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.

• autorank
Automated ranking of populations in a repeated measures experiment, e.g., to rank different machine learning approaches tested on the same data.

• keras-batchflow
Batch generation framework for Keras

• dbnd-test-scenarios
Machine Learning Orchestration

• dbnd-hdfs
Machine Learning Orchestration

• dbnd-gcp
Machine Learning Orchestration

• dbnd-docker
Machine Learning Orchestration

• dbnd-databricks
Machine Learning Orchestration

• dbnd-azure
Machine Learning Orchestration

• dbnd-aws
Machine Learning Orchestration

• dbnd-airflow-versioned-dag
Machine Learning Orchestration

• dbnd-airflow
Machine Learning Orchestration

• dbnd
Machine Learning Orchestration

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.

• torch_maml
Gradient checkpointing technique for Model Agnostic Meta Learning

• bayeso-benchmarks
Benchmarks for Bayesian optimization

• plot-utils
A Python library for elegant data visualization

• multiplex-plot
Multiplex: visualizations that tell stories

• clcell
OpenCL-accelerated cellular automata simulator

• emmo
Python reference API for the Europeean Materials & Modelling Ontology

• mlglass
MLglass: A Transparency with models

• keras-adf
Assumed Density Filtering (ADF) Probabilistic Networks

• ImageAug
Image augmentation for PyTorch

• dblue-stores
Dblue stores is an abstraction and a collection of clients to interact with storages.

• py-ml-utils
Machine learning utilities.

• pyevo
Package for applying evolutionary algorithms to various problem models.

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.

• torch-optimizer
pytorch-optimizer

• ML-APIs
A package for google ML_APIs.

• jupyter-pyfilesystem
Jupyter Notebook PyFilesystem Contents Manager

• grakel
A scikit-learn compatible library for graph kernels

• markovmeme
Command line tool for generating markov memes.

• codeart
Data visualizations with your own code.

• bigartm10
BigARTM: the state-of-the-art platform for topic modeling

• bigartm
BigARTM: the state-of-the-art platform for topic modeling

• pfl
A Federated Learning Framework Based on pytorch

• galaxylearning
A Federated Learning Package Based on pytorch

• gal
A Federated Learning Package Based on pytorch

• bmlx
BMLX is vairiant of bmlx for internal use for BIGO

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.

• mitdeeplearning
Official software labs for MIT Introduction to Deep Learning (http://introtodeeplearning.com)

• bert-qa
Question-Answering system using state-of-the-art pre-trained language models.

• Aboutn
An Art and Genetic Algorithms Exploration Package based on Russian Constructivism bidimensional graphic works, ideas and method;

• sage-numerical-backends-coin
COIN-OR backend for Sage MixedIntegerLinearProgram

• sage-numerical-backends-cplex
Cplex backend for Sage MixedIntegerLinearProgram

• data-fusion-sm
data fusion in python via statistical matching

• suod
An Acceleration System for Large Scale Unsupervised Anomaly Detection

• jupyter-conveyor
A toolset to accelerate Jupyter notebook workflows

• hhpy
hhpy – convenient data science

• item-based-recommender
Item based recommender

• fca-lazy-clf
Lazy binary classifier based on Formal Concept Analysis

• med2nlp
MED(Minimum Effective Dose) to NLP

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.

• qwgc
Graph classifier based on quantum walk

• MinkowskiEngine
Minkowski Engine, a Sparse Tensor Library for Neural Networks

• pyslurpers
Python slurpers package for simple XML, JSON, config, etc. processing

• dpipe
Declarative syntactic sugar for data piping.

• nlpts
A Text Summarization tool

• algokit
common utilities and algorithm

• open-space-toolkit-mathematics
Geometry, curve fitting, optimization.

• nlppipe
Latvian NLP Tool Pipeline

• storybro
A GPT-2 based AI assisted storytelling tool

• e3tools
Data Science Toolkit from E3Data

• deepmd-kit
A deep learning package for many-body potential energy representation and molecular dynamics

• dpgen
DPGen: The deep potential generator

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.

