A Keras CTC implementation of Baidu's DeepSpeech for model experimentation
To address some of the failure modes in training of physics informed neural networks, a Lagrangian architecture is designed to conform to the direction of travel of information in convection-diffusion equations, i.e., method of characteristic; The repository includes a pytorch implementation of PINN and proposed LPINN with periodic boundary cond…
Python implementation of the NEAT neuroevolution algorithm
Yet Another Neural Network Library 🤔
AURORA (Artificial Unified Responsive Optimized Reasoning Agent) uses lobes and web research for RAG based memory and learning.
Render GeoJSON polygons over aerial imagery and analyse pixels covered by vegetation; used to calculate green spaces in residential gardens
Automatically notifies you of start and completion using environment variables
Python library for effective management and organising experiments on thе Google Colab platform with sharing and running in parallel across different Colab accounts. 😍
Нейронная сеть оптимизируемая с помощью генетического алгоритма. Задача агента контролируемого при помощи нейронной сети состоит в том, чтобы избегать контакта с противниками, как можно более длительное время.
Code for my youtube video: Neural Network Crash Course, Ep 1
A project designed for Computational Intelligence course that uses a combination of evolutionary algorithms and neural networks.
NN and CNN implementation from scratch in PyTorch with data loading, training, and evaluation phase on CIFAR 100 image dataset
Script for data generation and Code for our article "Predicting the future of excitation energy transfer in light-harvesting complex with artificial intelligence-based quantum dynamics"
Basic neural network library
Useful framework for PyTorch research and developing
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