with binary class labels (1 and not 1). The binary classification on the pairwise test data gives a prediction from each pair of test items: which of the two should be ranked higher. From these pairwise preferences a ranking can be created using a greedy sort algorithm.

paldb

An embeddable write-once key-value store written in Java

pamm

The source code of "Learning maximal marginal relevance model via directly optimizing diversity evaluation measures" in SIGIR'15

pampy

Pampy: The Pattern Matching for Python you always dreamed of.

pangu-alpha-tf

paper

paper collections in database/distributed system/operating system/crypto/arch/security&privacy

paper-reading

比做算法的懂工程落地，比做工程的懂算法模型。

paper-reading-list

Reading paper list for iCloud group

paperlist-for-recommender-systems

Recommender Systems Paperlist that I am interested in

papers

📖Notes and remarks on Machine Learning related papers

papers-1

Summaries of papers on machine learning, computer vision, autonomous robots etc.

papers-2

paracel

Distributed training framework with parameter server

parade

parallax

A Tool for Automatic Parallelization of Deep Learning Training in Distributed Multi-GPU Environments.

parallel-pso-spark

Parallel Particle Swarm Optimizer on the Spark Clustering Computing Platform.

parallelcdn

Parallelized Coordinate Descent Newton Method for Efficient L1-Regularized Minimization.

parameter-server-architecture-on-apache-kafka

Parameter server implementation on KafkaStreams

parameterserver

A distributed parameter server project in C++ to scale ML on the cloud.

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).

pareto-weighted-sum-tuning

The Pareto-Weighted-Sum-Tuning utilizes Learning-to-Rank Machine Learning to help solve Pareto (Multiobjective, Multicriteria) Optimization Problems.

paretomtl

Code for Neural Information Processing Systems (NeurIPS) 2019 paper: Pareto Multi-Task Learning

particlethompsonsamplingmab

Multi-Arm Bandits for online recommendations via Particle Thompson Sampling with Probabilistic Matrix Factorization

path_explain

A repository for explaining feature attributions and feature interactions in deep neural networks.