Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

The official gpt4free repository | various collection of powerful language models

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

Simple and easily configurable grid world environments for reinforcement learning

Implementation of the program synthesis algorithms Sketch-SA and Sketch-UCT from the article "What can we Learn Even From the Weakest? Learning Sketches for Programmatic Strategies".

Code for Machine Learning for Algorithmic Trading, 2nd edition.

Code for "Pufferfish Privacy Mechanisms for Correlated Data"

Implementation of the contrast-set learning algorithm known as STUCCO.

talk-generator is capable of generating coherent slide decks based on a single topic suggestion.

Machine Learning and Artificial Intelligence for Medicine.

PyTorch implementations of Generative Adversarial Networks.

Demo of Machine Learning Prediction Model API with Django REST API Framework

A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functions of algorithmic trading

Generative Adversarial Network for Stock Market Price Prediction

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Advers…

The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

Using BERT For Classifying Documents with Long Texts, check my latest post: https://armandolivares.tech/

TensorFlow code and pre-trained models for BERT

This is the repo for the NLP4IF workshop shared task at EMNLP 2019

7 Segments Clock project (HW & SW) using ATMEGA328 microcontroller with Atmel Studio IDE

Object detection (faces, humans, cars) using OpenCV in Python

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning