581 Open source projects that are alternatives of or similar to Protr

This repository contains the code related to Natural Language Processing using python scripting language. All the codes are related to my book entitled "Python Natural Language Processing"

Automatic feature engineering using Generative Adversarial Networks using TensorFlow.

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

Feature engineering package with sklearn like functionality

Automatic feature engineering using deep learning and Bayesian inference using TensorFlow.

A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.

There are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.

Top 5th percentile solution to the Kaggle knowledge problem - Bike Sharing Demand

This is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation

This repository consist of a 50-day program. All the statistics required for the complete understanding of data science will be uploaded in this repository.

A miniature lisp-like language for querying JSON-like structures. Tuned for clientside ML feature extraction.

DeltaPy - Tabular Data Augmentation (by @firmai)

An intuitive library to extract features from time series

Molecular informatics toolkit with a comprehensive integration of bioinformatics and cheminformatics tools for drug discovery.

Flexible time series feature extraction & processing

A collection of non-residential buildings for performance analysis and algorithm benchmarking

Use advanced feature engineering strategies and select best features from your data set with a single line of code.

Stock for Deep Learning and Machine Learning

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Data transformations for the ML era

Fast k-Nearest Neighbors Classifier for Large Datasets

A curated list of resources dedicated to Feature Engineering Techniques for Machine Learning

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

A robust model for quantitative comparison of ChIP-Seq data sets.

Javascript full-stack framework for Big Data visualisation and analysis

Simple TF IDF Library

A Python package for fast operations on 1-dimensional genomic signal tracks

🐣 locally query the ncbi taxonomy

💬 SpeechPy - A Library for Speech Processing and Recognition: http://speechpy.readthedocs.io/en/latest/

A collection of publications on comparison of high-throughput sequencing technologies.

Simultaneous detection of SNPs and Indels using a 16-genotype probabilistic model

Robust, flexible and resource-efficient pipelines using Go and the commandline

Data intensive science for everyone.

Toolkit for processing sequences in FASTA/Q formats

课题组每周研讨会

UNCURL is a tool for single cell RNA-seq data analysis.

memory efficient, fast & precise taxnomomic classification system for metagenomic read mapping

Audio feature extraction for JavaScript.

A Python wrapper for Kaldi

Efficient variant-call data storage and retrieval library using the TileDB storage library.

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

Aggregate results from bioinformatics analyses across many samples into a single report.

🐟 A streaming ETL for fish

A wrapper for the EnsEMBL REST API

Scalable genomic data analysis.

Kaggle：Quora Question Pairs, 4th/3396 (https://www.kaggle.com/c/quora-question-pairs)

A large scale feature extraction tool for text-based machine learning

A plotly.js React component from Plotly 📈

Feature exploration for supervised learning

Snakemake-based workflow for detecting structural variants in WGS data

Seven Bridges API Client, CWL Schema, Meta Schema, and SDK Helper in R

Single-Cell Analysis in Python. Scales to >1M cells.

Fast & accurate alignment of barcoded short-reads

A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!)

Scientific workflow engine designed for simplicity & scalability. Trivially transition between one off use cases to massive scale production environments

Python and C++ code for reading and writing genomics data.

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

A full spaCy pipeline and models for scientific/biomedical documents.

(No maintenance) Detect gene fusion directly from raw fastq files