ML
Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, 2022)
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
An elegant adaptive importance sampling algorithms for simulations of multi-modal distributions (NeurIPS'20)
The Arbor multi-compartment neural network simulation library.
EquiBind: geometric deep learning for fast predictions of the 3D structure in which a small molecule binds to a protein
Nested Hierarchical Transformer https://arxiv.org/pdf/2105.12723.pdf
Official repository for the paper "A Modern Self-Referential Weight Matrix That Learns to Modify Itself" (ICML 2022 & NeurIPS 2021 Deep RL Workshop) and "Accelerating Neural Self-Improvement via Bo…
DoubleML - Double Machine Learning in Python
Forecasting lectures and tutorials using Python
A research library for automating experiments on Deep Graph Networks
Probabilistic time series modeling in Python
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum compu…
Code and resources on scalable and efficient Graph Neural Networks (TNNLS 2023)
U-Time: A Fully Convolutional Network for Time Series Segmentation
Deep learning with spiking neural networks (SNNs) in PyTorch.
Minimal Deep Q Learning (DQN & DDQN) implementations in Keras
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
a visual dictionary of Bayesian Networks and Causal Inference.
Code for "R-GCN: The R Could Stand for Random"
Generalized linear mixed model elastic net
Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.
Repository of Transformer based PyTorch Time Series Models
Convert Machine Learning Code Between Frameworks