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asynchronous-methods-for-deep-reinforcement-learning

Using a paper from Google DeepMind I've developed a new version of the DQN using threads exploration instead of memory replay as explain in here: http://arxiv.org/pdf/1602.01783v1.pdf I used the one-step-Q-learning pseudocode, and now we can train the Pong game in less than 20 hours and without any GPU or network distribution.

chatgpt-slack-bot

Slack Assistant Bot with Image Generation: this Slack Assistant Bot with Image Generation is a powerful AI-driven chatbot that helps users with various tasks within a Slack workspace. Powered by OpenAI GPT, the bot can understand and respond to user messages, as well as generate, edit, and create variations of images based on user prompts.

chess-alpha-zero

Chess reinforcement learning by AlphaGo Zero methods.

chesschatgpt

Chess ChatGPT is a Python program that allows you to play chess against a computer opponent using console input. The program integrates with OpenAI's ChatGPT model to provide intelligent moves and game analysis.

connect4-alpha-zero

Connect4 reinforcement learning by AlphaGo Zero methods.

deeplearningvideogames

devol

Automated deep neural network design via genetic programming

dnc

Differentiable Neural Computers (Testing the generalization of a sequence of sums)

dnc-tensorflow

A TensorFlow implementation of DeepMind's Differential Neural Computers (DNC)

docker

docker-magento2-intalled

Docker compose file that is able to deploy and install any Magento 2 version wished in an unattended way

dtn-tensorflow

domain transfer network. tensorFlow implementation of unsupervised cross-domain image generation

fractalexplorationimitationlearning

Using the fragile framework as a memory explorer to train a neural network in Atari games

fragile

Framework for building algorithms based on FractalAI

generative_adversarial_networks_live

leela-chess

A chess adaption of GCP's Leela Zero

leela-fish

UCI chess playing engine derived from Stockfish and LeelaChess Zero

lennardjones-evolutivo

Sistema de Lennard-Jones haciendo uso de cómputo evolutivo para generar configuraciones más complejas.

mushroom-detector-kerasjs

I explain how to export weights from a Keras model and import those weights in Keras.js, a JavaScript framework for running pre-trained neural networks in the browser. I show you later how to include the final result into a Phonegap Cordova mobile application.

muzero

A simple implementation of MuZero algorithm for connect4 game

ntm-lasagne

Neural Turing Machines library in Theano with Lasagne

parrot

RNN-based generative models for speech.

pix2pix_algebra_basica

El siguiente proyecto ha sido desarrollado para participar en el reto creado por Dot CSV (https://www.youtube.com/watch?v=BNgAaCK920E)

policy-chess

A Policy Network in Tensorflow to classify chess moves

pytorch-es-tic-tac-toe

Evolution Strategies in PyTorch (Tic-tac-toe)

random-memory-adaptation

Random memory adaptation model inspired by the paper: "Memory-based parameter adaptation (MbPA)"

schopenhauer_gpt_2

Fine-tuning a GPT-2 pretrained model in the Schopenhauer texts

supervised-learning-chess

Supervised Learning Chess (ML)

tensorflow-image-wavenet

This is a TensorFlow implementation of the WaveNet generative neural network architecture https://deepmind.com/blog/wavenet-generative-model-raw-audio/ for image generation.

tensorflow-tex-wavenet

This is a TensorFlow implementation of the WaveNet generative neural network architecture https://deepmind.com/blog/wavenet-generative-model-raw-audio/ for text generation.