406 Open source projects that are alternatives of or similar to sdp

Lets Learn AI

A library that implements fairness-aware machine learning algorithms

Spark-Transformers: Library for exporting Apache Spark MLLIB models to use them in any Java application with no other dependencies.

zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.

Teach you how to implement machine learning algorithms

⚡ Lightning fast density estimation in Julia ⚡

A notebook for machine learning interview

https://machinelearning.wtf/ - An online glossary of machine learning terms.

machine learning practitioner， android and python

Continuously Learning Artificial Intelligence Rules Engine (Claire) for Smart Homes

All content related to machine learning from my blog

Genie: A Fast and Robust Hierarchical Clustering Algorithm (this R package has now been superseded by genieclust)

PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in order to provide not just the best set of features but also the best combination of features

Fake News Detection Final Year College Project with Project Report, PPT, Code, Research Paper and Documents.

All the code for a series of Medium articles on Approximate Nearest Neighbors

Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.

Genie++ Fast and Robust Hierarchical Clustering with Noise Point Detection - for Python and R

Taller SparkR para las Jornadas de Usuarios de R

Facial-Expression-Recognition using tensorflow

Examples how MLJAR can be used

This is a 'hands-on' tutorial for the RIKEN International School on Data Assimilation (RISDA2018).

A comparison between humans, neuroevolution and multilayer perceptrons playing Flapy Bird implemented in Python

Analysing the content of an E-commerce database that contains list of purchases. Based on the analysis, I develop a model that allows to anticipate the purchases that will be made by a new customer, during the following year from its first purchase.

Tensorflow Implementation of Relation Networks for the bAbI QA Task, detailed in "A Simple Neural Network Module for Relational Reasoning," [https://arxiv.org/abs/1706.01427] by Santoro et. al.

This is a Human Attributes Detection program with facial features extraction. It detects facial coordinates using FaceNet model and uses MXNet facial attribute extraction model for extracting 40 types of facial attributes. This solution also detects Emotion, Age and Gender along with facial attributes.

A collection of Methods and Models for various architectures of Artificial Neural Networks

We got a stew going!

shell script for openCV installation and configuration in linux based system. Most easy way to configue openCV, you only need to run opencv.sh shell file.

Emerging Technologies Project - 4th Year 2017

A Data science challenge - "Mekktronix Sales Forecasting" organised by ZS through Hackerearth platform. Rank: 223 out of 4743.

This repository contains notes and projects of Data scientist track from dataquest course work.

The easiest way to optimize Facebook Ads using Upper Confidence Bound Algorithm. 💻

This a JavaScript Library for the Numerical Javascript and Machine Learning

Optimizing a Wedding Reception Seating Chart Using a Genetic Algorithm

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Using Kalman Filter to Predict Corona Virus Spread

Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"

Implementation of the reweighted wake-sleep machine learning algorithm

🙌Kart of 210+ projects based on machine learning, deep learning, computer vision, natural language processing and all. Show your support by ✨ this repository.

Public home of pycorels, the python binding to CORELS

A few TensorFlow techniques I'm saving for future reference.

A quick introduction to all most important concepts of Probability Theory, only freshman level of mathematics needed as prerequisite.

An intuitive implementation of spectral clustering on matlab

GAN in Tensorflow to be run via Linux command line

Code for reproducing results in the sliced score matching paper (UAI 2019)

Tensor Flow implementation for Android

Inspired by the neural style algorithm in the computer vision field, we propose a high-level language model with the aim of adapting the linguistic style.

PyTorch to Keras model convertor

This project demonstrates how to run and save predictions locally using exported tensorflow estimator model

O'Reilly Book: [Data Algorithms with Spark] by Mahmoud Parsian

Darwin C++ and Python Machine Learning Framework for Cyber Security

Examples of using Neptune to keep track of your experiments (maintenance only).

anomaly detection with anomalize and Google Trends data

Fine grained visual recognition tensorflow baseline on CUB, Stanford Cars, Dogs, Aircrafts, and Flower102.

Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead

A repo to explain algorithm in machine learning with CHINESE

A Python package built on sklearn for running a series of classification Algorithms in a faster and easier way.

A clean room implementation of Structured Volume Sampling by Bowles and Zimmermann in Unity

How to train a Tensorflow face object detection model

A PureScript, browser-based implementation of simple linear regression.