1217 Open source projects that are alternatives of or similar to machine-learning-course

https://dodiku.github.io/audio_noise_clustering/results/ ==> An experiment with a variety of clustering (and clustering-like) techniques to reduce noise on an audio speech recording.

Code for determining optimal number of clusters for K-means algorithm using the 'elbow criterion'

ML-AI Community | Open Source | Built in Bharat for the World | Data science problem statements and solutions

Final project of IBM's course https://www.coursera.org/learn/machine-learning-with-python on coursera

Deep Learning using Rectified Linear Units (ReLU)

Solution of the Titanic Kaggle competition

(Minimally) implements SimCLR (https://arxiv.org/abs/2002.05709) in TensorFlow 2.

Fuzzy Hash calculated from import API of PE files

Loan Application Data Analysis

A Python 3 framework for Reservoir Computing with a scikit-learn-compatible API.

Solve many kinds of least-squares and matrix-recovery problems

DDC-Outlier: Preventing medication errors using unsupervised learning

Unsupervised Representation Learning for Singing Voice Separation

TensorFlow-based implementation of (Gaussian) Mixture Model and some other examples.

โค้ดประกอบเนื้อหา Python Machine Learning เบื้องต้น [2020]

A method to mine beyond-pairwise relationships using Min-Hashing for large-scale pattern discovery

A catkin workspace in ROS which uses DBSCAN to identify which points in a point cloud belong to the same object.

JupyterLab extension that enables monitoring launched Apache Spark jobs from within a notebook

ADENINE: A Data ExploratioN PipelINE

machine_learning_examples

Digital Cell Sorter (DCS): single cell RNA-seq analysis toolkit. Documentation:

Urbica React Cluster Component for Mapbox GL JS

Project work and Assignments for Machine learning specialization course on Coursera by University of washington

Predicting Google’s stock price using regression

A Streamlit application to play with machine learning models directly from the browser

Detect common phrases in large amounts of text using a data-driven approach. Size of discovered phrases can be arbitrary. Can be used in languages other than English

Tensorflow implementation of "Deep Multimodal Subspace Clustering Networks"

Java implementation for DBSCANSD, a trajectory clustering algorithm.

No description or website provided.

This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip Chakraborty, Aritra Roy Gosthipaty and Sayak Paul.

📈 Click-Through Rate Prediction using Logistic Regression and Tree Algorithms

[EMNLP 2021] Mirror-BERT: Converting Pretrained Language Models to universal text encoders without labels.

Proto Actor - Ultra fast distributed actors for Go, C# and Java/Kotlin

Estimation and inference from generalized linear models using explicit and implicit methods for bias reduction

A lightweight data processing framework for Apache Spark

DoubleML - Double Machine Learning in Python

Machine Learning in .NET Core.

Sentiment Analysis & Topic Modeling with Amazon Reviews

Machine Learning models from scratch with a better visualisation

Python implementation of AutoPlait (SIGMOD'14) without smoothing algorithm. NOTE: This repository is for my personal use.

Object detector from HOG + Linear SVM framework

Material for the MASH course on introduction to scikit-learn

Apache Spark for data engineers

Boilerplate for PySpark on Cloud Kubernetes

NYC scikit-learn sprint (Sep 2018)

An efficient implementation of Partitioned Label Trees & its variations for extreme multi-label classification

Reinforcement learning (RL) implementation of imperfect information game Mahjong using markov decision processes to predict future game states

도서 "[개정판] 파이썬 라이브러리를 활용한 머신 러닝"의 주피터 노트북과 코드입니다.

📈 Useful notes and personal collections on statistics.

Data validation library for PySpark 3.0.0

SSH distribution for erlang

Using machine learning libraries to analyze NBA data

Generate beautiful documentation for your data pipelines in markdown format

Source code for the MorphoCluster application described in Schroeder et al. 2020

Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales

Process and Analyze Mouse-Tracking Data

Using Computer with your Statistics Major Course

Quora Kaggle Competition : Natural Language Processing using word2vec embeddings, scikit-learn and xgboost for training

Dockerize and deploy machine learning model as REST API using Flask

This project will pull past game data from api-football, and use these statistics to predict the outcome of future premier league matches through machine learning.