370 Open source projects that are alternatives of or similar to Snapatac

A machine learning toolkit dedicated to time-series data

An extensive machine learning library, made from scratch (Python).

Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

The standard package for machine learning with noisy labels, finding mislabeled data, and uncertainty quantification. Works with most datasets and models.

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

MATLAB library for non-negative matrix factorization (NMF): Version 1.8.1

sources for daal4py - a convenient Python API to oneDAL

Log Anomaly Detection - Machine learning to detect abnormal events logs

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

A curated list of applied machine learning and data science notebooks and libraries across different industries.

📊 Naive Bayes classifier for JavaScript

A PureScript, browser-based implementation of LDA topic modeling.

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

Library for implementing reservoir computing models (echo state networks) for multivariate time series classification and clustering.

A repository for setting up a RNAseq workflow

UGENE is free open-source cross-platform bioinformatics software

The Cutest Deep Learning Framework which is also a wonderful Declarative Language

An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)

最全的中文版深度学习资源索引，包括论文，慕课，开源框架，数据集等等

The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.

The "Python Machine Learning (1st edition)" book code repository and info resource

A simply budget app that predicts where the expenses are being made

A fast xgboost feature selection algorithm

A repo with tutorials for algorithms from scratch

Python library to parse, format, validate, normalize, and map sequence variants. `pip install hgvs`

AIXIjs - General Reinforcement Learning in the Browser

🤖 Dev tools to reliably understand text and automate conversations. Built-in NLU. Connect & deploy on any messaging channel (Slack, MS Teams, website, Telegram, etc).

🤖 NanoNeuron is 7 simple JavaScript functions that will give you a feeling of how machines can actually "learn"

Python package containing all custom layers used in Neural Networks (Compatible with PyTorch, TensorFlow and MegEngine)

A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)

A tool to circularize genome assemblies

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

The repository provides usefull python scripts for ML and data analysis

Rapid large-scale prokaryote pan genome analysis

Collection of lectures and lab lectures on machine learning and deep learning. Lab practices in Python and TensorFlow.

A high performance implementation of HDBSCAN clustering.

Lending Club Loan data analysis

Automatic Filtering, Trimming, Error Removing and Quality Control for fastq data

machine learning

StellarGraph - Machine Learning on Graphs

Learning to create Machine Learning Algorithms

A Repository to store implementation of some of the famous Data Structures and Algorithms (mainly in C/C++/Java/Python) for everyone to learn and contribute.

Stochastic Delta Rule implemented in Pytorch on DenseNet

Data Structures and Algorithms implemented In Python, C, C++, Java or any other languages. Aimed to help strengthen the concepts of DS&A. Give a Star 🌟 if it helps you.

A collection of scripts and notes related to genomics and bioinformatics

A script in python to organize your images by similarity.

Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms

A simple machine learning framework written in Swift 🤖

Reference implementation of the paper VERSE: Versatile Graph Embeddings from Similarity Measures

cuML - RAPIDS Machine Learning Library

Antimicrobial Resistance Identification By Assembly

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

A curated list of almost all machine learning algorithms and deep learning algorithms grouped by category.

Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.

Artemis is a free genome viewer and annotation tool that allows visualization of sequence features and the results of analyses within the context of the sequence, and its six-frame translation

This repository contains algorithms written in MATLAB/Octave. Developing algorithms in the MATLAB environment empowers you to explore and refine ideas, and enables you test and verify your algorithm.

Launch machine learning models into production using flask, docker etc.

A day to day plan for this challenge. Covers both theoritical and practical aspects

Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means

Machine Learning Concepts with Concepts