GPSS GROUP's Projects
Trading with recurrent actor-critic reinforcement learning
A Design Platform Powered by AI
Research code for Bayesian Renewables Scenario Generation via Deep Generative Networks
Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting
playing idealized trading games with deep reinforcement learning
E2guardian is a web content filter that can work in proxy, transparent or icap server modes
Harvard CS109: A predictive model for electricity prices in the midwest, and more specifically, the prices of nodes where nuclear plants are located
A Deep Reinforcement Learning Library for Automated Trading in Quantitative Finance, NeurIPS 2020 DRL workshop.
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
Awesome Easy-to-Use Deep Time Series Modeling based on PaddlePaddle, including comprehensive functionality modules like TSDataset, Analysis, Transform, Models, AutoTS, and Ensemble, etc., supporting versatile tasks like time series forecasting, representation learning, and anomaly detection, etc., featured with quick tracking of SOTA deep models.
A single node.js script to automatically inject user/password to http proxy server via a local forwarder
The implementation of scenario generation for renewables production process
Escritório virtual da Pagar.me
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
GPSS map for WorkAdventure