Top 697 neural-networks open source projects

Simple code tutorial for deep belief network (DBN)

Java Autonomous Driving Appplication. Real time video car,pedistrians detection

tensorflow2.x implementations of Generative Adversarial Networks.

Image deblurring with Convolutional Neural Networks. Scripts & Neural network models available here

Cut out objects and remove backgrounds from pictures with artificial intelligence

N-dimensional arrays in Scala 3. Think NumPy ndarray, but type-safe over shapes, array/axis labels & numeric data types

All notes and materials for the CS229: Machine Learning course by Stanford University

Your local Flux surgeon

Compare neural networks by their feature similarity

DANA: Dimension-Adaptive Neural Architecture (UbiComp'21)( ACM IMWUT)

Coding up a Neural Network Classifier from Scratch

cRNN-GAN to generate music by training on instrumental music (midi)

Deep Learning Applied To Vehicle Registration Plate Detection and Recognition in PyTorch.

Benchmarks for semi-supervised domain generalization.

Usage of genetic algorithms to train a neural network in multiple OpenAI gym environments.

A REST API to serve machine learning and deep learning models

A program for kids who want to build good AI

Booklet and exam of Artificial Intelligence Master Degree at Amirkabir University of technology.

Only in native python & numpy with Keras interface

Semantic Similarity Measurement of Texts using Convolutional Neural Networks (He et al., EMNLP 2015)

Run ONNX and TensorFlow inference in the browser.

Multiclass image classification using Convolutional Neural Network

Code and Data for all experiments from our ACL 2018 paper "Hierarchical Losses and New Resources for Fine-grained Entity Typing and Linking"

Unofficial pytorch implementation of Born-Again Neural Networks.

A variational implementation of classical and quantum annealing using recurrent neural networks for the purpose of solving optimization problems.

DeepFaceLab fork which provides IPython Notebook to use DFL with Google Colab

Caffe Squeezenet model for binary classification of pornographic/non-pornographic material

Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks

Take MNIST TensorFlow deep neural network, run on iOS BNNS

Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.

Code for "Learning Inductive Biases with Simple Neural Networks" (Feinman & Lake, 2018).

Information Retrieval in High Dimensional Data (class deliverables)

Neural machine translation implementation using dynet's python bindings

StyleGAN Encoder - converts real images to latent space

Neural network transition-based dependency parser (in Rust)

Paraphrase question identification using Feature Fusion Network (FFN).

Keras implementation of Neural Graph Fingerprints as proposed by Duvenaud et al., 2015

Constraint Optimization with Lava

🤖A list of resources to help anyone getting started with GANs 🤖

⚡ Using deep learning (MLP, CNN, Graph CNN) to classify text in TensorFlow.

A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2022 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!

CycleGAN based neural network architecture to change the gender of a person’s face

Nonlinear Independent Components Estimation (Dinh et al, 2014) in PyTorch.

JeVois base collection of algorithms and modules

An implementation of "A Neural Algorithm of Artistic Style" in Keras

No description or website provided.

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

Implemented here a Binary Neural Network (BNN) achieving nearly state-of-art results but recorded a significant reduction in memory usage and total time taken during training the network.

Examples for usage of Mindsdb https://www.mindsdb.com/

Library containing attribution and interpretation methods for deep nets.

A curated list of awesome Single-view 3D Object Reconstruction papers & resources

<Do it! 딥러닝 입문> 도서의 주피터 노트북

Caffe version Generalized & Distance & Complete Iou loss Implementation for Faster RCNN/FPN bbox regression

Beta Machine Learning Toolkit

Predict materials properties using only the composition information!

A realtime digit OCR on the browser using Machine Learning

Network Intrusion Detection System using Deep Learning Techniques

PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks

Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)

Deep Learning Specialization Course by Coursera. Neural Networks, Deep Learning, Hyper Tuning, Regularization, Optimization, Data Processing, Convolutional NN, Sequence Models are including this Course.