105 Open source projects that are alternatives of or similar to Continual Learning Benchmark

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

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

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

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.

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

Perfect TensorFlow Server Example of Computer Vision

A Deep-Learning multi-purpose chatbot made using Python3

Training with FP16 weights in PyTorch

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

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

Deep Learning using Rectified Linear Units (ReLU)

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

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

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

A collection of deep learning models with a unified API.

My bachelor's thesis—analyzing the application of LSTM-based RNNs on financial markets. 🤓

Classifying the Blur and Clear Images

Nuerapse simulations for SNNs

Cut out objects and remove backgrounds from pictures with artificial intelligence

No description or website provided.

The backpropagation algorithm explained and demonstrated.

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

Implementation of Artificial Neural Networks using NumPy

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

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

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

No description or website provided.

Statistical inference on machine learning or general non-parametric models

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

The Unpack.AI library

RidgeRun Inference Framework

Papers : Biological and Artificial Neural Networks

No description or website provided.

An Awesome List of Cognitive Science Resources

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

Python implementation of the NEAT neuroevolution algorithm

Codes and Templates from the SuperDataScience Course

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

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

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

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

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

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

State of the Art Neural Networks for Deep Learning

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