Scanning all new published packages on PyPI I know that the quality is often quite bad. I try to filter out the worst ones and list here the ones which might be worth a look, being followed or inspire you in some way.

• propythia
propythia – automated platform for the classification of peptides/proteins using machine learning

• pygobnilp
Bayesian network learning with the Gurobi MIP solver

• pystospa
A python binding of C++ package for stochastic simulations of spatially extended systems

• py-synthpop
Python implementation of the R package synthpop

• spacy_ann
spaCy ANN Linker, a pipeline component for generating spaCy KnowledgeBase Alias Candidates for Entity Linking.

• streamsx.wml
Watson Machine Learning online scoring integration in IBM Streams topology applications

• textbrewer
PyTorch-based knowledge distillation toolkit for natural language processing tasks

• gpflow-old
Gaussian process methods in tensorflow

• gpflowopt-master
Bayesian Optimization with GPflow

• minibatch
Python stream processing for humans

• nbeats-forecast


• ontoutils
A collection of utility scripts mainly for translating content from Excel spreadsheets into OWL ontologies

Scanning all new published packages on PyPI I know that the quality is often quite bad. I try to filter out the worst ones and list here the ones which might be worth a look, being followed or inspire you in some way.

• BinaryTimeseries
A binary timeseries storage format, where the time axis is given via an expression.

• bintexttools
Tools for Binary and Text data.

• dbman
A tool for generating data and managing relational databases.

• decision-analysis
Package for Multiple Objective Decision Analysis

• ds-pkg
A Data Science project structure pip package

• eisen-core
Eisen is a collection of tools to train neural networks for medical image analysis

• experiment-utils
Helpers utils for manage and track experiments.

• fairensics
A library for fair machine learning.

• flowetl
FlowETL is a collection of special purposes Airflow operators and sensors for use with FlowKit.

• jupyter-module-loader
A python package that allows importing Jupyter notebooks as python modules

• linalgo
Python library for Natural Language Processing supporting the open annotation standard

• nbbinder
Generates a navigable book-like structure to a collection of jupyter notebooks

Scanning all new published packages on PyPI I know that the quality is often quite bad. I try to filter out the worst ones and list here the ones which might be worth a look, being followed or inspire you in some way.

• pycuGMRES
Fast CUDA C++ GMRES implementation for Toeplitz-like (Toeplitz, Hankel, Circulant) matrices and mixed (combinations of Diagonal ones and Toeplitz-like ones) matrices. We propose implementations of the Generalized Minimal Residual Method (GMRES) for solving linear systems based on dense, Toeplitz or mixed matrices. The software consists of a python module and a C++ library. The mixed matrices consist of the sum of the diag- onal and the Toeplitz matrices. The GMRES solver is parallelized for running on NVIDIA GPGPU accelerator. We report on the efficiency of the parallelization method applying GMRES to the Helmholtz linear system based on the use of Green’s Function Integral Equation Method (GFIEM) for computing electric field distribution in the design domain.

• regtools
High-level Regression Utilities

• robotframework-sqless
robotframework-sqless is a SQL abstraction library for Robot Framework

• sightseer
State-of-the-art Computer Vision and Object Detection for TensorFlow.

• snare-ml
Scorebased Neural Architecture REduction

• spaceopt
Search space optimization via gradient boosting regression

• teardrop
A Python algorithms used to perform machine learning.

• tenseal
A Library for Homomorphic Encryption Operations on Tensors

• tinymlgen
Generate C code for microcontrollers from Tensorflow models

• ADCT
A python package capable of performing and illustrating a few clustering methods.

• atspy
Automated Time Series in Python

• banet
A deep learning approach for mapping and dating burned areas using temporal sequences of satellite images

Scanning all new published packages on PyPI I know that the quality is often quite bad. I try to filter out the worst ones and list here the ones which might be worth a look, being followed or inspire you in some way.

• chitra
Library for creating data input pipeline in pure Tensorflow 2.x

• cimren-cvrptw-optimization
CVRPTW Optimization Models

• dgcnn
TensorFlow 2 implementation of Deep Graph Convolutional Neural Networks.

• DLStudio
An early version of an educational module that is being developed to make it easier to experiment with different deep learning networks in PyTorch

• docnetdb
A pure Python document and graph database engine

• fdlsgm
FDLSGM: Fast Directed Line Segment Grouping Method

• lsml
Level set machine learning for image segmentation

• mathdocpy
A markdown extension for mathematical documents.

• ml-workflow
Workflow tools for pytorch and ignite

• mogptk
Multi-Output Gaussian Process ToolKit

• mrrt.nufft
Non-uniform FFT in 1D, 2D and 3D for CPU and GPU (CUDA)

• pdf2textlib
A package to extract text from PDF

Scanning all new published packages on PyPI I know that the quality is often quite bad. I try to filter out the worst ones and list here the ones which might be worth a look, being followed or inspire you in some way.

• botsic
Creates bots

• carte
Carte is a flexible, extensible reverse-geocode library.

• chickadee
Yet another GeoIP resolution tool.

• genex
This package is a General Exploration System that implements DTW in exploring time series

• maccabee
Causal ML benchmarking and development tools

• maml
maml is a machine learning library for materials science.

• myfm
Yet another factorization machine

• niklibset-101703371
Library for Data Analysis and Visualization

• oarphpy
A collection of Python utils with an emphasis on Data Science

• tcdt
Implementation of a Time-Changing Decision Tree classifier

• BayNet
(another) Python Bayesian Network library

• brnolm
A language modeling toolkit

Scanning all new published packages on PyPI I know that the quality is often quite bad. I try to filter out the worst ones and list here the ones which might be worth a look, being followed or inspire you in some way.

