8060 Open source projects that are alternatives of or similar to Tensorflow Book

A curated list of dedicated resources and applications

R package to interface with OpenML

MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope)

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

Build a CNN network to predict 3D bounding box of car from 2D image.

Matlab library for gradient descent algorithms: Version 1.0.1

An introductory statistics course for social scientists, using Stata

Beta Machine Learning Toolkit

This repository is a recommended track, designed to get started with Machine Learning.

This repository will contain all the stuffs required for beginners in ML and DL do follow and star this repo for regular updates

D-Lab's 6 hour introduction to machine learning in R. Learn the fundamentals of machine learning, regression, and classification, using tidymodels in R.

ugtm: a Python package for Generative Topographic Mapping

Loan Application Data Analysis

Interactive Visual Machine Learning Demos.

In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.

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

Vectorized Machine Learning in Python 🐍 From Scratch

Online machine learning methods

Efficient Learning of Augmentation Policy Schedules

Machine Learning models from scratch with a better visualisation

By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.

机器学习-Coursera-吴恩达- python+Matlab代码实现

A Python package to build predictive linear and logistic regression models focused on performance and interpretation

InstantDL: An easy and convenient deep learning pipeline for image segmentation and classification

A course in reinforcement learning in the wild

A Hidden Markov Model implemented in Javascript

In this project I aim to apply Various Predictive Maintenance Techniques to accurately predict the impending failure of an aircraft turbofan engine.

Misc Statistics and Machine Learning codes in R

This repo contains regression and classification projects. Examples: development of predictive models for comments on social media websites; building classifiers to predict outcomes in sports competitions; churn analysis; prediction of clicks on online ads; analysis of the opioids crisis and an analysis of retail store expansion strategies using…

Variational Bayes linear and logistic regression

Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)

An implementation of multivariate projection pursuit regression and univariate classification

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

An example project that predicts risk of credit card default using a Logistic Regression classifier and a 30,000 sample dataset.

Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking

Generalized Analog Regression Downscaling (GARD) code

Open-source project hosted at https://makeuseofdata.com to crowdsource a robust collection of notes related to data science (math, visualization, modeling, etc)

MiraPy: A Python package for Deep Learning in Astronomy

Various methods for generating synthetic data for data science and ML

A simple movie recommendation engine

Minimalistic Multiple Layer Neural Network from Scratch in Python.

Vídeos e códigos do Universo Discreto ensinando o fundamental de Machine Learning em Python. Para mais detalhes, acompanhar a playlist listada.

Regression, Scrapers, and Visualization

tiny fast portable real-time deep neural network for regression and classification within 50 LOC.

The main aim of this project is to tell that the certain project will be successful or it will fail by applying machine learning algorithm. In this , LOGISTIC REGRESSION is used to determine the success of the project by splitting the data into training and testing models and predicting a successful one.

Six snippets of code that made deep learning what it is today.

tensorflow implementation of Grad-CAM (CNN visualization)

PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..

RAD: Reinforcement Learning with Augmented Data

Quiz & Assignment of Coursera

Simple and comprehensive tutorials in TensorFlow

DrQ: Data regularized Q

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

Multiple Regression Package for PHP

Python Machine Learning Algorithms

Velocity in deep-learning research

Applying Reinforcement Learning in Quantitative Trading

Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow