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34 search results found

Neural Tangents ⭐ 2,149

Fast and Easy Infinite Neural Networks in Python

Neuralnetwork.net ⭐ 472

A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN

Ai Simplest Network ⭐ 317

The simplest form of an artificial neural network explained and demonstrated.

Deep Learning From Scratch ⭐ 250

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

Machine_learning_2018 ⭐ 146

Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz

Deep Learning Coursera ⭐ 102

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

Sentiment ⭐ 85

An example project using a feed-forward neural network for text sentiment classification trained with 25,000 movie reviews from the IMDB website.

Flatiron School Data Science Curriculum Resources ⭐ 75

Lesson material on data science and machine learning topics/concepts

Nn Scratch ⭐ 74

Coding up a Neural Network Classifier from Scratch

Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux

Pathnet Pytorch ⭐ 60

PyTorch implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks

NTK reading group

neural network library in go from scratch

Machine Learning Research Papers ⭐ 22

Collection of machine learning research paper references

Neural_tangent_kernel ⭐ 22

Minimalistic Multiple Layer Neural Network From Scratch In Python ⭐ 21

Minimalistic Multiple Layer Neural Network from Scratch in Python.

Minineuralnets ⭐ 19

A framework for mini neural networks (perceptrons), written from scratch in python. The goal of the project is to demystify the workings of a neural network and various training algorithms by providing code written from scratch for the simplest neural network one could have.

Ascii Net ⭐ 16

A little experiment using neural networks to generate ASCII art

Adam Vs Sgd Numpy ⭐ 14

A 3-layer neural network with SGD and Adam optimizers built from scratch with numpy.

Deep Learning ⭐ 13

Deep Learning section of the Algorithms in Machine Learning class at ISAE-Supaero

Neural Networks Py ⭐ 12

Core neural networks framework supporting to build multilayer perceptron

Mnist Neural Network Classifier ⭐ 12

A trained neural network built from scratch to classify clothes and digits from the MNIST dataset

Porthamiltoniannn ⭐ 11

Port-Hamiltonian Approach to Neural Network Training

Nim Rmad ⭐ 10

Autograd (backpropagation, reverse-mode auto differentiation) in Nim

Deepneuralnetwork ⭐ 10

Deep neural network implemented in Java from scratch, without using library/framework.

Self Driving Robot Using Neural Network ⭐ 9

This project introduces the autonomous robot which is a scaled down version of actual self-driving vehicle and designed with the help of neural network. The main focus is on building autonomous robot and train it on a designed track with the help of neural network so that it can run autonomously without a controller or driver on that specific track. The robot will stream the video to laptop which will then take decisions and send the data to raspberry pi which will then control the robot using m

Neural Networks in Java 8 with CuDNN and Aparapi

Digit Recognizer ⭐ 8

A project I made to practice my newfound Neural Network knowledge - I used Python and Numpy to train a network to recognize MNIST images. Adam and mini-batch gradient descent implemented

Neuralnetworks ⭐ 8

Neural networks library for Clojure. Built on top of core.matrix

Neural network from scratch in Python using Numpy

Machine_learning ⭐ 7

Machine Learning - Coursera.org

Mypythonneuralnetwork ⭐ 6

A neural network class in Python built from scratch

Gradient Descent ⭐ 6

Let's learn gradient descent by using linear regression, logistic regression and neural networks!

Simple Neural Network ⭐ 5

A scratch written, regressive/progressive propagation therein gradient descent aligned artificial neural network framework program of mine, that reasonably models human neuronal phenomena. (written in java; by Jordan Micah Bennett)

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