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Free Weather Forecast API for non-commercial use
A system to predict hourly carbon intensity in the electrical grids using machine learning. CarbonCast provides average carbon intensity forecasts for up to 96 hours.
A game theoretic approach to explain the output of any machine learning model.
A short digital signal processing primer with example code snippets in Python
Run ruff, isort, pyupgrade, mypy, pylint, flake8, and more on Jupyter Notebooks
MADE (Masked Autoencoder Density Estimation) implementation in PyTorch
Plotting pytorch tensors made easy!
⚡ Energy consumption metrology agent. Let "scaph" dive and bring back the metrics that will help you make your systems and applications more sustainable !
Training Confidence-Calibrated Classifier for Detecting Out-of-Distribution Samples / ICLR 2018
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
pipreqs - Generate pip requirements.txt file based on imports of any project. Looking for maintainers to move this project forward.
This repo contains annotated research papers that I found really good and useful
Calculating Carbon Footprint using the household expenditure data
Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen
Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave
Rich is a Python library for rich text and beautiful formatting in the terminal.
Implementation of normalizing flows in TensorFlow 2 including a small tutorial.
Bayesian Modeling and Probabilistic Programming in Python
Making carbon footprint data available to everyone.
PRML algorithms implemented in Python
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
A technical report on convolution arithmetic in the context of deep learning
A reference implementation of GraphQL for JavaScript
🌊 A flexible and fun JavaScript file upload library