134 Open source projects that are alternatives of or similar to leabra

An Awesome List of Cognitive Science Resources

认知计算神经联盟 讨论会

simulations for the Computational Cognitive Neuroscience textbook

The Human Neocortical Neurosolver (HNN) is a software tool that gives researchers/clinicians the ability to develop/test hypotheses on circuit mechanisms underlying EEG/MEG data.

No description or website provided.

Computational Neuroscience Crash Course (University of Bordeaux, 2020)

Systems Neuroscience Computing in Python: user-friendly analysis of large-scale electrophysiology data

Implementation of Artificial Neural Networks using NumPy

Deep Learning using Rectified Linear Units (ReLU)

No description or website provided.

Brain Dynamics Programming in Python

Nuerapse simulations for SNNs

A Deep-Learning multi-purpose chatbot made using Python3

A virtual optogenetics laboratory

The "Supersymmetric Artificial Neural Network" (or "Edward Witten/String theory powered artificial neural network") is a Lie Superalgebra aligned algorithmic learning model, based on evidence pertaining to Supersymmetry in the biological brain.

two soldiers shooting at each other, controlled by a neural network with a genetic algorithm.

Triple Branch BERT Siamese Network for fake news classification on LIAR-PLUS dataset in PyTorch

A recurrent/memory-based neural network library implemented from scratch in C.

A simple implementation to create and train a neural network in python. This implementation does not use any machine learning framework.

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

YASS: Yet Another Spike Sorter

Perfect TensorFlow Server Example of Computer Vision

RidgeRun Inference Framework

The GeniSys TASS Devices & Applications use Siamese Neural Networks and Triplet Loss to classify known and unknown faces.

Modern port of Melanie Mitchell's and Douglas Hofstadter's Copycat

No description or website provided.

Classifying the Blur and Clear Images

Deep active inference agents using Monte-Carlo methods

Cut out objects and remove backgrounds from pictures with artificial intelligence

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

A package for data-driven validation of neuron and ion channel models using SciUnit

Training with FP16 weights in PyTorch

A toy model of Friston's active inference in Tensorflow

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

The backpropagation algorithm explained and demonstrated.

CVPR 2022: Cross-Modal Perceptionist: Can Face Geometry be Gleaned from Voices?

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

❄️ 🐳 Awesome tools and libs for AI, Deep Learning, Machine Learning, Computer Vision, Data Science, Data Analytics and Cognitive Computing that are baked in the oven to be Native on Kubernetes and Docker with Python, R, Scala, Java, C#, Go, Julia, C++ etc

A simple tool to extract motion vectors from h264 encoded videos.

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

Serving a keras model (neural networks) in a website with the python Django-REST framework.

Useful Toolbox for Anomaly Detection

Statistical inference on machine learning or general non-parametric models

KitcheNette: Predicting and Recommending Food Ingredient Pairings using Siamese Neural Networks

The Unpack.AI library

A beginner's roadmap to getting started in Machine Learning, by COPS IIT(BHU).

A large-scale spiking model of the vision-related areas of macaque cortex.

Auryn: A fast simulator for spiking neural networks with synaptic plasticity

Papers : Biological and Artificial Neural Networks

A one-page, Visual Canvas for Emerging Technology Evaluation, in the style of “the Business model Canvas".

A collection of Methods and Models for various architectures of Artificial Neural Networks

Short undergraduate course taught at University of Pennsylvania on computational and theoretical neuroscience. Provides an introduction to programming in MATLAB, single-neuron models, ion channel models, basic neural networks, and neural decoding.

In which prediction agents organize themselves through competition.

Formal Psychological Models of Categorization and Learning

Prolog puzzles for fun and profit (mostly fun)

A collection of deep learning models with a unified API.

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

EmbeddedML was created to be an alternative to the limited options available for Artificial Neural Networks in C. It is designed to be efficient without sacrificing ease of use. It is meant to support students as well as industry experts as it is built to be expandable and straightforward to manipulate.

Repository containing Jupyter Notebooks for the TensorFlow in Practice specialization in Coursera

Brain models implementation with BrainPy