• regX-RICCARD
linearRegression

• ml-datasets
Machine Learning dataset loaders

• Macropodus
Macropodus: Tookit of Chinese Natural Language Processing

• pretools
Preparation tools for machine learning

• punditkit
PunditKit: A GUI for Scikit-Learn Models

• numerizer
Python module for converting natural language numbers into ints and floats.

• bnlearn
Python package for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.

• python-heideltime-krypton
Python wrapper for Heideltime library.

• xfmers
Quickly initialize bespoke Transformer models

• runai
Run:AI Python library

• robotframework-corerpahive
CoreRPAHive is a Robotic Process Automation library that allow the developer create RPA script easier and reduce complexity under robot script layer.

• reformer-lm
a Pytorch implementation of the Reformer network (https://…/forum?id=rkgNKkHtvB)

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.

• unittest-pyspark
Extension to unittest for pySpark

• optga
Framework to find out pareto-optimum inputs of your machine learning models

• neographviz
Graph display package for py2neo graphs forked from https://…/neo4j-jupyter

• hnet
Graphical Hypergeometric Networks

• shorttexts
hot topic knowledge shorttexts

• hp
Hyperparameters

• ifcalendar
In most time based statistical analysis, generating reports by month or week is a common practice. But the standard Georgian Calendar Months, have differences in each month and adding more concerns by generating in accurate analysis. IFC solves these challenges by having fixed months. In this package, we offer required tools to convert Georgian dates to IFC.

• sparse-dot-mkl
Intel MKL wrapper for sparse matrix operations

• ghidra-jython-kernel
Jupyter kernel for Ghidra’s Jython Interpreter

• expybox
Jupyter notebook toolbox for model interpretability/explainability

• KDNLP
kdNLP: Deep Learning Toolkit for NLP, developed by KDNLP Team

• chefboost
Lightweight Decision Tree Framework

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.

• bnlm
Bengali Language Model

• categorical-embedder
Categorical Embedder is a python package that let’s you convert your categorical variables into numeric via Neural Networks

• scikit-uplift
Classic approaches of Uplift modelling in scikit-learn style in python

• dataflow-cookiecutter
Command-line utility for creating Dataflow projects

• stuff-mining
Data Mining Tool

• gxdata
data prepare toolkit

• saqc
Data quality checking and processing framework

• senkuu
Deep Learning for beginner

• automatic-speech-recognition
Distill the Automatic Speech Recognition (TensorFlow)

• entropy-gpu
Entropy and K-L divergence on GPU via PyOpenCL

• keras-optimizer
Evolutionary Keras Hyperparameter Optimizer

• optevolver
Evolutionary parameter search for architecture and hyperparameters

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.

• rrev
A reverse text utility package

• spineapi
A simple machine learning inference library.

• slurm-gpustat
A simple SLURM gpu summary tool

• MLDToolkit
A text analysis tool.

• ai-graphics
AI Graphics Toolkit

• aisports
AISports Python wrapper

• paiutils
An artificial intelligence utilities package built to remove the delays of machine learning research.

• gym-shopping-cart
An OpenAI Gym for Shopping Cart Reinforcement Learning

• RobotFramework-PropertyFile
An utility package for exposing Java-style properties from property-files as variables in Robot Framework

• NlpToolkit-AnnotatedSentence
Annotated Sentence Processing Library

• flameapk
APK Deep Data Swiss Knife

• py-irt
Bayesian IRT models in Python

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.

• confusion-metrics
A collection of metrics for analysing confusion matrices

• dnfal
A deep learning-based library for real-time face analysis.

• gobang
A Gobang(also known as “Five in a Row” and “Gomoku”) game equipped with AlphaGo-liked AI.

• LGPy
A Linear Genetic Programming Library

• hypercluster
A package for automatic clustering hyperparameter optmization

• moopy
A package for Multi-Objective Optimization tools

• pyfsdb
A python implementation of the flat-file streaming database

• pypbl
A python library for preference based learning using pairwise comparisons.

• topicrankpy
A Python package to get useful information from documents using TopicRank Algorithm.

• thumoon
A python toolbox for hypergraph learning

• mushroom-rl
A Python toolkit for Reinforcement Learning experiments.

• bleu
A Python Wrapper to calculate standard BLEU scores for NLP