PyTorch implementation for "Training and Inference on Any-Order Autoregressive Models the Right Way", NeurIPS 2022 Oral, TPM 2023 Best Paper Honorable Mention

add statistical significance annotations on seaborn plots. Further development of statannot, with bugfixes, new features, and a different API.

Implementation of papers in 100 lines of code.

Portfolio REgret for Confidence SEquences

Removes large or troublesome blobs like git-filter-branch does, but faster. And written in Scala

A benchmark for distribution shift in tabular data

Domain adaptation toolbox compatible with scikit-learn and pytorch

TabDPT: Scaling Tabular Foundation Models

Uniform sampling on various geometric shapes

Moonglow pre-commit hooks

The Open Source AI-Powered Code Editor. A fork of VSCode and Continue and PearAI

Minimal implementation of scalable rectified flow transformers, based on SD3's approach

A scalable implementation of diffusion and flow-matching with XGBoost models, applied to calorimeter data.

The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization

Comparison of missForestPredict with other imputation methods

Tabular data imputation and generation via incremental XGBoost unmasking

Fitness landscapes for antibodies

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

[ICLR 2023] "HotProtein: A Novel Framework for Protein Thermostability Prediction and Editing" by Tianlong Chen*, Chengyue Gong*, Daniel Jesus Diaz, Xuxi Chen, Jordan Tyler Wells, Qiang Liu, Zhangy…

A convolutional neural network model to predict spatial charge map (SCM) score, a molecular dynamics simulation-based model to predict antibody viscosity.

Supplementary files for paper accepted to NeurIPS 2020. Title: Robustly Correcting Sampling Bias using Cumulative Distribution Functions