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AI agents running research on single-GPU nanochat training automatically
Repository for Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification (NeurIPS 2024)
Lightweight library for probabilistic forecast evaluation and optimization.
Official repository for the paper "Sparse Graph Learning from Spatiotemporal Time Series" (JMLR 2023)
Tensorflow/keras based implementations of scoring rule based distributional regression neural networks.
Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.
Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
QRNN (Quantile Regression Neural Network) Keras version
An SMS-forwarding Robot Running on Your outdated Android Device.
https://www.kaggle.com/c/jigsaw-multilingual-toxic-comment-classification/overview
Practical assignments of the Deep|Bayes summer school 2019
Anomaly detection related books, papers, videos, and toolboxes. Last update late 2025 for LLM and VLM works!
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
A repo for my workshop at Junction 2018, Helsinki
An introduction to the 46elks API with code examples
Data, Benchmarks, and methods submitted to the M4 forecasting competition
PlayGround: AI Research into Multi-Agent Learning.
mlpack: a fast, header-only C++ machine learning library
A topic-centric list of HQ open datasets.
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
Small library for running Keras models from a C++ application
Karl Sims, Evolving Virtual Creatures by Unity.