7608 Open source projects that are alternatives of or similar to Yabox

Amacımız Türkçe NLP literatüründeki birçok farklı sorunu bir arada çözebilen, eşsiz yaklaşımlar öne süren ve literatürdeki çalışmaların eksiklerini gideren open source bir yazım destekleyicisi/denetleyicisi oluşturmak. Kullanıcıların yazdıkları metinlerdeki yazım yanlışlarını derin öğrenme yaklaşımıyla çözüp aynı zamanda metinlerde anlamsal analizi de gerçekleştirerek bu bağlamda ortaya çıkan yanlışları da fark edip düzeltebilmek.

PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course

🐳📊🤓Cookiecutter template to launch an awesome dockerized Data Science toolstack (incl. Jupyster, Superset, Postgres, Minio, AirFlow & API Star)

This is Andrew NG Coursera Handwritten Notes.

Web scrapping and related analytics using Python tools

Visualizer for pandas data structures

Jupyter/IPython notebooks about evolutionary computation.

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

🚚 Agile Data Preparation Workflows made easy with dask, cudf, dask_cudf and pyspark

A Machine Learning API with native redis caching and export + import using S3. Analyze entire datasets using an API for building, training, testing, analyzing, extracting, importing, and archiving. This repository can run from a docker container or from the repository.

Road to Machine Learning

A community run, 5-day PyTorch Deep Learning Bootcamp

A jupyter notebook that provides analysis for StarCraft 2 replays

Tutorials and training material for the H2O Machine Learning Platform

a public domain dataset of EEG recordings for music imagery information retrieval

Datasets I have created for scientific summarization, and a trained BertSum model

Link Discovery Framework for Metric Spaces.

This is a repository for submitted contents of Qiita.

offical seesawfacenet pytorch implement, https://arxiv.org/abs/1908.09124

Keep your skills sharp by implementing basic algorithms and data structures

Reconstruction of three-dimensional porous media using generative adversarial neural networks

Machine learning and artificial intelligence

Online-Recurrent-Extreme-Learning-Machine (OR-ELM) for time-series prediction, implemented in python

Machine learning to classify Malicious (Spam)/Benign URL's

Solutions to Daily Coding Problem in Javascript

An PyTorch reimplementation of bottom-up-attention models

Converting a pretrained pytorch model to tensorflow

Applying transfer learning to a custom dataset by retraining Inception's final layer

Advanced Data Structures Implementation

Jupyter NoteBooks to get you boosted with the basics of python with hands-on-practice.

An extension for IPython/Jupyter that helps to use Fortran in your interactive session.

Deep Learning Specialization by Andrew Ng on Coursera.

Python/Jupyter notebooks for Volume 2 of "Deep Learning - From Basics to Practice" by Andrew Glassner

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

PyTorch implementation of residual gated graph ConvNets, ICLR’18

Fined grained classification On Car dataset

implementation of PersonLab(https://arxiv.org/abs/1803.08225) using TF-slim

Hands-On Data Science for Marketing, published by Packt

In case you want to contribute, ping on https://gitter.im/NITSkmOS/algo.

Code for computing interpolating / approximating thin plate splines.

A collection of algorithms and data structures

A Python package for building Bayesian models with TensorFlow or PyTorch

Automated Data Science and Machine Learning library to optimize workflow.

A place to collect resources shared bythe community of Intel® Edge AI Foundation course

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

A PyTorch implementation of "WaveFlow: A Compact Flow-based Model for Raw Audio"

A repository for sharing knowledge on Panel by HoloViz in order to build awesome analytics apps in Python

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.

Authors' implementation of DeepSpeech Distances.

Set of Jupyter Notebooks, along with datafiles, to get started with Scientific Computing in Astronomy

Machine Learning Toolkit for SEO

Visualizations and helpers to improve and debug machine learning models for Rasa Open Source

💥 Interactive and colorful 🎨 graph theory tutorials made using d3.js ⚡️

Lab files for Azure Machine Learning exercises

A series of Jupyter notebooks with Chinese comment that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.