5921 Open source projects that are alternatives of or similar to Machinelearning

Predictive Maintenance using Pyspark

HLS Project of pp4fpgas - https://github.com/xupsh/pp4fpgas-cn

Lecture Notes for Linear Algebra Featuring Python

Artificial Intelligence app that detects diseases in plants using a deep learning model

Open-source implementation of Google Vizier for hyper parameters tuning

ResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Residual and UNet) models.

A Scala kernel for Jupyter

collaborative audio module for fast.ai

Code repo for optimizing distributions of molecules.

Unofficial implementation of Octave Convolutions (OctConv) in TensorFlow / Keras.

Introduction to Chemical Engineering Analysis

Created the contents of this repo originally for a workshop I gave at UCLA

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

Source material for Data Science for Telecom Tutorial at Strata Singapore 2015

Jupyter notebooks with exercises for the No bullshit guide to linear algebra.

This is the code for "Mathematcs of Machine Learning" by Siraj Raval on Youtube

Convolutional Neural Network based regression approach for estimating machinery's remaining useful life

Finding similar images in the Holidays dataset

To contain example scripts for different tools.

Demo for CVPR 2017 paper

Pytorch Implementation of Interaction Networks for Learning about Objects, Relations and Physics

電子書籍『仕事ではじめる機械学習』のサポートリポジトリです

Deep learning and Reinforcement learning lecture and course work

Google Colab (Jupyter) notebook to retrain Object Detection Tensorflow model with custom dataset.

NJU Master Course **Big Data Mining and Analysis**

Basic Cheat Sheet for Python (PDF, Markdown and Jupyter Notebook)

Template-free prediction of organic reaction outcomes

书籍：深度学习框架pytorch入门与实践

ALAD (Proceedings of IEEE ICDM 2018) official code

GCP Essentials for Bioinformatics Researchers

Source code about Python Development

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.

Python implementation of Deep Learning book

CubiCasa5k floor plan dataset

Breze with all the stuff.

Code and examples from Business Data Science

Rhythm Pattern music feature extractor by IFS @ TU-Vienna

Graph Neural Ordinary Differential Equations

This is a repository for submitted contents of Qiita.

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.

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

code for paper "Graph Structure of Neural Networks"

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

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

Deep Learning Food Classifier for iOS using Keras and Tensorflow

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

Core components of Python Spatial Analysis Library

机器学习相关

An PyTorch reimplementation of bottom-up-attention models

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

Fast and Easy Infinite Neural Networks in Python

Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms

A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)

Exercise Solutions for Reinforcement Learning: An Introduction [2nd Edition]