6163 Open source projects that are alternatives of or similar to Deep Learning From Scratch

Deep Learning From Scratch

Fast and Easy Infinite Neural Networks in Python

My workshop on machine learning using python language to implement different algorithms

A collection of all projects pertaining to different layers in the SDC software stack

In this part, I've introduced and experimented with ways to interpret and evaluate models in the field of image. (Pytorch)

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Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

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Machine Learning Lectures at the European Space Agency (ESA) in 2018

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Collection of various implementations and Codes in Machine Learning, Deep Learning and Computer Vision ✨💥

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Implementation of ews weight constraint mentioned in recent Deep Mind paper: http://www.pnas.org/content/early/2017/03/13/1611835114.full.pdf

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My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge.

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Lesson material on data science and machine learning topics/concepts

Python code for common Machine Learning Algorithms

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Plain python implementations of basic machine learning algorithms

Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

Code for Tensorflow Machine Learning Cookbook

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Google Street View House Number(SVHN) Dataset, and classifying them through CNN

The implementation of Relativistic average GAN with Keras

I will update this repository to learn Machine learning with python with statistics content and materials

PyTorch tutorials A to Z

Real-time Number Recognition using Apple's CoreML 2.0 and MNIST -

⭐️ Univariate Linear Regression with Gradient Descent in JavaScript (Vectorized)

Matlab library for gradient descent algorithms: Version 1.0.1

Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.

Machine Learning Concepts with Concepts

Minimalistic Multiple Layer Neural Network from Scratch in Python.

Data science teaching materials

Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.

Gradient based hyperparameter optimization & meta-learning package for TensorFlow

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

General Assembly's 2015 Data Science course in Washington, DC

Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).

Çeşitli kütüphaneler kullanılarak Türkçe kod açıklamalarıyla TEMEL SEVİYEDE pratik derin öğrenme uygulamaları.

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该存储库包含由deeplearning.ai提供的相关课程的个人的笔记和实现代码。

Artificial intelligence/machine learning course at UCF in Spring 2020 (Fall 2019 and Spring 2019)

Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera

Toy implementations of some popular ML optimizers using Python/JAX