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followers: 117.0 following: 1.2K repos: 8.3K gists: 139.0

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sandy4321's Projects

kepler-mapper

KeplerMapper is a Python class for visualization of high-dimensional data and 3-D point cloud data.

keras

Theano-based Deep Learning library (convnets, recurrent neural networks, and more).

keras-attention

Visualizing RNNs using the attention mechanism

keras-elmo

How to use ELMo embeddings in Keras with Tensorflow Hub

keras-hypetune

A friendly python package for Keras Hyperparameters Tuning based only on NumPy.

keras-l2sp-regularization-example

L2-SP regularization minimal example. Reference: "Explicit Inductive Bias for Transfer Learning with Convolutional Networks."

keras-multiple-process-prediction

A Simply Example to show how to use Keras model in multiple processes to do the prediction

keras-nbsvm

A Keras Implementation of NBSVM for Text Classification

keras-recommendation

Using Keras to implement recommender systems

keras-resnet

Residual networks implementation using Keras-1.0 functional API

中文长文本分类、短句子分类、多标签分类、两句子相似度（Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short），字词句向量嵌入层（embeddings）和网络层（graph）构建基类，FastText，TextCNN，CharCNN，TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN

keras-yolo3

A Keras implementation of YOLOv3 (Tensorflow backend)

keras_attention_block

attention block for keras Functional Model with only tensorflow backend

keras_lr_finder

Plots the change of the loss function of a Keras model when the learning rate is exponentially increasing.

keras_meetup

Deep Learning Made Easy with Keras (Thessaloniki Machine Learning Meetup)

keras_multiclass_classification

Multi-Class classification model implementation on the DUID - ER01 - ERARING POWER STATION - ORIGIN ENERGY - BIDDING DATA

keras_one_cycle_clr

Keras callbacks for one-cycle training, cyclic learning rate (CLR) training, and learning rate range test.

kerasgan

A collection of Keras GAN notebooks

kerasquantilemodel

Quantile Regression using Deep Learning. An alternative to Bayesian models to get uncertainty.

kernel_eca

Scikit-learn compatible Kernel Entropy Component Analysis in Python

keselj03

Reimplementation of the authorship attribution approach described in "Vlado Kešelj, Fuchun Peng, Nick Cercone, and Calvin Thomas. N-gram-based author profiles for authorship attribution. In Proc. of ACL. pp. 255-264, 2003" as part of the ECIR 2016 reproducibility study "Who Wrote the Web?"

kexpedia

code for the Kaggle Expedia competition https://www.kaggle.com/c/expedia-hotel-recommendations

key-features-to-look-in-inventory-management-software

Every businessman in the world wants to handle and manage their business inventory in the best way possible. They want to have a proper warehousing facility, uninterrupted supply chain, real-time tracking, robust reports and much more. For this to happen most of them switch to a powerful inventory management software. Before implementing the inventory management tool and integrating it with your existing system, businesses should consider these key features before they invest in the inventory software. They are: · Provides improved projections or forecasting for future · Helps in catalogue management and scanning of goods · Assists in inventory tracking and analysis · Integrates with existing business system and adheres with all the regulations · Improves the supply chain management Have a glance at TYASuite Inventory Management Software India’s #1 plug and play tool which lets you go live with your business within days. Instilled with unique features like catalog management, price management, supply chain and more helps in boosting your business productivity with efficiency and utmost precision. Get the free trial today!

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