Stars
Scalable and user friendly neural 🧠 forecasting algorithms.
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
Generalized and Efficient Blackbox Optimization System.
PECOS - Prediction for Enormous and Correlated Spaces
🎓 Path to a free self-taught education in Computer Science!
Unsupervised text tokenizer focused on computational efficiency
Original Apollo 11 Guidance Computer (AGC) source code for the command and lunar modules.
An efficient implementation of Partitioned Label Trees & its variations for extreme multi-label classification
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Experimental Codes for Temporal Regularized Matrix Factoriztion for High-dimensional Time Series Prediction.
Multi-fidelity Gaussian Process Bandit Optimisation
Neural Architecture Search with Bayesian Optimisation and Optimal Transport
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
A pytorch regressor that mimics the scikit-learn objects