artificial
There are 196 repositories under artificial topic.
saharmor/dalle-playground
A playground to generate images from any text prompt using Stable Diffusion (past: using DALL-E Mini)
Josh-XT/AGiXT
AGiXT is a dynamic AI Agent Automation Platform that seamlessly orchestrates instruction management and complex task execution across diverse AI providers. Combining adaptive memory, smart features, and a versatile plugin system, AGiXT delivers efficient and comprehensive AI solutions.
DonTizi/ReMind
Your Local Artificial Memory on your Device.
shramos/practical-ml-for-cybersecurity
More than twenty practical cases with real datasets of application of Machine Learning to the field of Cybersecurity
DanielBalsam/surv_ai
A framework to empower forecasting using Large Language Models (LLMs)
GSimas/Deep-LearningAI
🇦🇮 Deep Learning AI course on Coursera (Andrew Ng)
xluxeq/GPT2-Telegram-Chatbot
GPT-2 Telegram Chat bot
CarsonScott/HSOM
Hierarchical self-organizing maps for unsupervised pattern recognition
xluxeq/GPT3-Telegram-Chatbot
OpenAI chatbot for Telegram using GPT-3.
IDouble/Deep-Learning-Machine-Learning-AI-TensorFlow-Python
🐍 A Collection of Notes for Learning & Understanding Deep Learning / Machine Learning / Artificial Intelligence (AI) with TensorFlow 🐍
marcocesarato/PHP-Malware-Collection
Collection of php malware/backdoors/shell
exajobs/machine-learning-collection
A collection of awesome Machine Learning software, libraries, Learning Tutorials, documents, books, resources and interesting stuff in ML
NHSDigital/artificial-data-generator
Pipelines for generating large volumes of anonymous artificial data that share some of the characteristics of real NHS data
Percona-QA/gaai
gaai - Genetic Algorithm Artificial Intelligence Database Performance Tuning
primaryobjects/genetic-programming
Genetic programming for math equations with prefix expression trees.
victordibia/cocoafrica
A Curation Tool and Dataset of Common Objects in the Context of Africa
AGiXT/python-sdk
AGiXT is a dynamic AI Automation Platform that seamlessly orchestrates instruction management and complex task execution across diverse AI providers. Combining adaptive memory, smart features, and a versatile plugin system, AGiXT delivers efficient and comprehensive AI solutions.
vijayg15/Keras-FaceMask-Detection-System
Face-mask detection system using YOLOv3 in Keras
Tolga1452/ai-prompts
A collection of system prompts of AIs.
cchighman/PriusWatchML
Complete proof of concept combining artificial intelligence, machine learning, and thousands of publicly available traffic cameras to place an entire city under surveillance with inference bots watching for a stolen car every single moment.
aaditkapoor/SigNet
SigNet (Detecting Signature Similarity using Machine Learning/Deep Learning): Is this the end of Human Forensic Analysis?
Achiket123/chatbot
Chatbot App using Gemini API This Flutter repository demonstrates a chatbot application integrating with the Gemini API. The app enables users to interact with a chatbot for various tasks, information retrieval, and handling queries.
ultimatepritam/Jarvis
Jarvis Artificial Intelligence Project in Python
XxcuriousxX/Pacman-Artificial-Intelligence
Artificial Intelligence Assignments DIT UoA
smallbutfine/GuitarAmpModellingGUI
GUI for easier installation and training of neural network models for guitar amplifiers and pedals, based on the GuitarML Proteus models. These are usable for Proteus, Chowdhury-DSP BYOD and even NeuralPi VST plugins, on all platforms incl. Linux and RaspberryPi.
andresz1/sobreai
Descubre las últimas innovaciones en herramientas, sitios web y aplicaciones con Inteligencia Artificial
rubenandrebarreiro/gpu-cuda-self-organising-maps
🧠 💡 📈 A project based in High Performance Computing. This project was built using CUDA (Compute Unified Device Architecture), C++ (C Plus Plus), C, CMake and JetBrains CLion. The scenario of the project was a GPU-based implementation of the Self-Organising-Maps (S.O.M.) algorithm for Artificial Neural Networks (A.N.N.), with the support of CUDA (Compute Unified Device Architecture), using its offered parallel optimisations and tunings. The final goal of the project was to test the several GPU-based implementations of the algorithm against a given CPU-based implementation of the same algorithm and, evaluate and compare the overall performance (speedup, efficiency and cost).
iamraufu/BRACUCSE422
Artificial Intelligence - Summer 2021
strawmanbobi/texas-poker-engine
Dummy Texas Poker Engine open source edition
manauref/PMGsolver
Parallel Multigrid solvers for Poisson, modified Helmholtz and implicit hyperdiffusion
NHSDigital/RAP_example_pipeline_python
An example pipeline made in a RAP friendly way, using Python
prabhatnagarajan/dqn
This repository contains a python implementation of a Deep Q-Network (DQN) for Atari gameplay using tensorflow.
primaryobjects/strips-fiddle
An online editor for STRIPS AI planning with PDDL. Created with meteor.js.
yashpatel5400/DeepGIF
Architectural style transfer using deep-learning. Implemented for Computer Vision 2016 (Princeton University) by Richard Du, Yash Patel, and Jason Shi
fazeelkhalid/AutoPlayer-Chess-With-Alpha-Beta-Pruning
Game of chess has been a classic AI problem and these days there are several excellent open source implementations of automatic chess players are available on line. In this assignment we are going to make yet another FAST-chess player that will play chess using some well-established strategies along with MINIMAX to compute moves for a chess player. To complete this assignment you have been provided with an abstract base class called chessPlayer and two demo player classes named humanPlayer and autoPlayer. Along with these two class, another class, called gameState, is also provided that holds state of the game at any given time. The state of the chess at any given time consists of information about player turn (i.e. an enumeration called Color with a value of 1 means WHITE player will move and 0 means BLACK player will move) and an 8 x 8 chess board with chess pieces encoded as shown below.
TriadmanInit1/Janex-Python
A free open-source framework which can be used to build interactive AIs.