106 Open source projects that are alternatives of or similar to BNN-ANN-papers

Handwritten digits, a bit like the MNIST dataset.

An Interactive Approach to Understanding Deep Learning with Keras

Code for Java Deep Learning Cookbook

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

Fast Deep Learning Library (DLL) for C++ (ANNs, CNNs, RBMs, DBNs...)

Always sparse. Never dense. But never say never. A repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).

MIVisionX toolkit is a comprehensive computer vision and machine intelligence libraries, utilities and applications bundled into a single toolkit.

An AI to teach Google Chrome's dinosaur to jump obstacles.

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

A Neural Networking library based on NumPy only

CAI NEURAL API - Pascal based neural network API optimized for AVX, AVX2 and AVX512 instruction sets plus OpenCL capable devices including AMD, Intel and NVIDIA.

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

A Knowledge Base for the FB Group Artificial Intelligence and Deep Learning (AIDL)

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

Python implementation of the Epigenetic Robotic Architecture (ERA). It includes standalone classes for Self-Organizing Maps (SOM) and Hebbian Networks.

simple neural network library in ANSI C

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

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

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

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

Re-implementation of TensorFlow in pure python, with an emphasis on code understandability

Neuron class provides LNU, QNU, RBF, MLP, MLP-ELM neurons

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

Artificial Neural Networks for Scala

Rocket powered machine learning. Create, compare, adapt, improve - artificial intelligence at the speed of thought.

Curso de Introducción a Machine Learning con Python

A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.

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

Censorship-resistant trustless protocols for smart contract, generic & high-load computing & machine learning on top of Bitcoin

This is a collection of some of the important machine learning algorithms which are implemented with out using any libraries. Libraries such as numpy and pandas are used to improve computational complexity of algorithms

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Use unsupervised and supervised learning to predict stocks

Python implementation of the NEAT neuroevolution algorithm

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.

👨🏽‍🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋

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

A High Level Python Library to empower students, developers to build applications and systems enabled with computer vision capabilities.

Yet another neural network library

TensorFlow C API Class Wrapper in Server Side Swift.

Unsupervised ML algorithm for predictive modeling and time-series analysis

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A deep learning based gaze estimation framework implemented with PyTorch

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

C# implementation of the various algorithms based on Genetic Algorithm, Genetic Programming and Artificial Neural Networks.

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

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

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⚙️ Solving sudoku using Deep Reinforcement learning in combination with powerful symbolic representations.

PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, GR, GR+distill, RtF, ER, A-GEM, iCaRL).

The light deep learning framework for study and for fun. Join us!

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

Evaluate three types of task shifting with popular continual learning algorithms.

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No description or website provided.

Visualizing Artificial Neural Networks (ANNs) with just One Line of Code

Insanely fast Open Source Computer Vision library for ARM and x86 devices (Up to #50 times faster than OpenCV)

Udemy Derin Öğrenmeye Giriş Kursunun Uygulamaları ve Daha Fazlası

A brain-inspired version of generative replay for continual learning with deep neural networks (e.g., class-incremental learning on CIFAR-100; PyTorch code).