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abbreviation-extraction

Python3 implementation of the Schwartz-Hearst algorithm for extracting abbreviation-definition pairs

ai-chatbot-framework

A python chatbot framework with Natural Language Understanding and Artificial Intelligence.

alphapy

Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost

atm

Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).

bad-commit-message-blocker

Inhibits commits with bad messages from getting merged

bert-embedding

🔡 Token level embeddings from BERT model on mxnet and gluonnlp

choix

Inference algorithms for models based on Luce's choice axiom

deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

delfi

Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead

densetorch

An easy-to-use wrapper for work with dense per-pixel tasks in PyTorch (including multi-task learning)

doc2vec

:notebook: Long(er) text representation and classification using Doc2Vec embeddings

efficientnet

Implementation of EfficientNet model. Keras and TensorFlow Keras.

engine

The Centrifuge process, filter and saves the relevant documents as recommendations to the relevant users

entropy

EntroPy: complexity of time-series in Python (DEPRECATED)

feature-selection

Features selector based on the self selected-algorithm, loss function and validation method

fer

Facial Expression Recognition with a deep neural network as a PyPI package

fishervector

Improved Fisher Vector Implementation- extracts Fisher Vector features from your data

funk-svd

:zap: A python fast implementation of the famous SVD algorithm popularized by Simon Funk during Netflix Prize

gluon2pytorch

Gluon to PyTorch deep neural network model converter

goapy

Goal-Oriented Action Planning implementation in Python

healthcareai-py

Python tools for healthcare machine learning

hub-toolbox-python3

Hubness analysis and removal functions

hyperparameter_hunter

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

iohmm

Input Output Hidden Markov Model (IOHMM) in Python

ivis

Dimensionality reduction in very large datasets using Siamese Networks

kernel-gof

NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.

lagom

lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

language-detector

Detect the language of text

light-weight-refinenet

Light-Weight RefineNet for Real-Time Semantic Segmentation

localgraphclustering