822 Open source projects that are alternatives of or similar to Applying_eanns

[ECCV2020] NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search

📈 Find your fasttext hyperparameters quickly and easily.

Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.

Udacity Self-Driving Car Engineer Nanodegree. Project: Build a Traffic Sign Recognition Classifier

Official Repsoitory for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]

Solving the nqueens problem using genetic algorithm

Denoising Autoencoders for Phenotype Stratification

An open grammatical dictionary of Russian

Deep Learning tools for brain medical images

Notes on Deep Reinforcement Learning for Natural Language Processing papers

Using Tensorflow to classify the NIST Dataset 19 (Handwriting)

Genetic neural architecture search with Keras

MemeGen is a web application where the user gives an image as input and our tool generates a meme at one click for the user.

🎨 Artistic neural style transfer with tweaks (pytorch).

ASP.Net Core GraphQL Middleware

Adventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h non-stop) prediction challenge

A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.

Neural networks + Genetic algorithm on unity

A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2017

Evolutionary algorithm toolbox and framework with high performance for Python

Train Neuronal networks to automate your home

Tiny, no-nonsense, self-contained, Tensorflow and ONNX inference

Distributed Learning by Pair-Wise Averaging

Node js trading bot, let you create trading strategy and run it (backtest/simulation/live)

This repository contains code and files related to ASP.NET

Daily Dose of Neural Network that Everyone Needs

repo with challenge material for riceteacatpanda (2020)

Yet another neural network library

A curated list of awesome resources related to capsule networks

JavaScript Digital Organisms simulator

Crystal Graph Neural Networks

Official PyTorch implementation of paper "A Hybrid Compact Neural Architecture for Visual Place Recognition" by M. Chancán (RA-L & ICRA 2020) https://doi.org/10.1109/LRA.2020.2967324

Python package that implements Continuous Time Recurrent Neural Networks (CTRNNs)

asp命令执行webshell

Courses, Articles and many more which can help beginners or professionals.

迅雷快鸟For Merlin小宝改版固件

A Vue.js single page application for basic Management By Objective tasks using ASP .NET Webapi 2 and SQL server

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

Some notebooks

TensorHub is a library built on top of TensorFlow 2.0 to provide simple, modular and repeatable abstractions to accelerate deep learning research.

Lyrics-to-audio-alignement system. Based on Machine Learning Algorithms: Hidden Markov Models with Viterbi forced alignment. The alignment is explicitly aware of durations of musical notes. The phonetic model are classified with MLP Deep Neural Network.

Automated Line Fitting Algorithm

Classic ASP chat application

Computer code collated for use with Artificial Intelligence Engines book by JV Stone

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

This is a webshell open source project

Reproducing MuJoCo benchmarks in a modern, commercial game /physics engine (Unity + PhysX).

This repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.

GeneticSharp is a fast, extensible, multi-platform and multithreading C# Genetic Algorithm library that simplifies the development of applications using Genetic Algorithms (GAs).

Descriptive Deep Learning

Unsupervised ML algorithm for predictive modeling and time-series analysis

High-efficiency floating-point neural network inference operators for mobile, server, and Web

Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans

A Tensorflow implementation of the Adaptive Neuro-Based Fuzzy Inference System (ANFIS)

Neural agents learn to play in an agario-like environment with Neataptic

An Interactive Approach to Understanding Deep Learning with Keras

pyclustring is a Python, C++ data mining library.

Implementation of Quickdraw - an online game developed by Google

Finding the genre of a song with Deep Learning

🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps