1132 Open source projects that are alternatives of or similar to Sparse Evolutionary Artificial Neural Networks

deeplearning.ai , By Andrew Ng, All video link

A collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)

The Cutest Deep Learning Framework which is also a wonderful Declarative Language

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification

Curated Tensorflow code resources to help you get started with Deep Learning.

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

NeuPy is a Tensorflow based python library for prototyping and building neural networks

An Interactive Approach to Understanding Deep Learning with Keras

(ECCV 2020) Tensorflow implementation of A Generic Visualization Approach for Convolutional Neural Networks

X-ray Images (Chest images) analysis and anomaly detection using Transfer learning with inception v2

A comparison between humans, neuroevolution and multilayer perceptrons playing Flapy Bird implemented in Python

Hand Written course notes of Deep Learning Specialization by Andrew NG on Coursera

Detect the programming language of a source code

NEATEST: Evolving Neural Networks Through Augmenting Topologies with Evolution Strategy Training

Deep Learning Library. For education. Based on pure Numpy. Support CNN, RNN, LSTM, GRU etc.

Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.

Lets Learn AI

Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.

📢 Ready to learn or review your knowledge!

Evolutionary Algorithms Framework

Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification

Pytorch implementation of ICRA 2020 paper "360° Stereo Depth Estimation with Learnable Cost Volume"

Top 200 deep learning Github repositories sorted by the number of stars.

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

High-quality Neural Networks for Computer Vision 😎

Deep Learning using Rectified Linear Units (ReLU)

Vita - Genetic Programming Framework

Minimalistic Multiple Layer Neural Network from Scratch in Python.

A java implementation of NEAT(NeuroEvolution of Augmenting Topologies ) from scratch for the generation of evolving artificial neural networks. Only for educational purposes.

RAD: Reinforcement Learning with Augmented Data

Learning to Cluster. A deep clustering strategy.

real-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA 2019 paper (Samarth / Bhowmik / Breckon)

EXONA: The Evolutionary eXploration of Neural Networks Framework -- EXACT, EXALT and EXAMM

🤖 A portable, header-only, artificial neural network library written in C99

This is an open sourced book on deep learning.

PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）

Evolution Simulator with Box2D

RMDL: Random Multimodel Deep Learning for Classification

tensorflow implementation of Exploring Randomly Wired Neural Networks for Image Recognition

Service Classification based on Service Description

Code for Java Deep Learning Cookbook

Python implementation of the NEAT neuroevolution algorithm

Deep-Atrous-CNN-Text-Network: End-to-end word level model for sentiment analysis and other text classifications

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection

A 2D Unity simulation in which cars learn to navigate themselves through different courses. The cars are steered by a feedforward neural network. The weights of the network are trained using a modified genetic algorithm.

A curated list of almost all machine learning algorithms and deep learning algorithms grouped by category.

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Artificial Neural Networks for Scala

DeText: A Deep Neural Text Understanding Framework for Ranking and Classification Tasks

Deep neural network to extract intelligent information from invoice documents.

Python package containing all custom layers used in Neural Networks (Compatible with PyTorch, TensorFlow and MegEngine)

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!

Caffe2 on iOS Real-time Demo. Test with Your Own Model and Photos.

Yet another neural network library

DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

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