Stars
Analyzing different ML model comparison metrics
code and data for the time series analysis vids on my YouTube channel
Reinforcement learning for operation research problems with OpenAI Gym and CleanRL
A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)
Three fast ROC AUC calculation implementations for python
Attention based model for learning to solve different routing problems
A Library for Advanced Deep Time Series Models.
About Code release for "PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting"
MATLAB code for the paper "Bootstrapping the Out-of-sample Predictions for Efficient and Accurate Cross-Validation".
Wind energy production prediction.
Mode Connectivity and Fast Geometric Ensembles in PyTorch
Must-read papers and resources related to causal inference and machine (deep) learning
Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
Causal discovery algorithms and tools for implementing new ones
Stream-based Active Learning with Verification Latency in Non-stationary Environments
PyTorch implementations of deep reinforcement learning algorithms and environments
Here you can find the information you need in order to take part in the GECCO 2023 Space Optimisation Competition (SpOC) organised by the Advanced Concepts Team (ACT).
Task-Sensitive Concept Drift Detector with Constraint Embedding
Python Darts deep forecasting models
PyTorch code to run synthetic experiments.