• reslackbot
A simple chat bot for Slack

• torchserve
TorchServe is a tool for serving neural net models for inference. TorchServe (PyTorch mdoel server) is a flexible and easy to use tool for serving deep learning models exported from PyTorch. Use the TorchServe CLI, or the pre-configured Docker images, to start a service that sets up HTTP endpoints to handle model inference requests.

• wai.tfutils
Library with utility functions to reduce amount of code for making predictions with TensorFlow.

• codeprep
A toolkit for pre-processing large source code corpora

• convexplore
A library to explore, explain and debug convolutional neural networks (CNNs) with fastai.

• DeePyMoD
DeePyMoD is a PyTorch-based implementation of the DeepMoD algorithm for model discovery of PDEs.

• jk-tokenizingparsing
This python module provides basic classes for tokenizing and parsing.

• jk-xmlparser
This python module parses XML (and HTML) files.

• kot1
A thin wrapper of the openweatherapi for easy access to hourly weather forecast data.

• md4c
Markdown parsing.

• mead-baseline
Strong Deep-Learning Baseline algorithms for NLP

• parallel-ml
Parallel ML utilities (GPU or CPU) that I can’t find anywhere else

Scanning all new published packages on PyPI I know that the quality is often quite bad. I try to filter out the worst ones and list here the ones which might be worth a look, being followed or inspire you in some way.

• DISTS-pytorch
DISTS Metric

• dproc
A convenient data flow to preprocess data using metadata.

• giotto-tda
Toolbox for Machine Learning using Topological Data Analysis.

• gitmiller
A tool to run a Jupyter Notebook from a (partial) Github repository.

• gmat
Genomic Multivariate Analysis Tools

• GPy-ABCD
Basic implementation with GPy of an Automatic Bayesian Covariance Discovery (ABCD) system

• hbp-neuromorphic-platform
Client software for the Human Brain Project Neuromorphic Computing Platform

• mvtsdata-toolkit
A Toolkit for Multivariate Time Series Data

• optbinning
OptBinning: The Python Optimal Binning library. The optimal binning is the optimal discretization of a variable into bins given a discrete or continuous numeric target. OptBinning is a library written in Python implementing a rigorous and flexible mathematical programming formulation to solving the optimal binning problem for a binary, continuous and multiclass target type, incorporating constraints not previously addressed.

• pyDMNrules
An implementation of DMN in Python. DMN rules are read from an Excel workbook

• quickregress
Provides a low-effort wrapper for sklearn’s polynomial regression

• recursive-sgd
Train a neural network – with recursion!

Scanning all new published packages on PyPI I know that the quality is often quite bad. I try to filter out the worst ones and list here the ones which might be worth a look, being followed or inspire you in some way.

• pandas-express
A collection of Data Science helper functions

• pyatom
Python Algebraic Toolbox for Optimization Modeling

• python-graphql-client
Python GraphQL Client

• ramp-workflow
Toolkit for building analytics workflows on the top data science ecosystem

• snovalleyai-piecewise-polynomial-layers
Piecewise polynomial layer for tensorflow

• topsis-yash-saxena
A Python pip package to apply topsis approach to rank the entries in a dataset

• wide-and-deep
Use wide and deep model to do multi-classification tasks.

• xain-sdk
XAIN is an open source framework for federated learning.

• ArabicPreProcessing
Arabic PreProcessing Functions that must applied before run any ML model.

• axisproj
Axis-Aligned Decomposition of Linear Projections.

• CozmoAI
Adding AI chat and voice command functionality to Cozmo robot.

• dfviewer
A data view tool for pandas data frames working on Jupyter Notebook or IPython.

Scanning all new published packages on PyPI I know that the quality is often quite bad. I try to filter out the worst ones and list here the ones which might be worth a look, being followed or inspire you in some way.

• bayinf
Bayesian Inference

• cbrecommender
Library for implementing Content-Based Recommendation System

• cimren-wkmeans-geo
Weighted KMeans Clustering for Geolocational Problem

• cognite-forge-template
Automation of software used for data science in Cognite, including Databricks, PowerBI, Git and Grafana

• dj-DoCodeCarga
Manage DataBase Models Easy.

• intelmq-webinput-csv
This is a Flask-based web interface allowing the user to insert data into intelmq’s pipelines interactively with preview from the parser.

• ITMO-FS
Python Feature Selection library from ITMO University

• jill
Julia Installer 4 Linux(and MacOS) – Light

• mapbook
Windows Manager for Jupyter Notebook

• mchains


• metaai
Library of Meta Learning

• numpy-unit
A package providing an unit system for numpy multidimensionnal arrays.

Scanning all new published packages on PyPI I know that the quality is often quite bad. I try to filter out the worst ones and list here the ones which might be worth a look, being followed or inspire you in some way.

• GameQLearning
A library which makes it simple to build Deep Learning on games

• jk-temporary
Collection of utility functions and classes to manage temporary data.

• pytorch-pipeline
Simple ETL Pipeline for PyTorch

• QLearnGaming
A library which makes it simple to build Deep Learning on games

• tf_helpers
A collection of useful functions for TensorFlow for training and visualization.

• tid-gradient-boosting-model
Gradient boosting regression model from Train In Data.

• tid-regression-model
Regression model for using in the Train In Data online course “Deployment of Machine Learning Models”.

• timingdiagram-alkasm
Temporal boolean algebra.

• tranfort
Transformer for Tabular Data Learning

• vkhanduja
TOPSIS for MCDM

• vowcon-removal-helper
a collection of data science helper functions

• batching
Batching is a set of tools to format data for training sequence models