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This is a repository for the LinkedIn Learning course Practical Python for Algorithmic Trading
Repository for the Hybrid Renewable Energy Forecasting and Trading Competition containing utilities and a "Getting Started" guide.
chengzeyi / pytorch-intel-mps
Forked from pytorch/pytorchA fork of PyTorch that supports the use of MPS backend on Intel Mac without GPU card.
Colab demo of stable-fast, an acceleration framework for diffusers
Build high quality, enterprise-grade Shiny apps at speed
Python package for deploying Shinylive applications
Rainfall analysis of Maharashtra - Season/Month wise forecasting. Different methods have been used. The main goal of this project is to increase the performance of forecasted results during rainy s…
booysej / soorgeon
Forked from ploomber/soorgeonConvert monolithic Jupyter notebooks 📙 into maintainable Ploomber pipelines. 📊
This is a set of python codes that forecast electricity price in wholesale power markets using an integrated long-term recurrent convolutional network (Integrated LRCN) model: day-ahead price predi…
This repository contains Python code that implements an optimized charging scheme for an Electric Vehicle (EV) and a Battery Energy Storage System (BESS). The optimization aims to minimize the cost…
Data sets and scripts for the publication in Energy and Buildings Data driven prediction models of energy use of appliances in a low-energy house. Luis M. Candanedo, Véronique Feldheim, Dominique D…
A workflow to build models of the European electricity system for Calliope.
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
Python client for CAMS radiation service.
Downloading meteorological information from GFS
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
Models and examples built with TensorFlow
Hackathon by Machine Hack