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A curated list of awesome Python frameworks, libraries, software getting started tutorial
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Deep Learning
179
inference and machine learning in clojure
Infer Inference and Machine Learning in Clojure Infer is a library for machine learning and statistical inference, designed to be used in real product
Deep Learning
136
Clojure wrapper for Encog (v3) (Machine-Learning framework that specialises in neural-nets...
enclog Clojure wrapper for the encog (v3) machine-learning framework . -from the official encog website: "Encog is an open source Machine Learning fra
Deep Learning
46
A collection of machine learning algorithms for online linear classification written in Co...
Cl-Online-Learning A collection of machine learning algorithms for online linear classification written in Common Lisp. Implemented algorithms Binary
Natural Language Pro
727
Natural Language Processing in Clojure (opennlp)
Clojure library interface to OpenNLP - https://opennlp.apache.org/ A library to interface with the OpenNLP (Open Natural Language Processing) library
Deep Learning
5.9k
An open source python library for automated feature engineering
"One of the holy grails of machine learning is to automate more and more of the feature engineering process." ― Pedro Domingos, A Few Useful Things to
Deep Learning
4k
Fast parallel CTC.
In Chinese 中文版 warp-ctc A fast parallel implementation of CTC, on both CPU and GPU. Introduction Connectionist Temporal Classification is a loss funct
Deep Learning
597
Library for exploring and validating machine learning data
TensorFlow Data Validation TensorFlow Data Validation (TFDV) is a library for exploring and validating machine learning data. It is designed to be hig
Deep Learning
673
Use evolutionary algorithms instead of gridsearch in scikit-learn
sklearn-deap Use evolutionary algorithms instead of gridsearch in scikit-learn. This allows you to reduce the time required to find the best parameter
Deep Learning
20
Naive Bayesian Classifier written in APL
Naive Bayesian Classifier in APL © 2015-2016 Matthew Cunningham About This is a simple naive bayesian classifier to gain independent probabilistic ass
Deep Learning
10
Conjunto de scripts para treinar um Sistema de Recomendação Híbrido baseado nos algoritmos...
hybrid-rs-trainner Treine suas engines de recomendação with zero code! :) Sumário Sistemas de Recomendação Collaborative Filtering Content-Based Filte
Deep Learning
2.1k
Deequ is a library built on top of Apache Spark for defining "unit tests for data", which ...
Deequ - Unit Tests for Data Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large da
Deep Learning
409
Deep Anomaly Detection with Outlier Exposure (ICLR 2019)
Outlier Exposure This repository contains the essential code for the paper Deep Anomaly Detection with Outlier Exposure (ICLR 2019). Requires Python 3
Deep Learning
303
(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Dete...
SUOD: Accelerating Large-scare Unsupervised Heterogeneous Outlier Detection Deployment & Documentation & Stats Build Status & Coverage & Maintainabili
Deep Learning
6.9k
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and explorat...
What is Vaex? Vaex is a high performance Python library for lazy Out-of-Core DataFrames (similar to Pandas), to visualize and explore big tabular data
Deep Learning
5
R library for converting Apache Spark ML pipelines to PMML
Sparklyr2PMML R library for converting Apache Spark ML pipelines to PMML. Features This package provides R wrapper classes and functions for the JPMML
Deep Learning
144
Optimised tools for group-indexing operations: aggregated sum and more
numpy-groupies This package consists of a small library of optimised tools for doing things that can roughly be considered "group-indexing operations"
Data Analysis
82
Serverless Scientific Computing
numpywren Scientific Computing with Infinite Ram What is this? numpywren is scientific computing framework built on top of the serverless execution fr
Deep Learning
85
Python library for converting Apache Spark ML pipelines to PMML
PySpark2PMML Python library for converting Apache Spark ML pipelines to PMML. Features This package provides Python wrapper classes and functions for
Deep Learning
634
Bagua Speeds up PyTorch
Bagua is a deep learning training acceleration framework for PyTorch developed by AI platform@Kuaishou Technology and DS3 Lab@ETH Zürich. Bagua curren
Deep Learning
4.6k
Distributed Evolutionary Algorithms in Python
DEAP DEAP is a novel evolutionary computation framework for rapid prototyping and testing of ideas. It seeks to make algorithms explicit and data stru
Miscellaneous
9
Wordel: Wordle (aka Lingo) in Emacs
Wordel: Wordle (aka Lingo) in Emacs Install With straight.el (straight-use-package '(wordel :host github :repo "progfolio/wordel" :files (:defaults "w
Deep Learning
2.8k
PyBrain -- the Python Machine Learning Library
PyBrain -- the Python Machine Learning Library
Deep Learning
504
Bayesian inference in HSMMs and HMMs
Bayesian inference in HSMMs and HMMs This is a Python library for approximate unsupervised inference in Bayesian Hidden Markov Models (HMMs) and expli
Deep Learning
66
Class-imbalanced / Long-tailed ensemble learning in Python. Modular, flexible, and extensi...
Class-imbalanced / Long-tailed ensemble learning in Python. Modular, flexible, and extensible. | 模块化、灵活、易扩展的类别不平衡/长尾机器学习库
Miscellaneous
9.5k
Theano was a Python library that allows you to define, optimize, and evaluate mathematical...
Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently.
Deep Learning
16
python-timbl is a Python extension module wrapping the full TiMBL C++ programming interfac...
python-timbl is a Python extension module wrapping the full TiMBL C++ programming interface. With this module, all functionality exposed through the C++ interface is also available to Python scripts. Being able to access the API f
Deep Learning
102
Python Environment for Bayesian Learning
Pebl is a python library and command line application for learning the structure of a Bayesian network given prior knowledge and observations. Pebl in
Deep Learning
527
SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.
SciKit-Learn Laboratory This Python package provides command-line utilities to make it easier to run machine learning experiments with scikit-learn. O
Deep Learning
148
Neurolab is a simple and powerful Neural Network Library for Python
Neurolab Neurolab is a simple and powerful Neural Network Library for Python. Contains based neural networks, train algorithms and flexible framework
Deep Learning
1.5k
Spearmint Bayesian optimization codebase
Spearmint Spearmint is a software package to perform Bayesian optimization. The Software is designed to automatically run experiments (thus the code n
Deep Learning
26
Python implementation of cover trees, near-drop-in replacement for scipy.spatial.kdtree
This is a Python implementation of cover trees, a data structure for finding nearest neighbors in a general metric space (e.g., a 3D box with periodic
Deep Learning
802
Machine learning for NeuroImaging in Python
nilearn Nilearn enables approachable and versatile analyses of brain volumes. It provides statistical and machine-learning tools, with instructive doc
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