1243 Open source projects that are alternatives of or similar to Datamining

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

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

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL [email protected]

Code For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"

[UNMAINTAINED] Automated machine learning for analytics & production

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.

Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras

Debugging, monitoring and visualization for Python Machine Learning and Data Science

Notes for Deep Learning Specialization Courses led by Andrew Ng.

Curated list of Python resources for data science.

This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science. For Constant Updates Follow me in …

Multi-class confusion matrix library in Python

Statistical data visualization in Python

Tutorials and my solutions to the Udacity NLP Nanodegree

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

RSparkling: Use H2O Sparkling Water from R (Spark + R + Machine Learning)

基于深度学习的自动避障智能小车

Allstate Kaggle Competition ML Capstone Project

A Python package for gender classification.

Practice your skills with these ideas.

Roadmap to learn Data Science and related areas.

Implementation of GQN in PyTorch

Exercises for hierarchical clustering with Python 3 and scipy as Jupyter Notebooks

An R package to test for batch effects in high-dimensional single-cell RNA sequencing data.

Data visualisation addon for Blender

Measure and visualize machine learning model performance without the usual boilerplate.

learn code with tensorflow

A visualisation tool for the creation and analysis of graphs

A tool to monitor everything you want. Clean, simple, extensible and in one place.

Paper Reading

PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)

A sparsity aware and memory efficient implementation of "Attributed Social Network Embedding" (TKDE 2018).

Word2Vec models with Twitter data using Spark. Blog:

Tools to Design or Visualize Architecture of Neural Network

Wrap existing D code for use in Python, Excel, C#

Deploy a ML inference service on a budget in less than 10 lines of code.

Parser and database to index the terpene profile of different strains of Cannabis from online databases

tutorials made for biologists to learn deep learning

把极速检测器的门槛给我打下来make lightweight caffe-ssd great again

📢 Ready to learn or review your knowledge!

Materials for the "AI on Kubernetes" tutorial at O'Reilly AI SF 2018

Provides access to complex Bioinformatics software (even BioLinux!) in just one command.

The benchmark of ncnn that is a high-performance neural network inference framework optimized for the mobile platform

Deep Learning over PyTorch

Material for the EPFL master course "A Network Tour of Data Science", edition 2017.

An open-source platform for automating tasks using machine learning models

Telegram Data Clustering contest solution by Mindful Squirrel

Teaching materials in python at the @ENSAE

🎓 Jupyter notebooks from UFC data science course

The hybrid model combining stacked denoising autoencoder with matrix factorization is applied, to predict the customer purchase behavior in the future month according to the purchase history and user information in the Santander dataset.

A minimalist deep learning library in Javascript using WebGL + asm.js. Run convolutional neural network in your browser.

Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2

Carefully curated resource links for data science in one place

TSrepr: R package for time series representations

Data Analysis program and framework for materials science data analytics, based on the managing framework SIMPL framework.

🍧 A repository that contains courses I have taken on DataCamp

Course materials for Dartmouth Course: Storytelling with Data (PSYC 81.09).

VerticaPy is a Python library that exposes sci-kit like functionality to conduct data science projects on data stored in Vertica, thus taking advantage Vertica’s speed and built-in analytics and machine learning capabilities.

Actively curated list of awesome BI tools. PRs welcome!

dataCompareR is an R package that allows users to compare two datasets and view a report on the similarities and differences.