6097 Open source projects that are alternatives of or similar to Machine Learning

Data Science Notebook on a Classification Task, using sklearn and Tensorflow.

An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.

Object classification with CIFAR-10 using transfer learning

Predict Cryptocurrency Price with Deep Learning

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

computer vision learning, include python machine learning action; computer vision based on deep learning ;coursera deeplearning.ai and other cv learning materials collect ...

Udacity Self-Driving Car Engineer Nanodegree. Project: Vehicle Detection and Tracking

mlmodels : Machine Learning and Deep Learning Model ZOO for Pytorch, Tensorflow, Keras, Gluon models...

Building classifiers using cancer transcriptomes across 33 different cancer-types

主要是爬虫与数据分析项目总结，外加建模与机器学习，模型的评估。

A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book

Repository for the paper "Automated Hate Speech Detection and the Problem of Offensive Language", ICWSM 2017

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

Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.

This repository consists of all my Machine Learning Projects.

Materials for the course of machine learning at Imperial College organized by Yandex SDA

从零基础开始机器学习之旅

Machine Learning University: Accelerated Natural Language Processing Class

📢 Ready to learn or review your knowledge!

This repository tracks the spread of the novel coronavirus, also known as SARS-CoV-2. It is a contagious respiratory virus that first started in Wuhan in December 2019. On 2/11/2020, the disease is officially named COVID-19 by the World Health Organization.

Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.

Machine Learning University: Accelerated Tabular Data Class

Predicting the probability that a diagnosed breast cancer case is malignant or benign based on Wisconsin dataset

Solution to Kaggle - Web Traffic Time Series Forecasting

Stock price trend analysis using Fourier transform

In-class exercises for Deep Learning course at NYC Data Science Academy

Particle Filter Implementations in Python and C++, with lecture notes and visualizations

Various experiments on the [Fashion-MNIST](https://github.com/zalandoresearch/fashion-mnist) dataset from Zalando

POI2Vec: Geographical Latent Representation for Predicting Future Visitors

Ensemble Machine Learning Cookbook, published by Packt

Using NLTK to run an analysis on the Harry Potter corpus - different versions of this talk were given at Codeland in NYC and DjangoCon US in San Diego in 2018.

📙 HOTTBOX: Higher Order Tensors ToolBOX. Tutorials

Alpine Container for Machine Learning

gradient based training of Quantum Circuit Born Machine

Forecasting Uber demand in NYC neighborhoods

High-throughput gene to knowledge mapping through massive integration of public sequencing data.

Pretrained neural networks for UK Biobank brain MRI images. SFCN, 3D-ResNet etc.

ECON 5253: Data Science for Economists, University of Oklahoma (Spring 2019)

Reliably download millions of images efficiently

A repository of technical terms and definitions. As flashcards.

Deep Hedging Demo - An Example of Using Machine Learning for Derivative Pricing.

Chatbot based on Rasa Framework

Kaggle Competition notebooks

Notebooks to accompany the blog posts about the 2nd place Kaggle RSNA winners: https://github.com/darraghdog/rsna

AI Generated Tees

Projects for Udacity's Machine Learning Engineer Nanodegree

Dockerfile of Jupyter (IPython notebook) and IOCaml (OCaml kernel) with libraries for data science and machine learning

Jupyter magics and kernels for working with remote Spark clusters

Preparatory Materials, Self-guided Learning, and Project Management for Neuromatch Academy activities

Codebase for "Demystifying Black-box Models with Symbolic Metamodels", NeurIPS 2019.

Kaggle에서 진행하는 경진대회의 코드를 올려둔 공간입니다.

This repository contains the code for the paper "An unexpectedly large count of trees in the western Sahara and Sahel".

DeepLearning.AI TensorFlow Developer Professional Certificate Specialization

ML.NET Workshop to predict car sales prices

JULYEDU PyTorch Course

Library to plot integer sets and maps